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Changing the code of life



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On 7 October,  the Royal Swedish Academy of Sciences announced that it had awarded the 2020 Nobel Prize for Chemistry to two women scientists: Emmanuelle Charpentier (L), a French microbiologist, geneticist and biochemist,  who is now the director of the Max Planck Unit for the Science of Pathogens in Berlin, Germany, and Jennifer Doudna (R), an American biochemist  who is a professor of chemistry, biochemistry and molecular biology at UC Berkeley.

The scientists developed a simple, cheap, yet powerful, and precise technique for editing DNA, which is called CRISPR-Cas9 (an acronym for Clustered Regularly Interspaced Short Palindromic Repeats) and popularly referred to as a pair of ‘genetic-scissors’. The technology endows science and scientists with extraordinary powers to manipulate genes to cure genetic diseases, improve crops to withstand drought, mould and pests, and affect climate change, and is considered to be the most important discovery in the history of biology. The Nobel citation refers to Charpentier’s and Doudna’s scientific contribution as a, “tool for rewriting the code of life”, which has “a revolutionary impact on the life sciences, by contributing to new cancer therapies and may make the dream of curing inherited diseases come true”.


For more than four years HealthPad has been following and publishing Commentaries on the scientists’ work. Our Commentaries have a large and growing global following of leading physicians, scientists, policy makers, journalists and students. The Commentaries listed below about CRISPR techniques, which we re-publish to celebrate Charpentier’s and Doudna’s Nobel Prize, have had more than 120,000 views.
 
Gene editing positioned to revolutionise medicine
1 Feb 2017

 
Gene editing battles
15 Mar 2017

 
Who should lead MedTech?
18 Jul 18
Base-editing next-generation genome editor with delivery challenges
17 oct 2018
CRISPR-Cas9 genome editing a 2-edged sword
31 Oct 2018
Will China become a world leader in health life sciences and usurp the US?
27 Feb 2019
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Since we first published this Commentary just over a year ago it’s received over 10,000 views. We’re republishing it  as colleagues have suggested that the digitization of MedTech is more relevant today because of the impact CoVID-19 has had on the industry.
  • Two Boston Consulting Group studies say MedTech innovation productivity is in decline
  • A history of strong growth and healthy margins render MedTechs slow to change their outdated business model
  • The MedTech sector is rapidly shifting from production to solutions
  • The dynamics of MedTechs' customer supply chain is changing significantly and MedTech manufacturers are no longer in control
  • Consolidation among buyers - hospitals and group purchasing organisations (GPO) - adds downward pressure on prices
  • Independent distributors have assumed marketing, customer support and education roles
  • GPO’s have raised their fees and are struggling to change their model based on aggregate volume
  • Digitally savvy new entrants are reinventing how healthcare providers and suppliers work together
  • Amazon’s B2B Health Services is positioned to disrupt MedTechs, GPOs and distributors 
  • MedTech manufacturers need to enhance their digitization strategies to remain relevant
 
MedTech must digitize to remain relevant
 
MedTech companies need to accelerate their digital strategies and integrate digital solutions into their principal business plans if they are to maintain and enhance their position in an increasingly solution orientated healthcare ecosystem. With growing focus on healthcare value and outcomes and continued cost pressures, MedTechs need to get the most from their current portfolios to drive profitability. An area where significant improvements might be made in the short term is in MedTechs' customer facing supply chains. To achieve this, manufacturing companies need to make digitization and advanced analytics a central plank of their strategies.
 
In this Commentary
 
This Commentary describes the necessity for MedTechs to enhance their digitization strategies, which are increasingly relevant, as MedTech companies shift from production to solution orientated entities. In a previous Commentary we argued that MedTechs history of strong growth and healthy margins make them slow to change and implement digital strategies. Here we suggest that the business model, which served to accelerate MedTechs' financial success over the past decade is becoming less effective and device manufacturers need not only to generate value from the sale of their product offerings, but also from data their devices produce so they can create high quality affordable healthcare solutions. This we argue will require MedTechs developing  innovative strategies associated with significantly increasing their use of digital technology to enhance go-to-market activities, strengthen value propositions of products and services and streamline internal processes.
 
MedTechs operate with an outdated commercial model
 
Our discussion of digitization draws on two international benchmarking studies undertaken by the Boston Consulting Group (BCG). The first,  published in July 2013 and entitled, “Fixing the MedTech Commercial  Model: Still Deploying ‘Milkmen’ in a Megastore World” suggests that the high gross margins that MedTech companies enjoy, particularly in the US, hide unsustainable high costs and underdeveloped commercial skills. According to BCG the average MedTech company’s selling, general and administrative (SG&A) expenses - measured as a percentage of the cost of goods sold -  is 3.5 times higher than the average comparable technology company. The study concludes that MedTechs' outdated business model, dubbed the “milkman”, will have to change for companies to survive. 
 
BCG’s follow-up 2017 study
 
In 2017 BCG published a follow-up study entitled, “Moving Beyond the ‘Milkman’ Model in MedTech”, which surveyed some 6,000 employees and benchmarked financial and organizational data from 100 MedTech companies worldwide, including nine of the 10 largest companies in the sector. The study suggested that although there continued to be downward pressure on device prices, changes in buying processes and shrinking gross margins, few MedTech companies “have taken the bold moves required to create a leaner commercial model”.
 
According to the BCG’s 2017 study, “Overall, innovation productivity [in the MedTech sector] is in decline. In some product categories, low-cost competitors - including those from emerging markets - have grown rapidly and taken market share from established competitors. At the same time, purchasers are becoming more insistent on real-world evidence that premium medical devices create value by improving patient outcomes and reducing the total costs of care”. The growth and spread of value-based healthcare has shifted the basis of competition beyond products, “toward more comprehensive value propositions and solutions that address the entire patient pathway”. In this environment, MedTechs have no choice but to use data to deliver improved outcomes and a better customer experience for patients, healthcare providers and payers.
 
MedTech distributors increasing their market power and influence
 
Although supply chain costs tend to be MedTechs' second-highest expense after labour, companies  have been reluctant to employ digital strategies to reduce expenses and increase efficiencies. As a consequence, their customer supply chains tend to be labour intensive relationship driven with little effective sharing of data between different territories and sales teams. Customer relations are disaggregated with only modest attention paid to patients and payors and insufficient emphasis on systematically collecting, storing and analysing  data to support value outcomes.  
As MedTech manufacturers have been slow to develop strong and effective data strategies, so MedTech distributors have increased their bargaining power through M&As and internationalisation. Some distributors have even assumed marketing, customer support and education roles, while others have launched their own brands. MedTechs' response to these changes has been to increase their direct sales representatives. However, consolidation among buyers - hospitals and GPO’s -  and the extra downward pressure this puts on prices, is likely to make it increasingly costly for MedTechs to sustain large permanent sales forces. 

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Who should lead MedTech?
Advantages of distributors but no way to accurately measure sales performance

Notwithstanding, the distributor model is still common with MedTechs and has been successful in many markets for a long time. Independent distributors are often used when producers have small product portfolios. In smaller markets, distributors are employed primarily to gain economies of scale as they can combine portfolios of multiple companies to create a critical mass opportunity and  obtain better and faster access to markets.
 
MedTechs have a history of investing in sales force effectiveness (SFE) typically to increase the productivity of sales representatives. Sales leaders have some indication that this pays-off through incremental revenue growth and profits, but they struggle to assess the true performance of such investments not least because SFE includes a broad range of activities and also it is almost impossible to obtain comparative competitor data.
 
Changing nature of GPOs
 
GPO’s also have changed. Originally, they were designed in the early 20th century to bring value to hospitals and healthcare systems by aggregating demand and negotiating lower prices among suppliers. Recently however they have raised their fees, invested in data repositories and analytics and have been driving their models and market position beyond contracting to more holistic management of the supply chain dynamics. Notwithstanding, many GPO’s are struggling to change their model based on aggregate volume and are losing purchasing volume amid increasing competition and shifting preferences.
 
New entrants
The changing nature of MedTechs' customer supply chain and purchasers increasingly becoming concerned about inflated GPO prices have provided an opportunity for data savvy new entrants such as OpenMarketsThe companyprovides healthcare supply chain software that stabilizes the equipment valuation and cost reduction and aims to reinvent how healthcare providers and suppliers work together to improve the way healthcare equipment is bought and sold. OpenMarkets’ enhanced data management systems allow providers to better understand what they need to buy and when. The company represents over 4,000 healthcare facilities and more that 125 equipment suppliers; and provides a platform for over 32,000 products, which on average sell for about 12% less than comparable offerings. In addition, OpenMarkets promotes cost efficiency and price transparency as well as stronger collaboration between providers and suppliers.
 
Amazon’s B2B Health Services
 
But potentially the biggest threat to MedTech manufacturers, GPOs and distributors  is Amazon’s B2B Health Services, which is putting even more pressure on MedTechs to rethink their traditional business models and to work differently with healthcare providers and consumers. With a supply chain in place, a history of disrupting established sectors from publishing to food and a US$966bn market cap, Amazon is well positioned to disrupt healthcare supply chain practices, including contracting. In its first year Amazon’s B2B purchasing venture generated more than US$1bn and introduced three business verticals: healthcare, education and government. Already, hundreds of thousands of medical products are available on Amazon Business, from hand sanitizers to biopsy forceps. According to Chris Holt, Amazon’s B2B Health Services program leader, “there is a needed shift from an old, inefficient supply chain model that runs on physical contracts with distributors and manufacturers to Amazon's marketplace model”.

If you look at the way a hospital system or a medical device company cuts purchase orders, identifies suppliers, shops for products, or negotiates terms and conditions, much of that has been constrained by what their information systems can do. I think that has really boxed in the way that companies’ function. Modern business and the millennials coming into the workplace, can’t operate in the old way,” says Holt.

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Is the digital transformation of MedTech companies a choice or a necessity?


Millennials are used to going to Amazon and quickly finding anything they need; even the most obscure items. According to Holt, “A real example is somebody who wants to find peanut butter that is gluten-free, non-GMO, organic, crunchy and in a certain size. And they want to find it in three to five clicks. That’s the mentality of millennial buyers at home, and they want to be able to do the same things at work. . . . The shift from offline traditional methods to online purchasing is very significant. It is our belief that the online channel is going to be the primary marketplace for even the most premium of medical devices in the future. That trend is already proven by data. So, we’ve created a dedicated team within Amazon Business to enable medical product suppliers to be visible and participate in that channel.
MedTechs fight back
 
According to the two BCG reports, MedTech companies can fight back by using digital technologies to strengthen and improve their go-to-market activities. This, according to BCG, would enhance MedTechs' connectivity with their customers and help them to learn more about their needs. Indeed, employing digitization to improve customer-facing activities could help standardise order, payment and after-sales service behaviour by defining and standardizing terms and conditions. This could provide the basis to help MedTechs increase their access to a range of customers - clinicians, institutions, insurers and patients - and assist them to tailor their engagements to the personal preferences of providers and purchasers. This could provide customers with access to product and service information at anytime, anywhere and could form the basis to implement broader digitalized distribution management improvements, which focus on value-based affordable healthcare in the face of escalating healthcare costs and variable patient outcomes.
 
Predictive models
 
Many companies use predictive-modelling tools to forecast demand and geo-analytics to speed delivery and reduce inventories. Online platforms provide customers with an easy way to order products and services, transparently follow their shipping status and return products when necessary. Barcodes and radio-frequency identification (RFID) chips, which use electromagnetic fields to automatically identify and track tags that contain electronically stored information attached to products, help customers track orders, request replenishments and manage consignment stock.
 
Back-office improvements
 
Further, the 2017 BCG study suggests that MedTechs only have made limited progress in improving their back-office operations. Many manufacturers  have more employees in their back offices than they do in their customer-facing functions and fail to leverage economies of scale. There is a significant opportunity for MedTechs to employ digital strategies to enhance the management of their back-office functions, including centralizing certain activities that are currently conducted in multiple individual countries.
 
Takeaway
 
For the past decade MedTech manufactures have been slow to transform their strategies and business models and still have been commercially successful. Some MedTech companies are incorporating digital capabilities into their products by connecting them to the Internet of Things (IoT), which potentially facilitate continuous disease monitoring and management. Notwithstanding, such efforts tend to be isolated endeavours - “one-offs” - and are not fully integrated into companies’ main strategies. This could run the risk of MedTech executives kidding themselves that they are embracing digitization while underinvesting in digital technologies. The two BCG studies represent a significant warning since digitization is positioned to bring a step-change to the MedTech sector, which potentially could wound successful manufacturers if they do not change.
 
Post scriptum
 
CoVID-19 has forced MedTechs to temporarily digitize their sales and marketing strategies as doctors and hospitals have restricted physical access, but still many MedTech companies look forward to returning to their single rep-based go-to market strategy when the coronavirus crisis is over. The question MedTechs need to ask themselves is, “Do our customers think that digital means of receiving sales and marketing information are significantly more effective and therefore should become permanent?”.
 


#COVID19 #pandemic #coronavirus #MedTech #internetofthings #IoT
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  • Prime editing devised by researchers at the Broad Institute led by David Liu is a significant advance of the original CRISPR gene editing tool discovered in 2012
  • CRISPR can cut and edit your DNA to correct defects inside your body’s cells to prevent and heal a range of incurable diseases and has revolutionized biomedicine
  • The original CRISPR is fraught with inaccuracies referred to as off target effects
  • Prime editing substantially reduces CRISPR’s off target effects and has the potential to correct up to 89% of known disease-causing genetic variations
  • CRISPR also has the capacity to edit genes in an embryo in such a way that the change is heritable
  • In 2018 Chinese researcher He Jiankui “created” the world’s first CRISPR babies
  • This triggered international criticism from scientists and bioethicists
  • A principal concern is that CRISPR is easy-to-use, cheap, regularly used in thousands of laboratories throughout the world and there is no internationally agreed and enforceable regulatory framework for its use
 
For better or worse we all now live in CRISPR’s world
 
In 2012 the world of biomedicine changed when a revolutionary gene editing technology known as CRISPR-Cas9 (an acronym for Clustered Regularly Interspaced Short Palindromic Repeats) was discovered. The technology harnesses your body’s naturally occurring immune system that bacteria use to fight-off viruses and has the potential to forever change the fundamental nature of humanity. Since its discovery CRISPR has been developing at lightning speed primarily because it is simple and affordable and today is used in thousands of laboratories throughout the world.
 
In this Commentary
 
In this Commentary we describe prime editing, which is the latest advance of the CRISPR's tool box, devised bya team of researchers, led by Andrew Anzalone, a Jane Coffin Childs postdoctoral fellow from the Broad Institute of MIT and Harvard and published in the October 2019 edition of Nature. Prime editing is significant because it provides a means to eliminate the unintentional consequences of CRISPR and therefore bring the technique closer for use in clinics. But this is still a long way off.
 
We also review a case where an ambitious scientist “created” the first CRISPR babies. This immediately triggered international criticism and a call for tighter regulatory control of the technology. Scientists and bioethicists are concerned that CRISPR can easily be used to create heritable DNA changes, which ultimately could lead to ‘designer babies’.
 
These two accounts of CRISPR might seem “opposites” and not sit well together in a single Commentary. Notwithstanding, what prompted putting them together was John Travis, the News Managing Editor of the well-known scientific journal Science, who soon after CRISPR’s discovery in 2012  said, “For better or worse we all now live in CRISPR’s world”
 
CRISPR and your DNA

CRISPR is different to traditional gene therapy, which uses viruses to insert new genes into cells to try and treat diseases and has caused some safety challenges. CRISPR, which avoids the use of viruses, was conceived in 2007 when a yogurt company identified an unexpected defence mechanism that its bacteria used to fight off viruses. Subsequent research made a surprising observation that bacteria could remember viruses. CRISPR has been likened to a pair of microscopic scissors that can cut and edit your DNA to correct defects inside your body’s cells to prevent and heal a range of intractable diseases. The standard picture of DNA is a double helix, which looks similar to a ladder that has been twisted. The steps in this twisted ladder are DNA base pairs. The fundamental building blocks of DNA are the four bases adenine (A), cytosine (C), guanine (G) and thymine (T). They are commonly known by their respective letters, A, C, G and T. Three billion of these letters form the complete manual for building and maintaining  your body, but tiny errors can cause disease.  For example, a mutation that turned one specific A into a T results in the most common form of sickle cell disease.
 
The original CRISPR
 
The original CRISPR tool, which is the first and most popular gene editing system, uses a guide RNA (principally a messenger carrying instructions from your DNA for controlling the synthesis of proteins) to locate a mutated gene plus an enzyme, like Cas9, to cut the double-stranded gene helix and create space for functioning genes to be inserted. However, a concern about CRISPR is that the editing could go awry and cause unintended changes in DNA that could trigger health problems. Findings of a study published in the July 2018 edition of  the journal Nature Biotechnology found that such inaccuracies, referred to as off-target effects, were substantially higher than originally reported and some were thought to silence genes that should be active and activate genes that should be silent. These off-target effects, such as random insertions, deletions, translocations, or other base-to-base conversions, pose significant challenges for developing policy associated with the technology.

Subsequently however, the paper was retracted, and an error correction was posted on a scientific website. Contrary to their original findings, the authors of the Nature Biotechnology paper restated that the CRISPR-Cas9 gene editing approach, "can precisely edit the genome at the organismal level and may not introduce numerous, unintended, off-target mutations".

 
Base editing

Notwithstanding, researchers remained concerned about CRISPR’s off target effects and several devised a technique, referred to as base editing, to reduce these. Base editing is described in three research papers published in 2017: one in the November edition of the journalProtein and Cell’, another in the October edition ofSciencethe and a third by researchers from the Broad Institute, in the October edition of the journal Nature’. Base editing takes the original CRISPR-Cas9 and fuses it to proteins that can make four precise DNA changes: it can change the letters C-to-T, T-to-C, A-to-G and G-to-A. The technique genetically transforms base pairs at a target position in the genome of living cells with more than 50% efficiency and virtually no detectable off-target effects. Despite its success, there remained  other types of point mutations that scientists wanted to target for diseases.

 

Prime editing
 
Prime editing is different to previous gene editing systems in that it uses RNA to direct the insertion of new DNA sequences in human cells. According to David Liu,  the senior author of the 2019 Nature paper and a world renowned authority on genetics and next-generation therapeutics, “a major aspiration in the molecular life sciences is the ability to precisely make any change to the genome in any location. We think prime editing brings us closer to that goal”.  Because prime editing provides a means to be more precise and more efficient in editing human cells in a versatile way, which eliminates many of CRISPR’s unintentional errors, it significantly expands the scope of gene editing for biological and therapeutic research.
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There are around 75,000 different mutations that can cause disease in people and prime editing has the potential to correct up to 89% of known disease-causing genetic variations. According to Liu, "Prime editing is the beginning, rather than the end, of a long-standing aspiration in the molecular life-sciences to be able to make any DNA change in any position of a living cell or organism, including potentially human patients with genetic diseases". Liu’s team at the Broad Institute intends to continue optimizing prime editing. In their October 2019 Nature paper researchers reported that they can precisely correct mutant genes, which cause sickle cell anaemia and Tay Sachs disease.
 

Sickle cell anaemia and Tay Sachs
 
Sickle cell anaemia is an inherited form of anaemia. This is when there are not enough healthy red blood cells  (haemoglobin) to carry adequate oxygen throughout your body. The condition is the most common inherited blood disorder in the US, affecting 70,000 to 80,000 and further it is estimated  each year some 300,000 babies are born with the disorder worldwide. Tay-Sachs disease is a rare and fatal nerve condition often caused by the addition of four extra letters of code.  Although anyone can be a carrier of  the disease it is much more common among people of Ashkenazi (Eastern European) Jewish descent. In the Ashkenazi Jewish population, the disease incidence is about 1 in every 3,500 new-borns and the carrier frequency is 1 in every 29 individuals.

 
Some moral and ethical implications of CRISPR
 
Being able to modify your DNA with CRISPR tools has transformed scientific research and is revolutionising medicine although it will be some time before the technology is regularly used in clinics. In addition to its potential benefits there are significant moral and ethical challenges associated with the technology, especially when it is used for germline engineering, which is the process by which your genome is edited in such a way that the change is heritable. Inappropriate use of germline editing could dent the progress of the CRISPR technology.
 
The first CRISPR babies
 
One well publicized  inappropriate use of CRISPR is a team in China, led by He Jiankui of the Southern University of Science and Technology in Shenzhen, which in November 2018 “created” the first gene edited twins, known by their pseudonyms Lulu and Nana. He edited the twins’ cells to be immune to HIV infection when they were embryos, therefore ensuring that every cell in their bodies were changed, including their reproductive ones, which means their edited genomes can be passed on to their children and grandchildren, despite the fact that scientists cannot be sure what the long term effects of such lasting modifications might be. The twins are the first CRISPR babies and the first humans to have every cell in their body genetically modified using the technology.
 
In 2015 Chinese researchers were the first to edit the genes of a human embryo in a laboratory dish. Although the embryos did not go to term, the experiment triggered an international outcry from bioethicists, who argued that CRISPR should not be used to make babies. Notwithstanding, He Jiankui did just this.
 
He  employed CRISPR to alter a gene in IVF embryos to disable the production of an immune cell surface protein, CCR5, which HIV uses to establish an infection before insemination. CCR5 is a well-studied genetic mutation, and there is scientific and medical value in understanding how CRISPR can be used to disable and prevent HIV/AIDS. He believed that the use of CRISPR technology was medically appropriate and expected his experiment, “to produce an IVF baby naturally immunized against AIDS”. But more contentiously, He created twins who could pass the protective mutation to future generations. It is CRISPR’s ability to easily and cheaply edit human embryos, eggs, or sperm in order to create irrevocable changes and the potential for designer babies, which raises concerns.  
 
He defended his work at a Hong Kong genomics conference in late November 2018, but there was immediate and significant international criticism about the scientific and ethical legitimacy of his experiments, which broached China’s guidelines as well as international ethical and regulatory norms. A Chinese government investigation found He to have violated state law in pursuit of “personal fame and fortune”.  His endeavours cost him his university position and the leadership of a biotech company he founded, which had successfully raised US$43m start-up capital and was advised by Craig Melloprofessor  of the University of Massachusetts Medical School and Nobel Laureate for medicine in 2006 for his genetics research.
 
Opacity and scientific competition
 
Some scientists are reluctant to be critical of He and suggest his studies, which resulted in the first CRISPR babies,  simply signal the “next chapter in the technology’s story”. He Jiankui appears to be an ambitious scientist desperate to become the first to conduct the gene editing experiment on humans, but who made some significant errors of judgement by initiating his study prematurely and by withholding information from regulatory authorities and his university. A generous interpretation might suggest that He was motivated by science and humanity. Through a Beijing-based organization, which helps Chinese people with HIV, he recruited couples for his experiment where only the fathers were living with HIV infections, which they managed by antiviral drugs. Eight couples agreed to participate, although one subsequently withdrew.
 
Since He’s statement at the Hong Kong conference he has disappeared, but the background to his studies has been well documented. In late 2017, He, who specialized in sequencing DNA, began his efforts to produce human babies from gene edited embryos and before and during his study it is reported that he sought advice from international experts in the field and communicated openly with international colleagues about his plans. Notwithstanding, it is alleged that He faked a blood test for one of the fathers in the study, aware that in China the HIV status of the father would disqualify him from participating in fertility treatments. Also, He failed to appropriately inform the hospital where the twins were edited and implanted of the status of his experiments.

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Fierce competition among scientists is not uncommon and competition fuels opacity among scientists in their battle to become the first to make a discovery. Indeed, it is not uncommon for scientists to shield their ideas and research. This does not condone He’s actions, but it might help to explain them. Generally speaking, scientific opacity is not created by ambitious scientists alone, but it is partly created by scientific funding bodies and research institutions. Such opacity is a significant obstacle to open collaboration. In addition to wanting to be the first, He’s intentions might also have been an attempt to spare children of parents with HIV/AIDS  from inheriting the disease.
CRISPR is not yet safe
 
Be that as it may, many scientists agree that CRISPR is not yet safe and precise enough to be used in human embryos. In the March 2019 edition of Nature a group of 18 prominent CRISPR scientists and bioethicists from seven countries called for a global moratorium on heritable genome editing until the establishment of an international framework that would compel countries to establish both scientific safety and broad societal agreement before allowing the technology to progress.  "We call for a global moratorium on all clinical uses of human germline editing; that is, changing heritable DNA (in sperm, eggs or embryos) to make genetically modified children" , the scientists wrote.

Opposition to germline editing is mixed
 
However, opposition to germline editing is mixed. In February 2017 the US National Academies of Sciences, Engineering, and Medicine (NASEM) published a report, which did not call for an international ban of germline editing, but instead suggested that it "might be permitted" if strict criteria were met. In July 2018, the UK’s Nuffield Council of Bioethics published a report on heritable genome editing and suggested that under certain circumstances it could be morally permissible, even in cases of human enhancement. 

Given that CRISPR is cheap, easy-to-use and already an effective tool in thousands of laboratories throughout the world, it seems reasonable to assume that standards and laws are unlikely to prevent a determined scientist and desperate patients from using the technology prematurely. Indeed, science and medicine have a history of researchers attracting public criticism for undertaking experiments prematurely only to have those experiments become common medical practices: in-vitro fertilization  (IVF) is one such example. Although IVF has a chequered history today it accounts for millions of births worldwide and  1% to 3% of all births every year in the US and Europe.
 
Germline engineering and somatic genetic modification
 
Here we describe the difference between germline and somatic adjustments. The former uses CRISPR to modify DNA in such a way that the change is heritable. The latter uses CRISPR to modify the DNA of people with incurable diseases in a way that such modifications are limited to the people treated and not passed on to future generations. Broadly speaking, your body has two kinds of cells: somatic and germ cells. The vast majority are somatic. These cells make up your body and are responsible for forming all your familiar structures: such as your skin, blood, muscles and organs etc. Your somatic cells die when you die so there is no chance of them creating a new organism. However, germ cells are different. Early in your development your germ cells  are sequestered: they divide more slowly and under restricted circumstances. Germ cells cannot become a physical feature such as an ear or a finger, but they do make the only bits of you, which can form a new person: your eggs and your sperm. Every cell in your body holds your DNA in an unbroken lineage stretching back millions of years and thousands of generations, but only the germline has a chance to go forward. Human germline modification means deliberately changing the genes passed on to children and future generations and thereby creating genetically modified people. Somatic genetic modification is different. It adds, cuts, or changes the genes in some of your cells, typically to alleviate a medical condition. The use of human genome editing to make edits in somatic cells for purposes of treating genetically inherited diseases is already in clinical studies. If perfected, somatic gene editing (gene therapy) holds promise for helping people who are sick, affecting only an individual consenting patient. With the exception of He’s studies, human clinical studies with CRISPR have been limited to somatic cells. In effect, this renders CRISPR no more consequential than any other experimental drug or treatment. Any CRISPR-made somatic cell changes are a genetic dead-end and are not heritable. However, germline cells have the possibility of immortality, with the potential to affect thousands of people over the course of several generations. Tampering with germline cells is therefore a much more serious proposition.
 
Clinical studies of gene therapies
 
Gene therapy is primarily available in a research setting. The US Food and Drug Administration (FDA) has approved only a limited number of gene therapy products for sale in the US.According to the US National Institutes of Health, which serves as a clearinghouse for biomedical research worldwide, there are over 800 clinical studies currently underway to test gene therapy as a treatment for genetic conditions. The list includes a relatively small number of CRISPR studies as a treatment for cancers of the lung, bladder, cervix and prostate, the majority of which are in China where doctors appear to be leading the race to treat cancer by editing genes. For the past two decades China has been investing heavily in biomedicine. It is one way that China is able to compete with the West and demonstrate its technological prowess in the 21st century. Also, it is important for China to keep its vast population healthy in the 21st century. Given the somewhat ambiguous state of CRISPR technology it seems reasonable to assume that the first therapeutic applications of CRISPR will be in diseases where cells can be taken out of your body, edited, checked to ensure they are safe and then reintroduced. This suggests blood disorders such as sickle cell or thalassemia.
 
Takeaways
 
Bioethicist Henry T (Hank) Greely, professor at Stanford University, California, US, compares CRISPR to the Model T Ford, which was not the first automobile, but because of its simplicity of production, dependability and affordability it transformed society. CRISPR is not the first gene editing technology, but it is cheap and easy to use and is on the cusp of transforming biomedicine. A significant challenge is getting CRISPR tools, which are capable of performing gene edits, into the right place and to ensure they are safe. Prime editing is a smart, innovative and a substantial step forward in achieving this. Indeed, David Liu and his colleagues from the Broad Institute  have expanded the gene editing toolbox to facilitate ever-more precise editing ability and efficiency. Significantly, the overwhelming majority of human genetic disorders are due to the types of mutation that prime editing is able to correct, which stands the technique in good stead to be useful in therapies for intractable diseases. Notwithstanding, it is one thing to cut out sequences of DNA that cause genetic diseases and another to make genetic changes that are passed down to all later generations. Because CRISPR is cheap, easy-to-use, in the hands of scientists throughout the world, and already has been used to create babies with heritable traits, the technology provokes deep ethical and societal debate about what is, and what is not acceptable in efforts to prevent disease. Given that CRISPR has the potential to change the nature of humanity, it is incumbent on all citizens, not just scientists, bioethicists and regulators, to call for open and inclusive processes associated with all aspects of CRISPR.
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  • Over the past decade MedTech valuations  have outperformed the market without changing its business model
  • The healthcare ecosystem is rapidly changing and MedTech is facing significant headwinds which require change
  • MedTech’s future growth and value will be derived from data and smart analytics rather than manufacturing
  • MedTech leaders will be required to leverage both physical and digital assets

 

Increasing MedTech’s future growth and value
 
 
Over the past decade, the medical device (MedTech) industry has enjoyed relatively high valuations and outperformed broader market indices without changing its manufacturing business model. Some MedTech leaders suggest that because the industry’s product offerings are essential, demand for them is increasing as populations grow and age, so unlike other industries, MedTech is immune to market swings and its asset value will continue to increase. As a consequence of this mindset, MedTech has been reluctant to change and slow to develop digitization strategies. Notwithstanding, digitization is an in-coming tide and positioned to impose a step-change on the industry. Future MedTech leaders will need to derive increased growth and value from digitization and emerging markets while improving the efficiency of their legacy manufacturing business and meeting quarterly earnings’ targets.

According to a 2018 report by the consulting firm Ernst & Young,Stagnant R&D investment, low revenue growth and slow adoption of digital and data technologies suggest that entrenched MedTech companies are overly focused on short-term growth, even as the threat of large tech conglomerates entering the space grows larger, which, in addition to the changing global healthcare ecosystem, threatens future revenue growth".

 
In this Commentary
 
This Commentary suggests that to create future growth and value, MedTech will have to (i) leverage data generated by medical devices, patients, payers and healthcare providers to develop clinical insights and trend analysis, which are expected to significantly improve patient outcomes and reduce costs, and (ii) substantially increase its share of the large and rapidly growing emerging markets. We suggest that there is a significant relationship between MedTech’s digital capacity and competences and its ability to increase its share of emerging Asian markets. But first we briefly describe the MedTech industry and its traditional markets and draw attention to some concerns, which include the relative low rates of top-line growth, stagnant R&D and share buybacks, M&A slowdown, giant tech companies entering the healthcare market, and challenges to recruit and retain millennials with natural digital skills and abilities.
 

The medical device industry
 
The MedTech industry designs, manufactures and markets more than 0.5m different products to diagnose, monitor and treat patients. These include wearable devices such as insulin pumps and blood glucose monitors, implanted devices such as pacemakers and metal plates, and stationary devices that range from instruments to sophisticated scanning machines. Medical devices can be instrumental in helping healthcare providers achieve enhanced patient outcomes, reduced healthcare costs, improved efficiency and new ways of engaging and empowering patients. The principal business model employed by the industry is to manufacture innovative products relatively cheaply and sell them expensively in wealthy developed regions of the world; predominantly North America, Europe and Japan; which although representing only 13% of the world’s population account for 86% of the global MedTech market share. This premium pricing model is predicated upon doctors’ and health providers’ belief that MedTech products are of superior quality and safety. Notwithstanding, as eye-watering healthcare costs escalate, providers and regulators demand better evidence of clinical and economic value to justify the pricing and use of MedTech products.  Over the next five years, the global MedTech industry is expected to grow at a compound annual growth rate of between 4% and 5.6% and reach global sales of some US$595bn by 2024.
 
Concern # 1: Reduced growth rates
 
Since the worse post-war recession ended in 2009, MedTech asset valuations have outperformed the market. Notwithstanding, of increasing concern is the slowdown of the industry’s revenue growth rates to single digits. The industry's aggregate revenue grew to US$379bn in 2017, an annual average industry growth rate of 4%, which now appears to be the new normal, and is significantly lower than the average annual growth rate of 15%, which the industry enjoyed between 2000-2007. The reduction in top-line growth rates is largely attributed to the world’s growing and aging population and the consequent growth in the incidence rates of chronic conditions, which increases the burden on overstretched healthcare budgets and intensifies pressure on MedTech’s to reduce their prices.
 
Population growth and aging
 
The aging population is driven by improvements in life expectancy. People are living longer and reaching older ages as fertility decreases and quality healthcare increases. People are having fewer children later in life. Some 8.5% of the global population (617m) have ages 65 and over. This is projected to rise to nearly 17% by 2050 (1.6bn). The number of Americans aged 65 and older is projected to more than double from 46m today to over 98m by 2060 – from 15% to 24% of the total US population. Around 18% of the UK population were aged 65 years or over in 2017, compared with 16% in 2007. This is projected to grow to 21% by 2027.
 
 Concern # 2: Stagnate R&D spend and share buybacks
 
In addition to relatively low revenue growth rates, MedTech R&D spend has stagnated over the past decade despite the need for companies to develop new and innovative product offerings, which drive top-line sales. Over the same period, MedTech returned more cash to shareholders in the form of share buybacks and dividends (US$16.4bn) than it spent on R&D.

To the extent that share buybacks extract, rather than create value why are they popular? One suggestion is that because share incentive plans represent a significant portion of executive compensation, share buybacks make it easier for executives to meet earning-per-share (eps) targets by reducing the number of shares, in the 1970s, share buybacks were effectively banned in the US amid concerns that executives might use them to manipulate share prices. However, in 1982 the US Securities and Exchange Commission (SEC) lightened its definition of stock manipulation, and share buybacks became popular again.
 

 

Concern # 3: High asset values slow M&A activity

Over the past decade, as markets became more uncertain, monetary policy tightened, technologies advanced and global economic growth slowed MedTech’s, buoyed by the dramatic fall in the cost of capital, increased their mergers and acquisitions (M&A) activity. This optimised portfolios, increased scale, reduced competition and improved profits. Notwithstanding, MedTech’s current high asset valuations make M&A transactions challenging to underwrite, and so, M&A activity has slowed.
 

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Is the digital transformation of MedTech companies a choice or a necessity?
 
Concern # 4: Giant techs entering market
 
Giant technology companies such as Apple, Amazon, Google and Microsoft, have entered the healthcare market by providing direct-to-customer innovative services, which leverage data, artificial intelligence (AI) and machine learning and define new points of value along the value chain, which is changing the traditional notion of “product vendor. Such innovations and services result in raising the expectations of stakeholders who are beginning to insist that healthcare is as convenient and personalized as every other good or service they purchase. Notwithstanding, leveraging data generated by devices, patients, healthcare providers  and payers is challenging for traditional MedTech’s who tend to view IT as an isolated cost centre often constrained by legacy systems, aging infrastructures, complexity and skills’ shortages rather than as a key strategic asset.
 
It seems reasonable to assume that over the next five years MedTech’s will be forced to rethink their role as product manufactures and forced to find new and innovative ways to deliver value in a rapidly evolving healthcare ecosystem. Failure of MedTech’s to accelerate their digital agendas will benefit giant technology companies who have entered the market and well positioned to take advantage of the digital transformation of the 4th Industrial Revolution: characterized by the marriage of physical and digital technologies and an ability to change the nature of work to the extent where a significant proportion of future enterprise value will be predicated upon analytics, artificial intelligence and cognitive computing.

 
Concern # 5: The dearth of millennials
 
An obstacle for MedTech to develop digital strategies and keep up with the pace of innovation is its inability to recruit, develop and retain millennials. This is significant because millennials are “digital natives” and crucial to MedTech’s shift to increase their service offerings.  Millennials have been raised in a digital, media-saturated world and are well positioned to opine on and contribute to digital initiatives. Also, millennials have a natural ability to understand, adopt and implement new technologies, use digital platforms and analyse data, which enable them to make informed decisions.
 
Unlike most C-suite executives, millennials inhabit a world unconstrained by precedent, where processes are digitized, and tasks automated to create seamless offline-to-online experiences. It seems reasonable to assume that with a dearth of such capabilities MedTech will lag other industries in defining and developing positive online interactions. This is important because effective digital strategies involve significantly more than simply providing online customer services. They involve leveraging social media and evolving technologies to create memorable experiences from content to customer support.

Millennials have a distinct ethical orientation and “sense of purpose”, which makes them difficult for traditional MedTech’s to recruit and retain. According to a 2018 survey by Deloitte’s, millennials tend to be pessimistic about the prospects for political and social progress and have concerns about social equality, safety and environmental sustainability. While they believe that business should consider stakeholders’ interests as well as profits, millennials’ perception of employers tend to be that they prioritize the bottom line above workers, society and the environment. This leaves millennials with little sense of loyalty to traditional business enterprises and thereby difficult to recruit and retain. According to Larry Fink, CEO, Black Rock, “To prosper over time, every company must not only deliver financial performance, but also show how it makes a positive contribution to society. Companies must benefit all of their stakeholders, including shareholders, employees, customers and the communities in which they operate”.

Given MedTech’s dearth of expertise in digital skills, it might be obliged to develop dedicated teams and processes to source and execute value-added partnerships in a similar way big pharma has.
 

Smartphone penetration driving digitization strategies
 
Digital healthcare strategies are driven by the increased penetration of smartphones and the plummeting costs of wireless communications. Smartphones are powerful multipurpose devices capable of performing a number of tasks beyond their primary purpose of communication. These range from using the mobile’s SMS function to send alerts and reminders, to leveraging inbuilt mobile sensors or apps to capture and interpret clinical data.  Over the past decade, smartphones have fuelled the rapid uptake of internet access and transformed life for developed market consumers in terms of convenience and simplicity. In the US and UK smartphone penetration is about 84% and 80% respectively with the older age groups (55+) recording the highest growth. Smartphones have served an even more pivotal role for emerging market consumers by placing the internet into the hands of millions of consumers. In 2018, 98% of the global population had access to a mobile network with 75% having access to the fast 4th generation networks. Smartphones, together with other wireless technologies, (mHealth), are increasingly used in healthcare by patients, healthcare providers and payers, to improve health outcomes, increase efficiencies and reduce large and escalating healthcare costs. It is anticipated that by 2020, global smartphone subscriptions will be about 6bn and growing rapidly especially in emerging economies such as China, India, Egypt, Turkey, and the United Arab Emirates. In the past three years health apps have doubled and have reached over 140,000. The global mHealth market is expected to grow at a CAGR of 45% over the next six years and reach US$236bn by 2026.
 
 Concern # 6: Healthcare in emerging economies is predicated upon digital strategies
 
The relative high levels of healthcare demand and spending are expected to increase in emerging markets as populations grow, household spending rises and smartphone penetration increases. This is important to MedTech because emerging economies represent about 85% of the world’s population, 90% of which is under 30, and this cohort is expected to grow at three times the rate of the similar cohort in developed economies. Further, over the past decade, the number of high-income households have risen globally by about 30% to nearly 570m, with over 50% of this growth coming from emerging economies in Asia. Asia is comprised of 48 countries and represents roughly 60% of the global population, and its stake in world markets has grown dramatically in the last half-century. Today, Asian countries rank as some of the world’s top producers, which has brought them significant wealth.
 
According to Euromonitor International more than 50% of the world’s (3.6bn) internet users reside in Asia. Between 2013 and 2018, Asia accounted for 60% of new users coming online and the region has become an economic powerhouse, populated by young, digitally savvy consumers.  China is the largest mobile market in the world with close to 1.2bn subscribers. Significantly, in 2018, China’s rate of growth in mobile internet penetration reached 58% and the number of smartphone connections surpassed 1bn. Similarly, in India, the number of smartphone users is expected to double to 859m by 2022 from 468m in 2017; growing at a compound annual growth rate (CAGR) of 12.9% and expected to reach 859m by 2022.
 
Digitized services are replacing traditional distributors in China
 
Western MedTech operations in China have tended to replicate the Western commercial model, which relies heavily on distributor networks. But this is changing.
 
China has a land mass similar to that of the US and a population 1.4bn organised by 34 provincial administrative units, which are comprised of 23 provinces, four municipalities, five autonomous regions and two special administrative regions. Healthcare in China consists of both public and private medical institutions and insurance programs. About 95% of the population has at least basic health insurance coverage and is served by over 31,000 hospitals, primary care is patchy and there is a shortage of doctors.  Because of China’s large number of dispersed healthcare providers, traditional distribution models employed by western MedTech companies tend to be inefficient and costly.
 
In recent years, MedTech’s operating in China, supported by Beijing policy makers, have been gaining back control over customers from distributors. The reason for this is because, in the vast bureaucratic Chinese healthcare system, distributors evolved far beyond their core capabilities and controlled most commercial activities. For instance, the value Chinese distributors capture, as opposed to manufacturers, is disproportionately high and has led to restrictive policies. This has caught the attention of  policy makers who are seeking to correct these practices by promoting direct to customer digitized healthcare services. Beijing is minded that effective healthcare services for the nation’s vast and dispersed population cannot be achieved with traditional healthcare delivery models and has to be predicated upon appropriate digitized direct-to-customer operations. Similarly, this is true of other large emerging economies, particularly India.
 
The future is Asia and digitization
 
The reason we suggest that digitization is likely to help MedTech’s increase their market share in China is because digitization has become an essential part of everyday life in China including mobile payments, online-to-offline services, the sharing economy, smart retail, digital ID cards and healthcare services. WeDoctor and WeChat, are at the centre of this digitized society and only show signs of increasing their influence over Chinese healthcare and lifestyle.

WeDoctor is just one example of several Chinese start-ups that has leveraged data and digital strategies to re-engineer the nation’s healthcare system. Founded in 2010, the company has grown into a US$6bn enterprise and not only has increased access to healthcare, improved diagnoses, enhanced patient outcomes and lowered costs, but has disintermediated traditional distributors by simplifying and centralizing the procurement processes of medical devices.
 
It is sometimes hard for people based outside of China to grasp just how fully digitized Chinese society has become. WeChat, known in China as Weixin, is a multi-purpose messaging, social media and mobile payment app first released in 2011. By 2018 it had become one of the world's largest standalone mobile super-apps and controls life in modern China. For most Chinese citizens, especially those living in cities, it is possible to get through an entire day using WeChat for your every need. Millions of businesses have chosen to create mini-apps within WeChat instead of developing their own standalone apps. These allow businesses to send promotional messages directly to their customers via WeChat, as well as tap into the WeChat’s broader user base. With 1bn active monthly users, WeChat has reached the ceiling of its growth within China and its future will be about developing more services, which includes connecting people to businesses and products offerings.
 
Takeaways
 
Over the past decade, while the MedTech industry has increased its asset value, leaders focussed on, (i) short-term growth, (ii) portfolio optimization and (iii) returning cash to shareholders. Also, they allowed R&D to stagnate and were slow to appreciate the strategic significance of digitization. Data and smart analytics are positioned to play an increasing role in future MedTech growth and value creation. They are the key to creating new and innovative service offerings for healthcare providers, patients and payers and critical to MedTech increasing its share in large fast-growing emerging markets. Future  MedTech leaders will be required to leverage both physical and digital assets. Significantly, they will need to enhance the efficiency of legacy manufacturing systems while developing and marketing new innovative offerings derived from data and smart analytics.
 
Postscriptum
 
A concern not mentioned in the above discussion is ‘recession, which although mooted since the sharp fall in markets in December 2018 has not materialized. Indeed, the S&P 500 continues to rally, rising from 2,351 in 24th December 2018, to 3,026 in 26th July 2019. However, a reason for bullish US stock markets is low interest rates: the lower the interest rate, the higher the multiple the market applies to earnings. One indicator of recession is the J.P. Morgan Global Manufacturing Purchasing Managers’ Index (PMI), which has been declining since January 2018. In May 2019, it fell below 50, which is the number that suggests a recession has started. Another indicator of a recession is the yield curve, which is a chart showing the interest rate paid on bonds of different maturity. As a forecasting tool, the difference between long- and short-term interest rates has proved to be a reliable indicator of future recessions. Currently, the difference between the yield on the US 10-year bond and the US 3-month T-Bill is negative. This means the yield curve is inverted, which indicates recession. However, the yield curve is only an indicator of a recession and is neither definitive nor causal.
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  • People are living longer, the prevalence of age-related degenerative disc disease is increasing and sufferers are more and more turning to spinal implant surgery as a solution
  • As this significantly raises the burden on over-stretched healthcare systems, so is spine surgery increasingly becoming a key target for cost reduction within healthcare systems
  • This intensifies the pressure on manufacturers to innovate and make spinal implants more cost effective

Can 3D printing and the use of new alloys reduce the high costs of producing and marketing spinal implants?
 
On January 8th 2019 surgeons at Joseph Spinea specialist surgery centre based in Tampa Bay Florida, were the first in the US to implant a 3D printed interbody fusion device, which was produced  by Osseus Fusion SystemsThe company uses its proprietary 3D printing technology, also known as additive manufacturing,  to build spinal implants from titanium material that is optimized for bone fusion and biological fixation. In August 2018, a suite of Osseus’s devices received clearance from the US Food and Drug Administration (FDA) for a  range of heights and lordotic (inward spinal curvature) angles, which make them adaptable for a variety of patient anatomies. The interbody fusion devices work by being packed with biomaterials and bone grafts and inserted in between two vertebrae, where they fuse with the spine and work to prevent back pain.
 
In this Commentary
 
This Commentary explores whether 3D printing and the use of new alloys could be an appropriate strategy to help spine companies reduce  their production and sales costs and enhance their market positions. Our suggestions here complement a strategy, described in a previous Commentary, for MedTech companies to develop and implement digital strategies to enhance their go-to-market activities, strengthen the value propositions of products and services and streamline internal processes. The reasons spine companies might consider both strategies are because spinal implant markets, which are segmented  by type of surgery, product and geography, are experiencing significant competitive, regulatory, pricing and technological challenges as well as mounting consumer pressure for improved outcomes; and the business model, which served as an accelerator of their financial success over the past decade is unlikely to be effective over the next decade.
 
3D printing
3D printing is a process, which creates a three-dimensional (3D) object by building successive layers of raw material. Each new layer is attached to the previous one until the object is complete. In the healthcare industry, 3D printing is used in a wide range of applications, such as producing dental crowns and bridges; developing prototypes; and manufacturing surgical guides and hearing aid devices. Increasingly, 3D printing is being used for the production of spinal implants.

 
Spine surgery increasing significantly
 
An estimated US$90bn is spent each year in the US on the diagnosis and management of low back pain (LBP). LBP, caused by age related degenerative disc disease, is one of the most common and widespread public health challenges facing the industrialized world. It is estimated that the condition affects over 80% of the global population and inflicts a heavy and escalating burden on healthcare systems. Also, LBP affects  economies more generally in terms of lost production due to absenteeism, early retirement and the psychosocial impact caused by the withdrawal of otherwise active people from their daily activities. According to the American Association of Neurological Surgeons, more than 65m Americans suffer from LBP annually and the Chicago Institute of Neurosurgery and Neuroresearch suggests that by the age of fifty, 85% of the US population is likely to show evidence of disc degeneration. It is estimated that 10% of all cases of LBP will develop chronic back pain, which is one of the main reasons for people to seek surgical solutions and this significantly raises the burden on over-stretched healthcare systems.
 
Findings of a study published in the March 2019 edition of Spine, entitled, “Trends in Lumbar Fusion Procedure Rates and Associated Hospital Costs for Degenerative Spinal Diseases in the United States 2004 to 2015”, report that the rate of elective lumbar fusion surgeries in the US has increased substantially over the past decade. Such trends are indicative of most advanced industrial societies, which  are changing and ageing, primarily driven by improvements in life expectancy and by a decrease in fertility. This results in people living longer, reaching older ages and having fewer children later in life. Over the next decade, these market drivers are expected to make spine surgery a key target for cost reduction within healthcare systems and this, in turn, is likely to increase pressure on manufacturers of spinal implants to make spine surgery more cost effective.

 

The first surgery using a 3D printed spinal implant
 
The first surgery to implant a 3D printed interbody fusion device was carried out in China in August 2014, when surgeon Liu Zhongjun from Peking University Hospital successfully implanted an artificial 3D printed vertebra into a 12-year-old bone cancer patient to help him walk again. Liu first removed a tumour located in the second vertebra of the boy's neck before replacing it with the 3D printed implant between the first and third vertebrae to allow him to lift his head. “The customized 3D printed technology made the disc replacement stronger and more convenient than normal procedures”, said Liu.

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Age of the aged and low back pain
 
In July 2017, a team of doctors, led by Xiao Jianru, Professor of Orthopaedic Surgery at Shanghai Changzheng Hospital, China, treated a 28-year-old woman with a massive, rare neck tumour, by giving her a 3D printed spine. The patient had to have six consecutive cervical vertebrae replaced because they had been affected by the cancer, which was challenging to treat with chemotherapy. Cervical vertebrae, seven in total, which form your spine column in the neck are the most delicate bones in your body. The patient was discharged from the hospital after the operation. Reports suggest that she was able to walk, but had some difficulties turning her head.
 
First US company to receive FDA approval for 3D printed spinal implants
 
The first US  company to receive a 510(k) FDA approval for a 3D printed spinal implant was 4WEB Medical, in 2012. The company was founded in 2008 and since then has become a leader in 3D printed implant technology. Following FDA clearance, the company launched its proprietary and patented Truss Implant platform, which features a unique open architecture that allows for up to 75% of the implant to be filled with graft material and includes an anterior spine Truss System, a cervical spine Truss System, an osteotomy Truss System and a posterior spine Truss System. In April 2018,  at the annual meeting of the International Society for the Advancement of Spine Surgery (ISASS) 4Web announced that it has surpassed 30,000 implants worldwide of its proprietary Truss Implant Technology.
 
There is a plethora of established MedTech companies entering the 3D printing spinal implant market, which include Stryker, K2M, DePuy Synthes, Camber Spine, CoreLink, Medicrea, Renovis, NuVasive and Zimmer Biomet. With Stryker’s acquisition of K2M and DePuy Synthes’ acquisition of Emerging Implant Technologies GmbH (EIT), both in September 2018, the market for 3D printed spinal implants is positioned to grow rapidly over the next few years.
 
Increasing FDA approvals for 3D printed spinal implants
 
Significantly, spinal implants have become one of the most common cases of the FDA-cleared 3D printed medical devices. For instance, in 2018 Zimmer Biomet received FDA clearance for the company’s first 3D printed titanium spinal implantEIT received FDA approval in 2018 for its 3D printed multilevel cervical cage, which can treat multiple injuries in both the middle and top parts of the spine. Centinel Spine Inc, a US company based in Pennsylvania, which develops, manufactures and markets spinal devices used to treat degenerative disc disease, also received FDA clearance in 2018 for its 3D printed spinal implants called FLX devices, which are titanium fusion implants that work to stabilize vertebrae from the front of the spine in order to increase the healing process for patients.

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MedTech must digitize to remain relevant

 
3D printing medical devices market
 
The 3D printing medical devices market is projected to grow at a CAGR of 17.5% and reach US$2bn by 2022. Currently, the market is dominated by North America, followed by Europe, Asia Pacific and the rest of the world. Over the next decade, the Asia Pacific 3D printing medical devices market is expected to grow at the highest CAGR. Emerging markets are attractive for spine companies as they have large patient populations, which are growing fast, rising government healthcare expenditure, vast and rapidly increasing middle classes, rising income levels and rising obesity cases.
One example is India, with a middle class about twice the size of the US population, an economy growing at a rate of 7% year-on-year and a pro-business Prime Minister who has established himself as the country’s most formidable politician in decades and is committed to increasing healthcare spending. According to the World Bank’s March 2018 India Development Update the GDP of India had surpassed that of France and was on track to overtake the UK economy to make India the 5th largest economy in the world. Significantly, India’s GDP per capita has reached US$2,000, which is generally recognised by economists as a “tipping point”: when a country’s economic prospects improve, peoples’ confidence increases, and investment momentum remains at a desirable level for a long period. For instance, when the GDP per capita of China and South Korea reached US$2,000 their respective economies witnessed more than a decade of high growth with an average growth rate of about 10%. India appears to be on the cusp of something similar.
 
3D printing's competitive advantages
 
3D printing, although in its infancy, has the capacity to manufacture products of any complexity anywhere, at any time, which gives it a significant competitive-advantage over traditional manufacturing. Further, 3D printing is cheaper and quicker than traditional production methods because there is less machine, material, labour and inventory costs and less materials' waste. Complex designs can be created as a computer added design (CAD) model and then transformed into a reality in just a few hours. By contrast, traditional manufacturing methods can take weeks or even months to go from the design stage to a prototype and then onto the production process. Also, 3D printing is cost-effective in low production quantities and more environmentally friendly as the place of manufacture can be the same as the place of the product’s application.

The benefits of 3D printing specifically for spinal surgery include; (i) implants can be shaped to custom-fit patients, (ii) porosity and pore size can be personalized to a specific patient’s bone quality, which may improve integration. But perhaps the most significant potential advantage is bioprinting, where cells, growth factors and biomaterials are used to create living tissue.

 
Thinking beyond traditional metals used for spinal implants
 
Some spine companies are complementing their 3D printing endeavours by experimenting with new and stronger alloys. For the past two decades metals used for spinal implants have been mostly composed of cobalt chrome, titanium and stainless steel. The physical properties of these have prevented producers to reduce the size of spinal implants. But this is changing with the introduction of new alloys such as molybdenum-rhenium (MoRe), which is stronger than the traditional metals used for spine implants and has the potential to use less metal to achieve stronger, more durable constructs, while allowing for smaller sized products.

Already, MoRe is used for stents in cardiology and findings of a small animal study presented at the 2018 North American Spine Society meeting in Los Angeles suggested that MoRe is significantly more hydrophilic (having strong affinity to water) and therefore friendlier to bone when compared with cobalt chrome, titanium and stainless steel. This suggests MoRe might provide smaller rods with smaller pedicle screw heads, which decrease the prevalence of protruding, painful hardware in patients with wasting of the body due to severe chronic illness. Further, smaller spinal implants would be beneficial in minimally invasive spine surgery.

Another added benefit of MoRe is that it potentially decreases biofilm formations, which are typically caused by chronic medical device-related infections and allergenicity when compared to the traditional metals used in spine surgery. Bacteria are tougher to kill when they attach to the surface of a spinal implant, even before they form a biofilm. Research findings published in the December 2018 edition of Heliyon draws attention to the prevalence of the  antibiotic-resistant nature of bacterial biofilm infections on implantable medical devices and describes current state-of-the-art therapeutic approaches for preventing and treating biofilms. As the range of materials for spinal implants with improved biocompatibility, biodegradability and load bearing properties increase, so are biofilm infections expected to decrease.

 
Takeaways
 
Spine surgery is positioned to become a key target for cost reduction within healthcare systems over the next decade. This is because low back pain, caused by age related degenerative disc disease, is a common condition affecting most individuals at some point in their lives and increasingly people are turning to surgical solutions. As a consequence, we can expect increased pressure on stakeholders, including spinal implant manufacturers, to innovate to make spine surgery more cost effective. 3D printing and the use of new alloys, while in their infancy, are possible strategies to reduce the costs of producing spinal implants while improving patient outcomes.
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  • Two Boston Consulting Group studies say MedTech innovation productivity is in decline
  • A history of strong growth and healthy margins render MedTechs slow to change their outdated business model
  • The MedTech sector is rapidly shifting from production to solutions
  • The dynamics of MedTechs' customer supply chain is changing significantly and MedTech manufacturers are no longer in control
  • Consolidation among buyers - hospitals and group purchasing organisations (GPO) - adds downward pressure on prices
  • Independent distributors have assumed marketing, customer support and education roles
  • GPOs have raised their fees and are struggling to change their model based on aggregate volume
  • Digitally savvy new entrants are reinventing how healthcare providers and suppliers work together
  • Amazon’s B2B Health Services is positioned to disrupt MedTechs, GPOs and distributors 
  • MedTech manufacturers need to enhance their digitization strategies to remain relevant
 
MedTech must digitize to remain relevant
 
MedTech companies need to accelerate their digital strategies and integrate digital solutions into their principal business plans if they are to maintain and enhance their position in an increasingly solution orientated healthcare ecosystem. With growing focus on healthcare value and outcomes and continued cost pressures, MedTechs need to get the most from their current portfolios to drive profitability. An area where significant improvements might be made in the short term is in MedTechs' customer facing supply chains. To achieve this, manufacturing companies need to make digitization and advanced analytics a central plank of their strategies.
 
In this Commentary
 
This Commentary describes the necessity for MedTechs to enhance their digitization strategies, which are increasingly relevant, as MedTech companies shift from production to solution orientated entities. In a previous Commentary we argued that MedTechs history of strong growth and healthy margins make them slow to change and implement digital strategies. Here we suggest that the business model, which served to accelerate MedTechs' financial success over the past decade is becoming less effective and device manufacturers need not only to generate value from the sale of their product offerings, but also from data their devices produce so they can create high quality affordable healthcare solutions. This we argue will require MedTechs developing  innovative strategies associated with significantly increasing their use of digital technology to enhance go-to-market activities, strengthen value propositions of products and services and streamline internal processes.
 
MedTechs operate with an outdated commercial model
 
Our discussion of digitization draws on two international benchmarking studies undertaken by the Boston Consulting Group (BCG). The first,  published in July 2013 and entitled, “Fixing the MedTech Commercial  Model: Still Deploying ‘Milkmen’ in a Megastore World” suggests that the high gross margins that MedTech companies enjoy, particularly in the US, hide unsustainable high costs and underdeveloped commercial skills. According to BCG the average MedTech company’s selling, general and administrative (SG&A) expenses - measured as a percentage of the cost of goods sold -  is 3.5 times higher than the average comparable technology company. The study concludes that MedTechs' outdated business model, dubbed the “milkman”, will have to change for companies to survive. 
 
BCG’s follow-up 2017 study
 
In 2017 BCG published a follow-up study entitled, “Moving Beyond the ‘Milkman’ Model in MedTech”, which surveyed some 6,000 employees and benchmarked financial and organizational data from 100 MedTech companies worldwide, including nine of the 10 largest companies in the sector. The study suggested that although there continued to be downward pressure on device prices, changes in buying processes and shrinking gross margins, few MedTech companies “have taken the bold moves required to create a leaner commercial model”.
 
According to the BCG’s 2017 study, “Overall, innovation productivity [in the MedTech sector] is in decline. In some product categories, low-cost competitors - including those from emerging markets - have grown rapidly and taken market share from established competitors. At the same time, purchasers are becoming more insistent on real-world evidence that premium medical devices create value by improving patient outcomes and reducing the total costs of care”. The growth and spread of value-based healthcare has shifted the basis of competition beyond products, “toward more comprehensive value propositions and solutions that address the entire patient pathway”. In this environment, MedTechs have no choice but to use data to deliver improved outcomes and a better customer experience for patients, healthcare providers and payers.
 
MedTech distributors increasing their market power and influence
 
Although supply chain costs tend to be MedTechs' second-highest expense after labour, companies  have been reluctant to employ digital strategies to reduce expenses and increase efficiencies. As a consequence, their customer supply chains tend to be labour intensive relationship driven with little effective sharing of data between different territories and sales teams. Customer relations are disaggregated with only modest attention paid to patients and payors and insufficient emphasis on systematically collecting, storing and analysing  data to support value outcomes.   
As MedTech manufacturers have been slow to develop strong and effective data strategies, so MedTech distributors have increased their bargaining power through M&As and internationalisation. Some distributors have even assumed marketing, customer support and education roles, while others have launched their own brands. MedTechs' response to these changes has been to increase their direct sales representatives. However, consolidation among buyers - hospitals and GPOs -  and the extra downward pressure this puts on prices, is likely to make it increasingly costly for MedTechs to sustain large permanent sales forces. 

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Advantages of distributors but no way to accurately measure sales performance

Notwithstanding, the distributor model is still common with MedTechs and has been successful in many markets for a long time. Independent distributors are often used when producers have small product portfolios. In smaller markets, distributors are employed primarily to gain economies of scale as they can combine portfolios of multiple companies to create a critical mass opportunity and  obtain better and faster access to markets.
 
MedTechs have a history of investing in sales force effectiveness (SFE) typically to increase the productivity of sales representatives. Sales leaders have some indication that this pays-off through incremental revenue growth and profits, but they struggle to assess the true performance of such investments not least because SFE includes a broad range of activities and also it is almost impossible to obtain comparative competitor data.
 
Changing nature of GPOs
 
GPOs also have changed. Originally, they were designed in the early 20th century to bring value to hospitals and healthcare systems by aggregating demand and negotiating lower prices among suppliers. Recently however they have raised their fees, invested in data repositories and analytics and have been driving their models and market position beyond contracting to more holistic management of the supply chain dynamics. Notwithstanding, many GPOs are struggling to change their model based on aggregate volume and are losing purchasing volume amid increasing competition and shifting preferences.
 
New entrants
The changing nature of MedTechs' customer supply chain and purchasers increasingly becoming concerned about inflated GPOs' prices have provided an opportunity for data savvy new entrants such as OpenMarketsThe companyprovides healthcare supply chain software that stabilizes the equipment valuation and cost reduction and aims to reinvent how healthcare providers and suppliers work together to improve the way healthcare equipment is bought and sold. OpenMarkets’ enhanced data management systems allow providers to better understand what they need to buy and when. The company represents over 4,000 healthcare facilities and more that 125 equipment suppliers; and provides a platform for over 32,000 products, which on average sell for about 12% less than comparable offerings. In addition, OpenMarkets promotes cost efficiency and price transparency as well as stronger collaboration between providers and suppliers.
 
Amazon’s B2B Health Services
 
But potentially the biggest threat to MedTech manufacturers, GPOs and distributors  is Amazon’s B2B Health Services, which is putting even more pressure on MedTechs to rethink their traditional business models and to work differently with healthcare providers and consumers. With a supply chain in place, a history of disrupting established sectors from publishing to food and a US$966bn market cap, Amazon is well positioned to disrupt healthcare supply chain practices, including contracting. In its first year Amazon’s B2B purchasing venture generated more than US$1bn and introduced three business verticals: healthcare, education and government. Already, hundreds of thousands of medical products are available on Amazon Business, from hand sanitizers to biopsy forceps. According to Chris Holt, Amazon’s B2B Health Services program leader, “there is a needed shift from an old, inefficient supply chain model that runs on physical contracts with distributors and manufacturers to Amazon's marketplace model”.

If you look at the way a hospital system or a medical device company cuts purchase orders, identifies suppliers, shops for products, or negotiates terms and conditions, much of that has been constrained by what their information systems can do. I think that has really boxed in the way that companies’ function. Modern business and the millennials coming into the workplace, can’t operate in the old way,” says Holt.

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Millennials are used to going to Amazon and quickly finding anything they need; even the most obscure items. According to Holt, “A real example is somebody who wants to find peanut butter that is gluten-free, non-GMO, organic, crunchy and in a certain size. And they want to find it in three to five clicks. That’s the mentality of millennial buyers at home, and they want to be able to do the same things at work. . . . The shift from offline traditional methods to online purchasing is very significant. It is our belief that the online channel is going to be the primary marketplace for even the most premium of medical devices in the future. That trend is already proven by data. So, we’ve created a dedicated team within Amazon Business to enable medical product suppliers to be visible and participate in that channel.
MedTechs fight back
 
According to the two BCG reports, MedTech companies can fight back by using digital technologies to strengthen and improve their go-to-market activities. This, according to BCG, would enhance MedTechs' connectivity with their customers and help them to learn more about their needs. Indeed, employing digitization to improve customer-facing activities could help standardise order, payment and after-sales service behaviour by defining and standardizing terms and conditions. This could provide the basis to help MedTechs increase their access to a range of customers - clinicians, institutions, insurers and patients - and assist them to tailor their engagements to the personal preferences of providers and purchasers. This could provide customers with access to product and service information at anytime, anywhere and could form the basis to implement broader digitalized distribution management improvements, which focus on value-based affordable healthcare in the face of escalating healthcare costs and variable patient outcomes.
 
Predictive models
 
Many companies use predictive-modelling tools to forecast demand and geo-analytics to speed delivery and reduce inventories. Online platforms provide customers with an easy way to order products and services, transparently follow their shipping status and return products when necessary. Barcodes and radio-frequency identification (RFID) chips, which use electromagnetic fields to automatically identify and track tags that contain electronically stored information attached to products, help customers track orders, request replenishments and manage consignment stock.
 
Back-office improvements
 
Further, the 2017 BCG study suggests that MedTechs only have made limited progress in improving their back-office operations. Many manufacturers  have more employees in their back offices than they do in their customer-facing functions and fail to leverage economies of scale. There is a significant opportunity for MedTechs to employ digital strategies to enhance the management of their back-office functions, including centralizing certain activities that are currently conducted in multiple individual countries.
 
Takeaway
 
For the past decade MedTech manufactures have been slow to transform their strategies and business models and still have been commercially successful. Some MedTech companies are incorporating digital capabilities into their products by connecting them to the Internet of Things (IoT), which potentially facilitate continuous disease monitoring and management. Notwithstanding, such efforts tend to be isolated endeavours - “one-offs” - and are not fully integrated into companies’ main strategies. This could run the risk of MedTech executives kidding themselves that they are embracing digitization while underinvesting in digital technologies. The two BCG studies represent a significant warning since digitization is positioned to bring a step-change to the MedTech sector, which potentially could wound successful manufacturers if they do not change.
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Will China become a world leader in health life sciences and usurp the US?
 
After World War II, the US captured the global lead from Europe in life sciences thanks to the large American domestic market, its strong network of university research laboratories, competent regulation, effective pricing regimens and generous federal R&D funding.
 
America’s leadership in life sciences is slipping
 
Over the past two decades, as China has systematically upgraded its economy from low-grade to high-grade production, it has come to realize the significance of the health life sciences and Beijing has become determined to win a larger share of the industry’s activity. During this time America’s leadership position in the life sciences industry has slipped.
 
  • Will China usurp the US and become a world leader in health life sciences?
  • What could the erosion of the life sciences industry mean for the US economy?
  • What can American life sciences corporations do to reduce or slow their market slippage?
 
Health life sciences
 
Health life sciences refers to the application of biology and technology to improve healthcare. It includes biopharmaceuticals, medical technology, genomics, diagnostics and digital health and is one of the future growth industries positioned to radically change the delivery of healthcare, substantially reduce the morbidity and mortality of a range of chronic and incurable diseases and save healthcare systems billions. The life sciences industry plays a key role in supporting the economies of the US and China as well as other nations and helps them to compete internationally. The sector requires a complex ecosystem, which integrates high-tech research, large, long-term investments of capital in the face of significant technological, market and regulatory risks, skilled labour, specific manufacturing skills, intellectual property (IP) protection and policy support. According to a 2019 Deloitte’s report on health life sciences the global market size of the industry is projected to grow from US$7.7trn in 2017 to US$10trn by 2022.
 
Reason’s for America’s slippage
 
America’s slippage in its life sciences industry is due to:
  • Increased fair competition from a number of nations, including the UK, and increased unfair competition from China who aggressively steals US IP to piggyback on American life-sciences innovations in order to benefit from enhanced therapies without having to pay their fair share for the costly R&D. China then uses its government’s monopsony power as a purchaser of life sciences offerings to limit the prices of US and other international firms
  • Recent US Administrations’ lukewarm support for the industry. Federal biomedical research funding has been cut in real terms. Reimbursement policies are changing to a value-based approach and pricing policies have tightened. Such policies create uncertainty regarding the government’s willingness to pay for future treatments and the research necessary to discover and bring them to market. The US is also falling behind in providing innovative tax incentives for the industry
  • American life sciences corporations’ reluctance and inability to adapt their strategies and business models to changing international markets.
 
Permanent economic damage
 
The Chinese competitive threat is real and significant. It is important for the US to maintain a competitive life-sciences sector since it generates high-skilled, high-paying jobs and its product offerings are sold throughout the world and the industry is a key component of the US traded economy. A weaker American competitive position in the life sciences could mean a lower value for the dollar, a larger trade deficit, plant closures and job losses. China and other nations, which are gaining global market share at the expense of the US, could cause significant damage to the American life-sciences industry.
 
Creating a health life sciences industry is challenging enough, recreating one after it has lost significant market share is even more challenging, if not impossible. We suggest that to reduce to possibility of this happening US life sciences corporations might consider changing the mindsets of their leaders and demonstrate a greater willingness to learn from and engage with Chinese start-ups, especially those in adjacent industries with AI and machine learning capabilities and experience. The cost of doing this will be to give up some IP, which might be worth doing given the potential financial benefits from such a strategy.

 
A “bullish” American perspective
 
The generally accepted Western perspective is that the US excels at visionary research and moon-shot projects and will always be the incubator for big ideas. The reasons for this include: (i) American education is open, encourages individuality and rewards curiosity and its universities have consistently produced vast numbers of innovative discoveries in the life sciences, (ii) American scientists have been awarded the majority of Nobel prizes in physiology/medicine, physics and chemistry, and (iii)  America is the richest nation in the world. This suggests that there are no apparent reasons why the US should not continue as a world leader in health life sciences.

By contrast, China has stolen and copied America’s intellectual property (IP) for years and is a smaller economy fraught with politico-economic challenges. Although China’s economic growth has lifted hundreds of millions of people out of poverty, China remains a developing country with significant numbers of people still living below the nation’s official poverty level. Beijing has challenges balancing population growth with the country’s natural resources, growing income inequality and a substantial rise in pollution throughout the country. Further, China’s educational system is conformists and not geared to producing scientists known for making breakthrough discoveries. This is borne-out by the fact that China only has been awarded two Nobel prizes for the sciences: one for physiology and medicine in 2015 and another for physics in 2009.

 
Copiers rather than inventors
 
Over the past four decades Chinese scientists, with the tacit support of Beijing, have aggressively and unethically stolen Western technologies and scientific knowhow. According to findings of a 2017 research report from the US Intellectual Property (IP) Commission entitled The Theft of American Intellectual Propertythe magnitude of "Chinese theft of American IP currently costs between US$225bn and US$600bn annually."

America’s response to China’s IP theft has been to adopt the moral high-ground, dismiss China as an unscrupulous nation not worthy of investment and focus on commercialising its discoveries with “single bullet” product offerings and marketing them in wealthy regions of the world, predominantly North America, Europe and Japan. Over the past decade, this strategy has been supported by a US Bull market in equities, which started in 2009, outpaced economic growth in most developed nations and led to a significant degree of satisfaction among C-suites and boards of directors of US life sciences corporations, which did not perceive any need to adjust their strategies and business models despite some market slippage and changing market conditions.

 
Confucian values support conformism rather than discovery
 
Although China has benefitted economically from the theft of American IP, the American view tends to be that China is unlikely to become a world leader in the life sciences because the nation has not produced a cadre of innovative scientists and its education system is unlikely to do so in the near to medium term. Chinese education encourages students to follow rather than to question. Indeed, Confucian values remain a significant influence on Chinese education and play an important role in forming the Chinese character, behaviour and way of living. Confucianism aims to create harmony through adherence to three core values: (i) filial piety and respect for your parents and elders, (ii)  humaneness, the care and concern for other human beings, and (iii) respect for ritual. According to Confucian principles, “a good scholar will make an official”. Thus, some of China’s best scientists leave their laboratories for administrative positions.
 
Further, Chinese universities tend to bind students to their professors who expect unquestioning loyalty. Scepticism towards generally accepted scientific theories is discouraged, especially when they are held by senior academics. Also, China unlike the US, does not tolerate “failure”, and this incentivises Chinese scientists to conduct “safe” research that yields quick and “achievable” outcomes. All these factors conspire to discourage high risk creative scientific activity and encourages safer, “copycat” research endeavours.
 
The strength of the US$ and the US economy
 
America’s global leadership in the life sciences is supported by the fact that the US is the world’s richest and most powerful nation. In nominal terms (i.e., without adjustment for local purchasing power) the US and China have GDPs of US$19trn and US$12trn respectively and  populations of 326m and 1.4bn. Further, the US has an “unrivalled” global trading position: the US dollar is the strongest currency in the world and dominates the overwhelming percentage of all international trade settlements: 70% of all world trade transactions are in US$, 20% in €’s and the rest in Asian currencies, particularly the Japanese ¥ and increasingly the Chinese ¥. Also, US dollar holdings make up the largest share of foreign exchange reserves and the effect of this is to maintain the high value of the US$ compared with other currencies and provide US corporations with significant profits, US citizens with cheap imports and the US government with the ability to refinance its debts at low interest rates.
 
An Asian context
 
We suggest that it is increasingly important for American health life science professionals to get a better understanding of China and Asia. The Asian perspective described here is drawn from three recent books: The New Silk Roads: The Present and Future of the World by Peter Frankopan, The Future is Asian by Parag Khanna and AI Super-Powers: China, Silicon Valley and the New World Order published in late 2018 by Kai-Fu Lee.  

Crudely put: the 19th century was British, the 20th century American and the 21st century is expected to be Asian. The era of breakthrough scientific discoveries and stealing American IP is over, and we have entered an “age of implementation”, which favours tenacious market driven Chinese firms. “Asians will determine their own future; and as they collectively assert their interests around the world, they will determine ours as well”, says Khanna. This is starkly different to American prognosticators who assume that the world will be made in the American image, sharing American values and economics.
Asian view of the US$

Some observers suggest that there are chips appearing in the giant US edifice of international trade described above. The current US Administration’s policies have triggered and intensified discussions in Europe and Asia about America’s dominant global economic position and suggest that the US$ might be starting to weaken against a basket of currencies as China, Russia, Iran, Turkey and other nations, choose to use local currencies for some international trade transactions, which they then convert into gold. Further, central banks are tightening their monetary policies and adjusting their bond purchasing strategies. A common US view is that such trading activities are so small relative to global US$ transactions they will neither weaken the US$ nor dent America’s pre-eminent global trading position.
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Notwithstanding, replacing the US$ with the Chinese ¥ seems to be part of Beijing’s long-term strategy, as Beijing encourages its trading partners to accept the ¥ as payment for Chinese exports. China’s recent trading agreements with Canada and Qatar for instance have been based upon local currencies rather than the US$. China, which is the biggest importer of oil, is preparing to launch a crude oil futures contract denominated in Chinese ¥ and convertible into gold. European, Asian and Middle Eastern countries have embarked on domestic programs to exclude the US$ from international trade transactions. Also, oil exporting countries are increasingly able to choose which currencies they wish to trade in. At the same time, oil-producing countries no longer seem so interested in turning their revenues into “petrodollars. For the past decade, President Putin of Russia has been calling for the international community to re-evaluate the US$ as the international reserve currency. All this and more suggests that increasingly, emerging economies may transition from their undivided dependence on the US$ for international trade settlement to a multipolar monetary arrangement. Whilst small relative to the full extent of global trade, it is instructive to view these changes within a broader Asian context.
 
The US has had little exposure to China and Asia
 
One outcome of America’s pre-eminent global economic position and the financial success of American life sciences companies is that corporate leaders and health professionals tend to have little or no in-depth exposure to Chinese and Asian culture and markets. For example, few Fortune 500 senior executives have worked in China; few American life sciences corporations have sought in-depth briefings of Asian markets and few US students and scientists have studied or carried out research in China. Instead, American life science corporate leaders tend to be US-centric; they condemn China for its IP theft and recommend not to invest in China because a condition of doing so is that you are obliged to part with some of your IP.
 
Asia a potential economic powerhouse
 
This distancing has resulted in life science professionals “misdiagnosing” China in a number of ways, which we will discuss. One misdiagnosis is to conflate China with Asia. Asia is comprised of 48 countries. East Asia includes China, Japan and North and South Korea. South Asia includes India, Pakistan and Bangladesh. South East Asia includes Indonesia, Malaysia, Philippines, Singapore and Thailand. These three sub-regions link 5bn people through trade, finance, infrastructure and diplomatic networks, which together represent 40% of the world’s GDP. China has taken a lead in building new infrastructure across Asia - the new Silk Roads - but will not necessarily lead this vast region alone. Rather, as Khanna reminds us, “Asia is rapidly returning to the centuries-old patterns of commercial and cultural exchanges, which thrived long before European colonialism and American dominance”.
 
The difference between IP theft and imitating ‘what works

Market driven Chinese start-ups, supported by the government, are expected to transform China into a world leader in health life sciences by 2030. The thing to understand about China is that it is not just a few start-ups that steal and copy American IP but thousands, which then aggressively compete. This entails cutting prices, improving and adapting their product offerings, developing leaner operations and aligning their strategies and business models to the demands of different markets. The vast scale of this activity has led to a unique cadre of über agile Chinese entrepreneurs, who imitate successful business models and then engage in value added culture-specific product development processes. This has led to Chinese companies becoming exemplary “market driven” implementors. By contrast American companies tend to be “mission driven” and operate a “single bullet” business model and are either slow or reluctant to adapt to the demands of different markets. This results in US discoveries being exploited in Asia by Chinese rather than American companies. We suggest that there are significant benefits to be derived from American life sciences companies developing joint ventures with market driven Chinese start-ups even if it means surrendering some IP.
 
As a postscript, it is worth pointing out that the first Chinese patent was only granted in 1985 and recently, after decades of widespread theft, IP protection in China has improved at lightning speed. As Chinese companies issue more patents, the keener they are to protect them. According to the World Intellectual Property Organization in 2017 China accounted for 44% of the world’s patent filings, twice as many as America.

 
US inventions exploited in Asia by Chinese start-ups
 
An illustration of a disruptive life science technology invented in the US but exploited faster and more extensively in China is CRISPR-Cas9 (an acronym for Clustered Regularly Interspaced Short Palindromic Repeats), which is generally considered to be the most important invention in the history of biology.  The initial discovery was made in 2012 by a collaboration between Jennifer Doudna, at the University of California, Berkeley, USA and French scientist Emmanuelle Charpentier. Applications of CRISPR technology are essentially as infinite as the forms of life itself. Since its discovery, modified versions of the technology by Chinese scientists have found a widespread use to engineer genomes and to activate or to repress the expression of genes and launch numerous clinical studies to test CRISPR-Cas9 in humans.
 
Virtuous circle
 
Notwithstanding, transforming CRISPR genomic editing technologies into medical therapies requires mountains of data and advanced AI capabilities. China has both. The more genomic data you have the more efficacious clinical outcomes are likely to be. The better your clinical outcomes the more data you can collect. The more data you collect the more talent you attract. The more talent you attract the better the clinical outcomes. China is better positioned than America to benefit from this virtuous circle. China’s less than stringent regulation with regards to privacy and storing personal data gives it a distinct competitive advantage over American and Western life sciences companies. China also has more efficient means than any Western nation for collecting and processing vast amounts of personal data.
 
Collecting personal data

Any casual visitor to China will tell you that one of the striking differences with Western nations is that the Chinese economy is cashless and card-less. Citizens pay for everything and indeed organise their entire lives with a mobile app called WeChat, a multi-purpose messaging, social media and mobile payment app developed by TencentWeChat was first released in 2011 and by 2018 it was one of the world's largest standalone mobile apps, with nearly 1bn daily users who every day send about 38bn messages. Not only is WeChat China's biggest social network it is also where people turn to book a taxi, hotel or a flight, order food, make a doctor’s appointment, file police reports, do their banking or find a date and has become an integral part of the daily life of every Chinese citizen. State-run media and government agencies also have official WeChat accounts, where they can directly communicate with users. Further, an initiative is underway to integrate WeChat with China’s electronic ID system. It may be hard for people outside of China to grasp just how influential WeChat has become. There is nothing in any other country that is comparable to WeChat, which captures an unprecedented amount of data on citizens that no other company elsewhere in the world can match. This represents a significant competitive advantage. Applying AI and machine learning technologies to such vast data sets provide better and deeper insights and patterns. These vast and escalating data sets, and advanced AI capabilities for manipulating  them, give China a significant competitive advantage in the high growth life sciences industry, which  increasingly has become digital.
 
 Processing personal data
 
AI is another example of  a technology invented in the West and implemented much faster in China. The “watershed” moment for China was in 2017, when AlphaGo became the first computer program to defeat a world champion at the ancient Chinese game of Go. Since then, China has been gripped by “AI fever”.

Until recently AI machines were not much better than trained professionals at spotting anomalies and mutations in assays and data. This changed in early-2,000 with the ubiquitous spread of mobile telephony and the confluence of vast data sets and the development of neural networks, which made the onerous task of “teaching” a computer rules redundant. Neural networks allow computers to approximate the activities of the human brain. So, instead of teaching a computer rules, you simply feed it with vast amounts of data and neural networking and deep learning technologies identify anomalies and mutations in seconds with exquisite accuracy.

The Beijing Genetics Institute

An illustration of the scale and seriousness of China’s intent to become a world-leader in life sciences and to eclipse similar initiatives by the US is the 2016 launch of a US$9bn-15-year national initiative to develop technologies for interpreting genomic and healthcare data. This national endeavour followed the launch in 1999 of the Beijing Genomics Institute (BGI), which today is a recognised global leader in next generation genetic sequencing. In 2010, BGI received US$1.5bn from the China Development Bank, recruited 4,000 scientists and established branches in the US and Europe. In 2016 BGI created the China National GeneBank (CNGB) on a 47,500sq.m site in Shenzhen, which benefits from BGI’s high-throughput sequencing and bio-informatics capacities. CNGB officially opened in July 2018 and is the largest gene bank of its kind in the world. Dozens of refrigerators can store samples at temperatures as low as minus 200 degrees Celsius, while researchers have access to 150 domestically developed desktop gene sequencing machines and a US$20m Revolocity machine, known as a “super­sequencer”. The Gene Bank enables the development of novel healthcare therapies that address large, fast growing and underserved global markets and to further our understanding of genomic mechanisms of life. Not only has CNGB amassed millions of bio-samples it has storage capacity for 20 petabytes (20m gigabytes) of data, which are expected to increase to 500 petabytes in the near future. The CNGB represents the new generation of a genetic resource repository, bioinformatics database, knowledge database and a tool library, “to systematically store, read, understand, write, and apply genetic data,” says Mei Yonghong, its Director.

US life sciences benefit by engaging with Chinese companies

Lee, in his book about AI, suggests that it is not so much Beijing’s policies that keep American firms out of the Chinese markets, but American corporate mindsets, which misdiagnose Chinese markets, do not adapt to local conditions and fail to understand the commercial potential of Chinese start-ups and consequently get squeezed out of the Chinese market.

This is what happened as Google failed to Baidu, Uber failed to DiDi, Twitter failed to Weibo, eBay failed to TaoBao, and Groupon failed to Meituan-Dianping. We briefly describe the demise of Groupon and point to lessons, which can be learned from it.
 
Lessons from Groupon’s failure in China

Groupon failed to adapt its core offering when group discounts in China faded in popularity and as a consequence it rapidly lost market share. Meituan, founded in 2010 as a Chinese copy of Groupon, quickly adapted to changing market conditions by extending its offerings to include cinema tickets, domestic tourism and more importantly, “online-to-offline” (O2O) services such as food and grocery delivery, which were growing rapidly.
 
In October 2015, Meituan merged with Dianping, another Chinese copy of Groupon, to become Meituan-Dianping the world's largest online and on-demand booking and delivery platform. The company has become what is known as a transactional super app, which amalgamates lifestyle services that connect hundreds of millions of customers to local businesses. It has over 180m monthly active users and 600m registered users and services up to 10m daily orders and deliveries. In the first half of 2018 Meituan-Dianping facilitated 27.7bn transactions (worth US$33.8bn) for more than 350m people in 2,800 cities. That is 1,783 enabled services every second of every day, with each customer using the company’s services an average of three times a week. Meituan-Dianping IPO’d in 2018 on the Hong Kong stock exchange and raised US$4.2bn with a market cap of US$43bn.
 
Efficiency also drives innovation. Meituan-Dianping’s Smart Dispatch System, introduced in 2015, schedules which of its 600,000 motorbike riders will deliver the millions of food orders it fulfils daily. It now calculates 2.9bn route plans every hour to optimize a rider’s ability to pick up and drop off up to 10 orders at once in the shortest time and distance. Since Smart Dispatch launched, it has reduced average delivery time by more than 30% and riders complete 30 orders a day, up from 20, increasing their income. In 2019, the American business magazine Fast Company ranked Meituan-Dianping as the most innovative company in the world.
 
Takeaways
 
Although Meituan-Dianping and other companies we mention may not be well known in the West and are not in the health life sciences industry, they are engaged in highly complex digital operations disguised as simple transactions, which enhance the real-world experiences of hundreds of millions of consumers and millions of merchants. To achieve this the companies have amassed vast amounts of data and have perfected AI and machine learning technologies, which make millions of exquisitely accurate  decisions every hour, 24-7, 365 days a year. Such AI competences are central to the advancement of health life sciences. American life science professionals might muse on the adage: “make your greatest enemy your best friend” and consider trading some of their IP to joint venture with fast growing agile Chinese data companies in a strategy to restore and enhance their market positions.
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Is the digital transformation of MedTech companies a choice or a necessity?
 
Will 2019 see medical technology (MedTech) companies begin to digitally transform their strategies and business models to improve their commercial prospects?
 
We describe some of the changing market conditions that drive such transformations. We also briefly report the findings of two research papers on corporate digital transformations published in recent editions of the Harvard Business Review. These suggest that there are two “must haves” if company transformations are to be successful: leadership with the appropriate mindset and access to talented data scientists.
 
A bull market encouraging a business-as-usual mindset
 
MedTech is a large growing industrial sector (see below), which has benefitted significantly from the bull market in equities over the past decade but is one of the least equipped to prosper over the next decade in a radically changing healthcare ecosystem and a more uncertain global economy.

For the past decade equity markets have outperformed global economic growth and protected a conservative, production-orientated business-as-usual mindset in MedTech C-suites and boards of directors. This has made organizations either slow or reluctant to transform their strategies and business models, which define how they create and capture value. As we enter 2019 the protection that the MedTech industry enjoyed for years has been weakened by more uncertain markets, the tightening of monetary policy, slower global economic growth and disruptive technological change.

In this new and rapidly evolving environment MedTech markets are expected to continue growing but at a slower rate, operating margins are expected to decline as unit prices erode and companies will no longer be able to earn premium margins by business-as-usual strategies. Building a prosperous organization in a more uneven future is an important challenge facing MedTech leaders and will require a significant shift in their mindset and the talent they engage and develop.  
 

Medical technology

MedTech represents a significant sector of global healthcare, which has been relatively stable for decades. It has a market size of some US$430bn and has consistently experienced high margins and significant sales growth. For example, over the past decade the sector has grown at an annual compound growth rate of about 5%, with operating margins between 23% and 25%. The sector includes most medical devices, which prevent, diagnose and treat diseases. The most well-known include in vitro diagnostics, medical imaging equipment, dialysis machines, orthopaedic implants and pacemakers. The US and Western Europe are established centres for the sector, but trends suggest that China and India will grow in significance over the next decade. The sector is dominated by about 10 giant companies, which account for nearly 40% of the global market in sales revenues. All MedTech companies have significant R&D programs and the global spend on R&D is expected to grow from US$27bn in 2017 to US$34bn by 2022. An indication of how far developments in medical technology have come is robot-assisted surgery, which employs artificial intelligence (AI) for more precise and efficacious procedures. Robot-assisted surgery is expected to become a US$13bn global market by 2025. In the US the repeal of the medical device excise tax was not included in the recent tax reform. The industry believes the tax has a negative impact on innovation, and the rate of R&D spending by US MedTech companies is expected to fall by 0.5% over the next five years.
 
Resistance to change

For the past decade a substantial proportion of MedTech companies either have resisted or been slow to transform their strategies and business models despite increasing pressure from rapidly evolving technologies, changing reimbursement and regulatory environments and a chorus of Industry observers calling for MedTech companies to become less product-centric and more solutions orientated. This reluctance to change can be explained by a bull market in equities, which began in March 2009, outperformed economic growth, delivered some of the best risk-adjusted returns in modern market history and encouraged a conservative mindset among corporate leaders, who were reluctant to change and developed a “if it’s not broken why fix it” mindset.

Because the MedTech sector has been stable for years, established players have been able to compete successfully across the device spectrum, applying common business models and processes without much need for differentiation. MedTech’s strategy has been to market high priced sophisticated product offerings in a few wealthy regions of the world; mainly the US, Western Europe and Japan, which although representing only 13% of the world’s population account for more than 86% of the global MedTech market share (US: 42%, Europe: 33%, Japan: 11%). It seems reasonable to assume that in the future, as markets become more turbulent and uncertain, this undifferentiated strategy and business model will need to transform into ones that are far more distinctive and proprietary.

 
M&A has been MedTech’s principal response to market headwinds

MedTech’s principal adjustment to market headwinds over the past decade has been to increase its M&A activity rather than transform its strategies and business models. M&A’s increased companies scale and leverage, drove stronger financial performance, allowed companies to obtain a broader portfolio of product offerings and increased their international footprints. Some recent high-profile examples of M&A activity in the sector include Abbott’s acquisition of St. Jude’s Medical in January 2017, which led to Abbott holding some 20% of the US$40bn global cardiovascular market. Johnson & Johnson’s US$4bn buyout of Abbott Medical Optics Inc in February 2017, and the “mother of all M&A activity” was Becton Dickinson’s 2017 acquisition of C.R. Bard for US$24bn, which is expected to generate annual revenues of US$15bn.

According to a January 2018 McKinsey report between 2011 and 2016, 60% of the growth of the 30 largest MedTech companies was due to M&A’s, and between 2006 and 2016, only 20% of 54 pure-play publicly traded MedTech companies, “mostly relied on organic growth”. 
As MedTech leaders return to their desks in early 2019 after the worst December in stock market recent memory, they might begin to reflect on their past all-consuming M&A activity, which resulted in bigger but not necessarily better companies. After such a prolonged period of M&A’s, there is likely to be a period of portfolio optimization. Divestitures and spin-outs allow companies to capture additional value by improving capital efficiency, reducing operational complexity and reallocating capital to higher-growth businesses as the industry invests more in R&D to develop innovative product offerings that demonstrate value in an increasing volatile era and increasing price pressures. But divestitures are not necessarily changing strategies and business models, so MedTech’s vulnerabilities remain.
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The IoT and healthcare


 
Black December 2018 for equities
 
It is too early to say whether “Black December 2018” represents the end of the longest equity market bull-run in recent history, but it is worth noting that on Friday 21st December the Nasdaq composite index closed at 6,332.99, which was a drop of 21.9% from an all-time high of 8,109.69 on August 29th. The generally accepted definition of a bear market is a drop of at least 20% from a recent peak. World markets followed Wall Street. Japan’s Topix Index fell to its lowest level for 18 months and the pan European Stoxx 600 Index hit a two-year low. However, seasoned market observers suggest that although the average bull market tends to last for about 10 years, it does not simply die of old age, and the December 2018 market behaviour is consistent with a “maturing cycle” in which there is still room for stocks to grow. This note of optimism could encourage a continuation of a “business-as-usual” mindset in MedTech C-suites and boards of directors.
 
Anaemic economic growth forecasted

The outlook for the global economy in 2019 does not bring any comfort. In October 2018 the International Monetary Fund lowered its forecast for global economic growth for 2019, from 3.9% to 3.7%; citing rising trade protectionism and instability in emerging markets. In September 2018 the Organisation for Economic Cooperation and Development (OEDC) suggested that economic expansion may have peaked and projected global growth in 2019 to settle at 3.7%, “marginally below pre-crisis norms with downside risks intensifying.” The OECD also warned that the recovery since the 2008 recession had been slow and only possible with an exceptional degree of stimulus from central banks. And such support is ceasing.
 
Tightening of monetary policy

Global monetary policy is tightening as central banks retreat from their long-standing market support. After four years of quantitative easing (QE) the European Central Bank (ECB) has ended both its money printing program and its €2.6trn bond purchasing program. The Bank has done this just as the Eurozone growth is cooling and Europe seems to be destined for a slow relative decline, which raises concerns about the sustainability of the single currency area. Notwithstanding, some observers suggests that for the next few years capital can be reasonably safely deployed in the beer-drinking nations of northern Europe, but not in the wine-drinking countries of southern Europe; especially France and Italy, two countries at the centre of the Eurozone’s current challenges. France’s budget deficit exceeds that permitted by the EU and in the latter part of 2018 the nation’s anti-government gilets jaunes demonstrators led to President Macron promising more welfare spending than the nation can afford. This could suggest that France is on the cusp of an Italian-style debt crisis. Although these economic trends have been telegraphed for some time, after nearly a decade of a bull market and low interest rates, there seems to be some complacency in the equity markets about the risks from higher rates and elevated corporate debt. But this sentiment is expected to change in 2019.
 
Transformation is no longer a choice

This more uncertain global economic outlook, heightened US-China tensions, tighter monetary policy and a maturing global business cycle together with significantly changed and evolving healthcare ecosystems suggest that transformation of MedTech strategies and business models is no longer a choice but a necessity if they are to maintain and increase their market positions over the next decade.
 
A challenge for many MedTech companies is that they still work on dated and inappropriate systems or hierarchical processes, and too few leaders and board members fully comprehend the speed and potential impact of advanced digital technologies. Those organization with some appreciation of this are already looking to adjacent sectors for talent and knowhow that could help them evolve their strategies and business models. But such partnerships might not be as efficacious as expected. We explain why below.
 
Digital transformations

Let us turn now to consider digital transformations. Data scientists and machine learning engineers are critical to any digital transformation. One significant challenge for companies contemplating such change is talent shortage, which disproportionately affects companies not use to dealing with such talent. Data scientists are aware of their scarcity value and they tend not to work in IT silos of traditional hierarchical organizations but prefer working for giant tech companies in devolved networked teams, focusing on projects that interest them.

Companies that fail to engage talented data scientists will be at a disadvantage in any digital transformation. Mindful of such challenges some MedTech companies are beginning to partner with start-ups and smaller digitally orientated companies. But this is not necessarily an answer because talent shortage also affects start-ups. The answer lies in understanding how giant tech companies recruit talented individuals. Companies like Google and Facebook are more interested in “tech savvy” individuals and less interested in formal qualifications. They tend to catch such talent with attractive internships when they are seniors in high school and juniors at university. These companies understand digital technology and have seen enough interns that they can correlate their performance on coding tests and technical interviews with their raw ability and potential rather than relying on formal qualifications as a proxy for skill.
 
A new and more dynamic leadership mindsets

Future MedTech leaders will not only need to have a deep knowledge of disruptive digital technologies and AI systems, but will need to have the mindset of an “inclusive networked architect” with an ability to create and develop learning organizations around diverse technologies with dispersed talent. Traditional hierarchical production mindsets, which have benefitted from business-as-usual for the past decade are unlikely to be as effective in an environment which is experiencing the impact of a significant and rapid shift in technological innovation. Sensors, big data analytics, AI, real-world evidence (RWE), robotic and cognitive automation are converging with MedTech and encouraging companies to pivot from being product developers to solution providers. This requires leaders with mindsets that reward value instead of volume and are agile enough to meet increasing customer expectations, whether those customers are payers, providers or patients.

Without leaders with informed, forward-thinking mindsets, enthused about new models of organizational structures, culture and rewards that provide greater autonomy to talented teams and individuals, MedTech companies could remain at a disadvantage in competing with other technology companies for similar talent and expertise. Future MedTech leaders must understand how work is being redefined and the implications of this for talented individuals and devolved networked teams. It seems reasonable to assume that future MedTech leaders will be generalists: executives with more than one specialism with an ability to breakdown silos and bridge knowledge gaps across organizations and develop new models of organizational structure, culture, and rewards.
 
Successes and failures of digital transformations

We have focused on digital transformation of traditional companies as a means for them to prosper in radically changing market conditions. Although there has been a number of successful corporate digital transformations there has also been a significant number of failures. Understanding why some succeed and some fail is important.
 
Successful digital transformations

One notable successful digital transformation is Honeywell, a Fortune 100 diversified technology and manufacturing company, which overcame threats from market changes and disruptive digital technologies by transforming its strategies and business models. In 2016, Honeywell’s Process Solutions Division, a pioneer in automated control systems and services for the  oil, gas, chemical and mining industries, set up a new digital transformation unit to assist its customers to harness advantages from the Internet of Things (IoT) by increasing their connectivity to an ever-growing number of devices, sensors and people in order to improve the safety, reliability and efficiency of their operations.

The Unit’s primary focus is on outcomes, such as reducing costs and enabling faster and smarter business decisions. Honeywell’s IoT platform called Sentience, is considered a toolkit to collect, store and process data from connected assets, offering services to analyse these data and generate insights from them to enable data-based, value-added services. Unlike similar platforms developed by Siemens and General Electric (GE), Honeywell does not sell their platform as an app, but markets data-based services predicated on its platform, which enable its customers to optimize the performance of their connected assets and improve overall production efficiency. Other corporations that have set up similar transformation units to harness the benefits of disruptive technologies include Hitachi, Hewlett-Packard, SAP and UPS.

Failed digital transformations

Perhaps the biggest digital transformational failure is General Electric (GE). In 2011, the then CEO Jeff Immelt became an advocate for the company’s digital transformation. GE created and developed a significant portfolio of digital capabilities including a new platform for the IoTs, which collected and processed data used to enhance sales processes and supplier relationships. Immelt suggested that GE had become a “digital industrial company”. The company’s new digital technology reported outcomes of a number of indices, which over time improved and attracted a significant amount of positive press. Notwithstanding, activist investors were not so enamoured, GE’s stock price languished, Immelt was replaced and the company’s digital ambitions came to a grinding halt. Other notable corporates, which tried and failed to harness the commercial benefits from disruptive technologies include Lego, Nike, Procter & Gamble and Burberry.  

Digitally transformed companies outperform those that resist change

Notwithstanding, research findings published in the January 2017 edition of the Harvard Business Review suggest that digitally transformed companies outperform those that lag behind. Findings were derived from 344 US public companies drawn from manufacturing, consumer packaging, financial services and retail industries with median revenues of some US$3.4bn. Conclusions suggest that digitally transformed companies reported better gross margins, enhanced earnings and increased net income compared to similar companies, which lagged behind in digital change. “Digital technology changes the way an organization can create value: digital value creation stems from new, network-centric ways your business connects with partners and customers offering new business combinations,” say the authors of the study. Critically, the mindset of leaders is significantly linked to successful digital transitions. According to the study’s authors, “Our research indicates that these leaders approach the digital opportunity with a different strategic mindset and execute on the opportunity with a different operating model.”

Reasons for failing to transform

According to a paper published in the March 2018 edition of the Harvard Business Review there are four reasons why digital transformations fail.
  • Leaders’ narrow understanding of “digital”, which is not just technology but a blend of talented people, organizational culture, appropriate machines and effective business processes
  • Poor economic conditions and depressed demand for product offerings
  • Bad timing. It is important that your market sector is prepared for the changes your company is proposing
  • Paying insufficient attention to legacy business. “The allure of digital can become all-consuming, causing executives to pay too much attention to the new and not enough to the old”. 
 
Takeaways
 
Business history has shown that large and established companies, which fail to respond to disruptive technologies in a timely and appropriate fashion can fail and disappear. Notable examples include America Online, Barnes & Noble, Borders, Compaq, HMV, Kodak, Netscape, Nokia, Pan Am, Polaroid, Radio Shack, Tower Records, Toys R Us and Xerox. MedTech leaders might be mindful of Charles Darwin’s hypothesis, which he describes in his book, On the Origin of Species published in 1859. Darwin suggests that “in the struggle for survival, the fittest win out at the expense of their rivals because they succeed in adapting themselves best to their environment”. Such a statement would not be out of place in a modern boardroom. It suggests that all industrial sectors need to develop to keep abreast of innovations and evolving trends. The main difference is that Darwin’s natural selection processes take millions of years, while significant changes that effect commercial businesses can take a matter of months.
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  • Experienced Western healthcare professionals have little knowledge of WeDoctor a Chinese internet healthcare start-up positioned to have a significant impact on global healthcare systems over the next decade
  • Founded in 2010 and backed by Tencent, a US$0.5trn Chinese conglomerate, WeDoctor has grown rapidly to become an influential US$6bn enterprise
  • WeDoctor bundles services AI and big data strategies into smart devices to help unclog China’s fragmented and complex healthcare system and increases citizens’ access to affordable quality healthcare
  • WeDoctor has expanded its franchise outside of China and has global ambitions to become the “Amazon of healthcare
  • Is WeDoctor an exemplar for Western healthcare providers?
 
WeDoctor’s impact on global healthcare

The speed and scoop of technological change is forcing traditional healthcare providers to move beyond the comfort of their production models, embrace services and develop smart devices, which support customer-centric, value-based, data driven strategies. To illustrate this shift, we describe a Chinese internet healthcare start-up WeDoctor, which is having an impact on re-engineering China’s overly bureaucratic, fragmented and complex healthcare system and is positioned to influence the delivery of value-based healthcare services globally in the next decade.
 
In this Commentary

This Commentary describes WeDoctor and some of its recent activities to expand its influence and market share. Three things of note:

  • The partnerships that WeDoctor has developed with payers and providers, which are different to conventional transaction-based contracts
  • WeDoctor’s pragmatic approach to evolving technologies, which differentiates it from Western technology companies entering healthcare markets
  • WeDoctor might be considered as an exemplar and its strategy copied by Western companies. Because most giant Western technology companies are banned in China, local firms have stopped copying Western counterparts and innovate. This has resulted in many Chinese apps and services being better than their Western rivals. For example, Huawei’s mobiles outperform Apple’s, and China is ahead on 5G, mobile money and artificial intelligence. In 2016 the US technology publication Wired ran a cover story entitled: “It’s Time to Copy China”.
Smart Clinics

Imagine going to your primary care physician and, within a 15-minute consultation, receiving up to eleven tests, which include analysing your blood and urine, taking your blood pressure and measuring the electrical activity of your heart; and all the tests being delivered by a small portable all-in-one diagnostic device weighing just 5 kilos (11Ibs) and situated on the table of your doctor’s consulting room.

Imagine further that your test results are returned in minutes rather than days or even weeks and uploaded to your cloud-based electronic medical record to be reviewed in real time by your doctor. Simultaneously, your data are anonymously merged with similar information collected from millions of other patients and stored in a cloud file embedded with AI, in the forms of machine learning and cognitive computing, which complement and enhance the capabilities of your doctor. Your physician plays a key role in interpreting your test results and providing you with a diagnosis and treatment options as well as giving you an essential human touch of reassurance and guidance. Notwithstanding, as soon as you leave your doctor’s office, your mobile phone will suggest smart ways to monitor and manage your condition remotely. Information about your condition will appear on your social media feeds, you will also receive prompts for treatments, alerts about health supplements and suggestions about appropriate insurance policies. Currently, no amount of money can buy such a service in advanced wealthy Western economies, but it is a lead device of WeDoctor, which is available in rural China and in other emerging countries. According to Frost and Sullivana consultancy, the China market alone for remote diagnostics is currently estimated to be US$2bn and projected to grow to US$28bn in 10 years. WeDoctor’s  near-term goal is to capture a significant share of this market and help re-engineer China’s healthcare system by nudging individuals with the right piece of information at the time to maintain their health. This makes the device valuable to patients, healthcare providers and payers.

 
Reverse innovation
 
It seems reasonable to assume that, in addition to being useful in China and other emerging countries, WeDoctor’s all-in-one diagnostic device is well positioned to help enhance primary care practice in developed Western nations by a process of ‘reverse innovation’. This refers to a strategy where a product offering, which is specifically developed for emerging countries is subsequently successfully marketed in developed wealthy nations. It is particularly relevant to healthcare systems, which are universally challenged to deliver high quality outcomes with increasingly scarce resources. The strategy was formalized in a paper entitled, ‘How GE is Disrupting Itself’, which was published in the October 2009 edition of the Harvard Business Review (HBR), and subsequently expanded into a book published in 2018 entitled, ‘Reverse Innovation in Healthcare: How to make value-based delivery work’.
 
In the early 2000s, General Electric (GE) took an affordable, high quality portable ultrasound device, which it had developed for the Chinese market and successfully marketed it in the US and elsewhere. GE found that ‘affordability’ and ‘portability’ were universally valued healthcare factors. Jeffrey Immelt, then chairman and CEO of GE and one of the authors of the 2009 HBR paper, challenged other multinationals, “to see innovation opportunities in emerging markets in a new light. Reverse innovation was more widespread than Immelt first thought and over the past decade the strategy has become a significant part in the armoury of many multinational corporations. Although the strategy is relevant for value-based healthcare,it is rarely practiced by Western healthcare providers.
 
The starting point for reverse innovation healthcare strategies is emerging markets where the rapid growth in the demand for quality healthcare outstrips the development of resources and infrastructure. This creates significant opportunities for Western companies with smart solutions to common healthcare challenges. Similar to GE’s portable ultrasound device, WeDoctor’s smart all-in-one diagnostic device, in time, could be marketed in developed regions of the world where healthcare systems are struggling to improve patient outcomes while reducing costs.
 
WeDoctor’s pragmatism

WeDoctor, founded by Liao Jieyuan an AI specialist, is backed by Tencentwhich is one of the world’s largest technology and internet companies with a market cap of US$0.5trn and a mission to enhance the quality of life through the development and global distribution of emerging technologies. WeDoctor has a market cap of US$6bn, an established network in China of some 240,000 doctors, 2,700 large premier hospitals, over 15,000 pharmacies in 30 of China’s 34 provinces and about 160m platform users and joins a growing contingent of technology companies with a mission to change the healthcare industry, which to-date has resisted online disruption.
 
Notwithstanding, there is a significant difference between giant Western technology companies who have entered healthcare markets and WeDoctor. While the former have tended to invest heavily in aspirational projects such as unravelling the medical mysteries of anti-ageing, and AI systems to replace clinicians, WeDoctor has been more pragmatic and focused on making money by unclogging bottlenecks in the Chinese US$1trn healthcare market. Although Liao is an AI expert and WeDoctor is a significant user of AI, Liao believes, “AI won’t replace doctors, but will become an important tool for doctors to help improve their efficiency and accuracy”. WeDoctor has a practical mission: to enhance access to quality medical resources, improve patient outcomes and reduce costs. Indeed, Liao founded WeDoctor simply to help people book physician appointments, which is challenging in China. Chinese primary care practices are underused due to the poor distribution of resources, a lack of reputable practitioners and the nation’s relatively low number of doctors per capita. Further, waiting times to see a hospital specialist are long and patients reportedly have to pay significant amounts of money to middlemen to secure appointments.
 
AI healthcare systems are more challenged in the West than in China
 
In 2017, the Chinese central government released a plan to become the world leader in AI by 2030, aiming to surpass its rivals technologically and build a domestic industry worth almost $150 bn. WeDoctor and other Chinese healthcare providers are mindful that AI is a transformative technology for healthcare partly because of its ability to recognise patterns in vast amounts of data and to detect and quantify biomarkers in non-solid biological materials. Jamie Susskind, in his book Future Politicspublished in 2018, suggests that doctors consulting both medical and legal big data banks in support of diagnoses and treatments, will become as commonplace as  consulting standard images such as MRIs or X-rays. And if such data banks are not consulted it will be considered negligent.  
 
WeDoctor’s AI systems hold out the prospect of delivering rapid diagnoses, efficient triage, enhanced monitoring of diseases, improvements in personalized care and making medicine safer. Notwithstanding, a limiting factor in the use of AI systems in healthcare generally is neither investment nor the technology, but the ability to amass vast amounts of reliable personal and genomic data. This is a bigger challenge in the West than in China. More robust privacy legislation, higher levels of security and broader-based ethical concerns in the West are substantial obstacles. A significant advantage of WeDoctor is the freedom in China to collect, store, analyse and use patient, personal and genomic data on an unparalleled scale. China has yet to establish laws to protect such personal information and is systematically building health profiles on its 1.4bn citizens, which, together with Beijing’s commitment to AI, will provide scientists in China a significant advantage to lead and dominate life sciences over the next decade.
WeDoctor is one of several similar start-ups
 
WeDoctor is just one of several recent Chinese online start-ups employing evolving technologies to improve China’s healthcare system. Another is Good Doctor, which is an offshoot of the Ping An Insurance Group, a financial giant with a US$181bn market cap, annual revenues of US$142b and 343,000 employees. Both start-ups compete to build smart clinics in rural China.
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WeDoctor endeavours to extend its franchise

In addition to its smart diagnostic device, WeDoctor has leveraged Tencent’s substantial expertise and resources in mobile, AI and cloud-based technology to develop a significant customer-focused retail prowess and is rapidly developing a range of services for healthcare providers and manufacturers of medical devices. This positions the company well to have a significant near-term impact on Asia’s healthcare systems. In 2018 alone, WeDoctor has strengthened and extended its franchise by entering into a number of partnerships with a range of healthcare stakeholders, which include insurance companies, specialist in the procurement and distribution of medical devises and also investment companies interested in improving the physical infrastructure of southeast Asian healthcare systems. We describe some of these partnerships, which enable WeDoctor to consolidate and expand its market position both in China and internationally and suggest that Western healthcare providers should be considering similar partnerships to help them make the product to service shift.
 
WeDoctor and the AIA insurance group

In May 2018, WeDoctor formed a strategic alliance with the AIA Group, which is the largest public listed pan-Asian life insurance group with customers in China and across the Asia-Pacific region. WeDoctor and AIA are aligned in their ambition to partner with consumers in China and across southeast Asia to provide innovative quality healthcare and wellness offerings and financial protection solutions. The partnership provides WeDoctor with preferred access to AIA’s customer base and thereby strengthens and enlarges its networks and strategies to deliver affordable, digitally-enabled personalised healthcare offerings. AIA becomes WeDoctor’s preferred provider of life and health insurance solutions and gains access to its 160m registered users. According to Liao the partnership, “leverages AIA’s long history and extensive operations across the Asia-Pacific region . . . and is crucial to meeting the diversified life and health insurance requirements of our growing user base as we look to anticipate users’ needs, through our platform’s expanding functionality and our mission to transform healthcare through technology. This partnership not only helps us to cement our position as the premier technology-enabled healthcare solutions platform in China but also supports us as we expand our international presence in the years to come”.  
 
WeDoctor and China’s IVF market

Also, in May 2018, WeDoctor made a strategic investment in Reproductive Healthcare,a new in-vitro fertilisation (IVF) group, which was formed by a merger between two of Hong Kong’s largest and most reputable IVF practices. This was WeDoctor’s first investment outside of Mainland China and represents a significant milestone for the implementation of its international strategy. The new company provides a comprehensive range of IVF services, which include intra-uterine insemination, frozen-thawed embryo transfer and egg freezing services for China and the Asian region. The new company’s established frozen embryo services benefit from findings of a paper published in the January 2018 edition of the New England Journal of Medicine, which suggest that pregnancy and live birth rates are similar among women who use fresh or frozen embryos.
 
WeDoctor and its expanded international IVF market
 
In August 2018 WeDoctor, entered into an agreement with the Mason Group and Aldworth Management to acquire an 89.9% stake in Genea, Australia's leading provider of integrated advanced assisted reproductive technology (ART) services. Headquartered in Sydney, Genea has over 400 employees and is a leading international fertility group with a 30-year track record and a significant presence in New Zealand and Thailand as well as Australia. The company offers a comprehensive range of ART services, including IVF, egg and embryo freezing, genetic testing, sperm banking, day surgeries and pathology. Genea has developed proprietary technologies, including culture media and embryo transfer catheters, which are used in more than 600 clinics across 60 countries and is the only ART platform, with both services and technology, in the industry worldwide. The agreement strengthens both WeDoctor’s international strategy and its ability to increase its share of China’s US$2bn and fast-growing IVF market. WeDoctor also is targeting a bigger share of the outbound Chinese IVF medical tourism market, which in 2017, grew approximately 40% year-over-year to approximately US$151m. According to Grand View Research, the global IVF market in 2017 was valued at about US$15bn and is expected to grow at a CAGR of around 10%.
 
WeDoctor is China's first smart medical supply chain solutions and procurement company
 
In July 2018, WeDoctor entered into a joint venture (JV) with IDS Medical Systems Group (idsMED Group), to form idsMED WeDoctor China Ltd. This is China's first smart medical supply chain solutions and procurement company and is positioned to transform China’s fragmented, multi-layered and relationship-driven medical device distribution systems.
 
idsMED is a leading Asian medical supply chain solutions company specialising in the distribution of medical devices and consumables, clinical education and hospital design and planning. It represents over 200 global MedTech companies and has extensive Asia Pacific distribution networks with access to over 10,000 healthcare institutions. The company has 1,600 employees, including 700 experienced field sales, product and clinical specialists and 300 professional bio-medical engineers providing installation and maintenance services.
 
The JV, owned 51% by WeDoctor and 49% by idsMED Group leverages the respective companies’ strengths, innovative resources and networks to procure medical devices and services centrally by connecting global manufacturers directly to China’s hospitals and healthcare providers. The JV will further enhance WeDoctor’s value proposition by managing and optimizing China’s entire medical supply chain, which until now has been fragmented, overly bureaucratic and complicated. In addition, idsMED WeDoctor will set up medical education and training academies throughout China to deliver and promote medical devices and clinical education as well as accredited medical training courses for doctors and nurses.
 
WeDoctor & Fullerton
 
In September 2018 WeDoctor entered into a strategic partnership with Fullerton Health a Singapore-headquartered healthcare service provider. The alliance is, “In line with WeDoctor’s international growth strategy and will extend our reach and facilitate our development in Asia,” said Jeff Chen, WeDoctor’s Chief Strategy Officer. The JV provides WeDoctor access to Fullerton Health’s 500 healthcare facilities and its network of over 8,000 healthcare providers across eight Asian pacific markets. Fullerton Health benefits from WeDoctor’s footprint in China and broadens its patients’ access to online healthcare consultations. In the near term, both companies aim to broaden their reach in the corporate healthcare service market by opening onsite medical centres for businesses across China. In addition, the partnership plans to create about 100 primary care and specialist outpatient facilities.
 
Takeaways

Healthcare has become digital and global and long ago, the geo-political axis of the world has moved East. To remain competitive, Western healthcare providers must increase their knowledge and understanding of initiatives in China and southeast Asia, be prepared to transform their strategies and business models and engage in partnerships with a range of healthcare stakeholders, complementary enterprises and start-ups in emerging nations.
 
Two of China’s largest healthcare challenges are the uneven distribution of its services and its vast and escalating costs. The nation has an underserved primary care sector and the most qualified and experienced doctors are concentrated in a few premier mega-city hospitals, which account for 8% of the total number of medical centres but handle 50% of the nation’s outpatient visits. These challenges are not unique to China but experienced by healthcare systems throughout the world.

WeDoctor is an exemplar of how such universal healthcare challenges might be improved by a combination of evolving smart technologies and strategic partnerships with a range of healthcare stakeholders. As MedTech companies continue to transform their business models to increase customer-centricity, the types of partners they need to engage will only expand. In a rapidly moving market, keeping abreast of these potential collaborators is critical.

Another takeaway is that WeDoctor does not use AI and big data technologies to resolve the mysteries of medicine, but to increase access to healthcare, improve diagnoses, enhance patient outcomes and lower costs. The company also is increasing the effectiveness and efficiency of healthcare providers by simplifying and centralizing procurement processes of medical devices and pharmaceuticals.
 
Once WeDoctor has helped to improve China’s healthcare infrastructure, the nation would have amassed the world’s largest personal, medical and genomic data base of its citizens. WeDoctor will then be well positioned to turn its formidable AI prowess to accelerating R&D in lifesciences, improving the accuracy of early diagnoses, enhancing the monitoring of devastating life-threatening diseases and improving personalized care.
 
WeDoctor is an exemplar for Western MedTech companies.
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  • Life-changing eating disorders are increasing, and their causes are assumed to be more about emotional and psychological challenges than food
  • For 60 years the global fashion industry has encouraged teenage girls and young women to emulate an unrealistic ‘thin ideal’ body image
  • As social media became the principal means for young people to communicate and receive information, so billions of fashion advertising dollars migrated to social media to propagate the ‘thin ideal’  
  • Although nearly a third of the world’s population participate in social media and a significant proportion are “extreme” daily users, the mechanisms of social media and their effect on young peoples’ mental health are not fully understood
  • Notwithstanding, there is a growing body of evidence suggesting that the more time people spend on social media the greater is their likelihood of developing mental ill-health and eating disorder

Is social media an accelerant for life-threatening eating disorders?
 
A May 2018 Brooking’s Institute research paper suggested that social media has become a significant mechanism for spreading and reinforcing misinformation - fake news - which can influence and disrupt democratic political processes and thereby are a threat to 21st century democracy.  Similarly, we contend that misinformation about body images, diets, lifestyles and beauty distributed on social media could be an accelerant for teenage and adolescent girls to engage in life-changing disordered patterns of eating to achieve an unrealistic body image.
 
A September 2018 report by Sky News UK suggested that entities, which actually promote eating disorders and unhealthy and dangerous attitudes towards food and body image were not picked-up by Instagram, an online photo-sharing app with 1bn active monthly users. Daniel Magson, vice chair of Anorexia & Bulimia Care, a charity, suggested that Instagram is "not a safe space” because it hosts communities, which promote, “the best ways to injure or self-harm,” and recommend “the best places to dine with private toilets for afterwards”.
 
A 2017 survey of 1,500 14 to 24 year-olds in the UK carried out by the Royal Society for Public Health (RSPH) rated Instagram the worst social media site for young people’s mental health, and suggested that, "social media may be fuelling a mental health crisis" in young people. Shirley Cramer, the CEO of the RSPH, said: "It's interesting to see Instagram and Snapchat (another photo sharing app with 191m active daily users) ranking as the worst for mental health and wellbeing; both platforms are very image-focused.Instagram is addressing the issue and recently announced that it is doubling the number of people working across safety and security teams for Facebook and Instagram to 20,000 by the end of 2018, which includes a team of 7,500 content reviewers (Facebook acquired Instagram in 2012 for US$1bn, 18 months after its launch).
 
In this Commentary

This Commentary:
1. Describes common eating disorders
2. Provides a brief analysis of the incidence, distribution and determinants of eating disorders
3. Explains the genesis of the ‘thin ideal’ and how it has become an unrealistic body image, which the fashion industry encourages young people to emulate
4. Provides a short historical description of Western social media and notes that although it has rapidly become a global phenomenon the mechanisms that drive it are not widely understood
5. Explains some of the hidden mechanisms how social media may affect a user’s perceptions of themselves and influence their behaviour
6. Provides a brief selective summary of the growing body of research, which reports “extreme” use of social media by teenager girls and young women and the rise in incidence rates of mental ill-health and eating disorders in this cohort
7. Describes how the fashion industry was quick to realise the significance of social media as a cost-effective means to influence the opinions and purchasing behaviour of teenage girls and young women and shifted billions of marketing dollars away from traditional content providers to social media platforms to promote the ‘thin ideal’
8. Suggests that longitudinal studies are necessary in order to increase our understanding of the association between multifaceted eating disorders and social media
9. Concludes that social media was a communications revolution that promised to increase interactions and flows of information and knowhow between millions of dispersed people and lower cultural, religious and regional divides. On one level it achieved this. But as social media developed and was better understood, so it was realized that social media could also be used as an agent for misinformation – fake news - and to encourage discordant behaviour. And therefore, social media could become an accelerant for mental ill health and life-threatening eating disorders.
 
1
Eating disorders
 
Almost everyone worries about their weight occasionally. Abnormal eating disorders are when individuals take such concerns to extremes and obsessively focus on their weight, body shape and food and this can threaten their health, emotions and their ability to function in important areas of life. The most common eating disorders are: (i) anorexia nervosa, which is a serious, potentially life-threatening illness where individuals often equate thinness with self-worth; think they are fat even when they are dangerously thin, and restrict eating to the point of starvation, which leads to extreme weight loss and a low body mass index (BMI) 2, (a BMI of between 18.5 kg/m2 and 24.9 kg/m2 is considered a healthy range for young women); (ii) bulimia nervosa: is when individuals eat excessive amounts of food, then purge, which may include self-induced vomiting, abuse of laxatives, diuretics, diet pills, appetite suppressants or other stimulants; and (iii) binge eating, which is when individuals regularly eat too much food (binge) and feel a lack of control over their eating, but they do not purge. Two further eating disorders, which are growing in significance, but as yet, are not officially recognised as medical conditions are orthorexia and drunkorexia. The former is when individuals want to live healthier lives by eating well, but then get so obsessed with “healthy” food that they become unwell and socially isolated. The latter is a condition where individuals use extreme weight control methods as a means to compensate for planned binge drinking.

 
2
Epistemology

Before 2000 the overall incidence rates of eating disorders were relatively stable for a few decades. But following the introduction and spread of social media there was a hike in the incidence rates, especially among Western teenage girls. However, it is not altogether clear whether this is due to an increase in eating disorders or the result of more effective diagnoses and a greater awareness of the conditions.

The US National Eating Disorder Association, estimates that there are some 70m people worldwide with eating disorders and about 30m in the US. A 2017 US National Institutes of Health report suggests that between 2001 and 2003 the lifetime prevalence of anorexia nervosa in American adults was 0.6%, and 3-times higher among females (0.9%) than males (0.3%). The prevalence of bulimia nervosa was 0.3%; 5-times higher among females (0.5%) than males (0.1%), and the overall prevalence of binge eating was 1.2% and twice as high among females (1.6%) than males (0.8%).

A 2013 report from the UK’s Joint Commissioning Panel for Mental Health suggested that there are over 1.6m people in Britain with eating disorders, but this is likely to be an underestimate since a significant proportion of people with such disorders do not seek help. The UK’s Department of Health suggests that a more likely figure is about 4m. Information provided by The Priory, a private hospital group specialising in mental health, suggests that 1% of all women aged between 15 and 30 in the UK are affected with anorexia nervosa, 40% of people with eating disorders suffer from bulimia, and the people most affected with eating disorders are females between 11 and 25.
 
The exact causes of eating disorders are not well established, but a significant body of opinion suggests that they are not about food, but more to do with unhealthy and sometimes life-threatening ways to cope with emotional problems. In parallel with these psychological explanations there is research to suggest that eating disorders have either genetic or biological causes associated with 2-way communications between the gut and the brain through both nerve connections and biochemical signals. A recurring theme shared by people with all types of eating disorders is an expressed or implied dissatisfaction with their body image and their aspiration to achieve the “thin ideal”, which is a concept that has been propagated by the fashion industry for the past 60 years.

 

3
The thin ideal
 
Over time what has generally been accepted as a beautiful body has changed. In recent history, the biggest change occurred in the I960s when thinness and the absence of a figure became a body image propagated by the global fashion industry as an ideal for teenage girls and young women to emulate. This was personified by Lesley Lawson, an English model known as “Twiggy”, who had a slim androgynous look and a body mass index (BMI) of 15 kg/m2, (a BMI under 18.5 kg/m2 is considered malnourished). Twiggy replaced the notion of a beautiful woman as full-figured and gave birth to the “thin ideal”.  In the 1970s diet pills and amphetamines became widely used to suppress appetite in order to cultivate the thin ideal. The 1980s was the decade of the supermodel when the thin ideal became even thinner, and about the same time anorexia nervosa began to receive mainstream medical attention. Notwithstanding, in the 1990s the ideal body for young women became an extremely thin look with big breasts, and by the end of the 90s the fashion industry propagated a “heroin chic” look, which was characterised by a skeletal body, emaciated features, androgyny, red lips and dark circles under the eyes. Thus, for the past six decades the body shape of the “most admired” models, which fashion advertising encouraged young girls to emulate, has remained consistently slimmer than that of the average western woman. However, at the end of the 1960s there was a “hippie” era when, for a relatively short period, a more full-figured look returned, and more recently there have been movements towards a more realistic standard of beauty. Notwithstanding, the thin ideal persists and continues to affect teenage girls and young women who emulate this unrealistic body image and become preoccupied with their weight and size, which some control by various unhealthy means and this results in anxiety, negative body image and dieting to below their natural body weight.
 
4
Social media

Over the past decade, as social media has become the primary means by which young people communicate, share and receive information, so the fashion industry has increasingly used social media to propagate the thin ideal. Social media is comprised of a collective of websites and applications, which enable users to create and distribute content and to interact and collaborate with friendship groups. Social media’s power and influence is significantly related to the number of users, its penetration and the regularity of usage. By the end of 2019 it is projected that there will be around 2.77bn social media users worldwide and 3bn by 2021, which equates to about a third of the world’s population. Social media’s global penetration is increasing: in 2017, 71% of internet users were social media users. Recent studies - see section 6 below - suggest that there is an increasing proportion of “extreme users” who spend up to 8 hours a day on social media.
 

A brief history of social media

Here we provide a brief and partial history of Western social media platforms. Social media started in 1997 with Six Degrees, which was an online platform that enabled users to upload their profile and share it with friends. MySpace followed in 2003 and was acquired 2 years later by News Corporation for US$0.58bn. At its peak in 2008, MySpace was the world’s most visited social media site with 76m unique monthly visitors. LinkedIn, a business and employment networking platform was also founded in 2003 and today has some 0.5bn registered members in 200 countries, 106m of whom are active. Facebook launched in 2004, has become the world’s most widely used social media platform with some 2.23bn active monthly users. 76% of Facebook users are female. In 2012 it was estimated that 83m Facebook accounts were bogus, (for relevance see discussion on ‘social bots’ in section 5 below). YouTube founded in 2005, is a global video sharing platform featuring a wide variety of user generated and corporate media content and is now the world’s 3rd most visited site after Google, the world’s most used search engine. Every minute some 400 hours of video are uploaded onto YouTube, each day people watch 1bn hours of videos, more than half are watched on a mobile device and the average viewing session lasts 40 minutes. Reddit, founded in 2005, is a social media forum where content is socially curated and promoted by users through voting. It was acquired by Condé Nast in 2006 for an undisclosed amount between US$10 and US$20m but is now independent. As of February 2018, Reddit had 542m active monthly visitors. Twitter, an online news and social networking site launched in 2006 has some 328m monthly active users. Tumblr, founded in 2007 and acquired in 2013 by Yahoo! for US$1.1bn, is a microblogging and social networking website. As of 2017, Tumblr had almost 738m unique visitors globally and generated over 148bn posts. Instagram a photo and video-sharing social media network was founded in 2010, acquired by Facebook in 2017 for US$1bn, and has 1bn monthly active users. Snapchat, a multimedia messaging app launched in 2011 has some 188m active daily users sharing over 400m photographs every day. Facebook, Instagram and Snapchat are the most popular social media sites.
 
5
Hidden mechanisms that drive social media

Human biases
Social media encourages users to constantly compare and judge their bodies with that of the thin ideal of “friends” and “celebrities” they follow. Cyberbullies and body shamers, can relatively easily use social media to infiltrate an individual’s private space and daily life. They may then constantly post information, which can affect that individual feeling inadequate about themselves and their body image. Social media postings can be 'shared', 're-tweeted', 'liked', copied and end up 'going viral'.  Where a posting is defamatory, the damage done can be significant.  Cyberbullying is a form of wilful and repeated harm, which is inflicted through the use of social media and is often directed at a user’s body image and appearance. Shamers are people who use social media to publicly mock or criticize someone for a particular aspect of their appearance or behaviour and makes them feel either humiliated or ashamed.

Females under 25, are predisposed to perceive what they see on social media as reality despite the fact that many images could have been altered and information might be fake. Social media differs from traditional mediabecause it is a distributor of content and not a publisher. This means that social media platforms are not regulated in the same way as traditional media outlets, which suggests that misinformation can be spread unimpeded. Individuals tend to pay more attention to information that supports their previously held beliefs and are more prone to share such information even if it is false. Further, individuals have different tolerance levels towards the ambiguity of information and have an innate desire to minimize uncertainty. Social media provides a means to do this. Users can use the “like”, sharing and friendship functions to give precedence to information that accords with users’ perceptions of self, body image and beauty etc. This tends to narrow the scope of information, which individuals receive, and therefore users of social media are often unaware of competing perspectives. Thus, social media can have the effect of segregating people into virtual communities of likeminded individuals, which makes them potential targets of specific marketing endeavours seeking to influence their behaviour.

Social media and Al
The behaviour of social media users is also influenced by deep learning algorithms. Originally social media used artificial intelligence (AI) to forward information chronologically. Now algorithms are taught to identify information, which already has significant engagement among friendship groups and then to distribute that information to millions of like-minded users, who, in turn share it with their friendship groups, which then is identified again by algorithms and distributed even further and so on and so forth. This creates a significant ‘cycle of influence’, which can be used to effectively spread messages and body images to people predisposed to such information and is a gift to marketers who can use such mechanisms to influence peoples’ beliefs and behaviours at zero cost. Marketing firm Tribe Dynamics has developed a metric called “Earned Media Value” (EMV), which measures the marketing revenues saved through such social media promotional endeavours. It seems reasonable to suggest that such cycles of influence could transform social media platforms into agents for establishing and confirming user biases towards body images, diets and lifestyles just as fake news can influence peoples’ political beliefs and behaviours.
  
Social bots
Bots are automated software applications. Social bots, with fake identities, control social media accounts and trick legitimate users that they are real human beings and they then automatically generate and spread images and information at a much higher rate than any human. This can significantly affect users’ opinions and behaviours. Although illegal, social bots are provided as a service by marketing companies. Celebrities use them to boost their social media images and make them appear to have many more followers than they actually do; and this can legitimize them being social influencers.  Social bots are most common on Twitter, but they are also used on other social media platforms. For instance, as mentioned above, Facebook is reported to have some 83m fake accounts. What differentiates social bots from other forms of malware is the fact that they specifically exploit social media’s trust factor to join networks and friendship groups so that they can influence users’ opinions and behaviours. Social media platforms are beginning to employ neural networks to identify social bots and close them down, but still they persist.
 
Users’ naivety
A significant proportion of social media users do not understand the hidden mechanisms used to influence an individual’s opinions and behaviours. While most social media users understand that not all information they find online is truthful, a  2018  study by the UK government’s telecommunications regulator Ofcom suggests that 10% of social media users do not think about whether the “factual” information they find is truthful, and 23% do not make any checks on the trustworthiness of the content on social media. Although 54% are aware of how search engines are mainly funded, 18% give an incorrect response, and almost 28% do not know. Only 48% of search engine users are able correctly to identify advertising on Google, despite it being identified by a box with the word “Ad” in it, and just under 18% think that if something has been listed by a search engine it must contain accurate and unbiased information, although this figure has decreased since 2016, when 21% thought so.
 
6
The evidence

Extremeusers
It is well-established that teenagers and young adults spend a significant amount of time on social media and increasingly less time with traditional media such as TV, magazines and newspapers. According to Statista, in 2017, the average daily usage of social media worldwide amounted to 135 minutes, up from 126 minutes in 2016. Teenagers and young adults in the US and UK spend an average of 170 and 180 minutes a day respectively on social media. The 2018 Ofcom report, mentioned above, suggests that 6% of British children between 12 and 15 are “extreme users” of social media and spend up to 8 hours a day online at weekends, and this could negatively affect their mental health. Findings further suggest that during the week 1% of this cohort spends more than 8 hours a day on social media, 4% more than 6 hours and 11% between 4 and 8 hours. The report concludes that social media use in the UK is almost universal: 98% of 16 to 24-year-olds use social media as do 96% of those between 25 and 54.

Eating disorders
A 2011 study by researchers from the University of HaifaIsrael, examined 248 young women between 12 to 19 and found that more exposure to social media contributed to higher rates of eating disorders and related concerns. Specifically, the more time they spent on social media, the more likely they were to struggle with “…bulimia, anorexia, physical dissatisfaction, negative physical self-image, negative approach to eating and more of an urge to be on a weight-loss diet.”

Mental ill health
A  July 2015 paper published in Cyberpsychology Behavior and Social Networking, suggests a significant correlation between time spent on social media and experiences of high levels of psychological distress and suicidal ideation. Findings show that students with poor mental health spend longer on social media. An association between time spent on social media and mental ill-health is also suggested in a 2015 US study by the non-profit group Common Sense MediaBased on a national sample of more than 2,600 young people aged between 8 and 18, findings suggest that teenagers are spending more than 9 hours a day using social media; and children between 8 and 12 nearly 6 hours a day; and that time spent on social media impacts their mental health.

A 2015 report from the UK’s Office for National Statistics suggests that children who spend more than 3 hours a day on social media are twice as likely to report ‘high’ or ‘very high’ scores for mental ill-health. These findings accord with a 2017 study undertaken by Emily Frith for the OECD entitled Social Media and Children’s Mental Health. Frith’s findings suggest that there is a significant correlation between time spent on social media and mental ill-health: 37% of British 15-year-olds are “extreme social media users” spending at least 6 hours a day online and this may have damaging mental health consequences. Further, 18% of extreme social media users in the UK were more likely to report being bullied, which is a contributory factor of mental ill-health.

Cyberbullying and eating disorders
A 2018 UK all party parliamentary inquiry into social media and cyberbullying found that cyberbullying is, “distinct and potent, particularly due to its potential to be relentless". . .and there is an, “association between the time children spend on social media and their emotional well-being . . . . . Children and young people who are currently experiencing a mental health problem are more than three times more likely to have been bullied online in the last year.” The Inquiry also suggests that, “There is a connection between intensive social media use and mental ill-health - 38% of young people reported that social media has a negative impact on how they feel about themselves, compared to 23% who reported that it has a positive impact. This was exacerbated for girls, with 46% of girls stating that social media had a negative impact on their self-esteem.” A 2015 report by the US National Eating Disorders Association found that, “65% of people with eating disorders say bullying contributed to their condition”.

 
7
The global fashion industry’s advertising dollars
 
The global fashion industry has a market value of about US$3trn, and employs some 116m people. In recent years, as traditional media declined and social media became the principal way people consumed and shared content, so marketing revenues shifted from traditional content providers to social media. This migration is aided by the increase popularization of mobile telephony and the increasing availability and affordability of mobile internet. eMarketer, a consultancy, estimates that in 2018 US marketers will spend some US$48bn on digital display ads. Social advertising in all formats is gaining traction and will be among the key drivers of digital advertising growth in the next five years. Social advertising revenue is expected to reach US$31bn by 2021, up from US$16bn in 2016.
 
8
More research needed

We have described some research, which documents the “extreme” use of social media by teenagers and young adults and the rise in incidence rates of mental ill-health and eating disorders. Also, we have described some studies that suggest a significant association between the two variables. Notwithstanding, establishing significance between complex eating disorders and social media remains challenging despite the fact that the incidence levels of eating disorders increased during the period of rapid social media growth. Challenges to establishing significance include: (i) a relative lack of deep understanding of social media and the global fashion industry, (ii) a relative lack of consistent data for long-term time series studies, (iii) the fact that over the past few decades the diagnostic criteria of eating disorders have changed, and (iv) research methods and access to patient mental health data have also changed.

We also have shown that the concept of the thin ideal has been propagated by a media driven celebrity culture over the past 60 years. We describe some of the “hidden” mechanisms and techniques used by social media to spread specific messages in order to influence users’ opinions and behaviours. These, together with: (i) the rapid spread and “extreme” usage of social media and (ii) the fact that billions of marketing dollars have shifted away from traditional media to social networks in order to influence opinions and behaviours, is evidence to suggest that social media could have a significant influence on impressionable young girls’ perceptions about themselves, their body images and encourage them to engage in disorderly eating to reduce their body weight to an unhealthy level.
 
9
Takeaways
 
Social media is a communications revolution, which promised unprecedented connectivity and the free flow of ideas and knowhow, which transcends cultural and geographic boundaries and brings greater choice and enhanced freedom to billions of people. There is no better illustration of its power and influence than the Arab Springin 2010 when social media was used to instigate the overthrow of numerous dictatorships in various regions of the world. For a short time afterwards, social media appeared to be the gateway to a new era for democracy and freedom of choice. However, none of the spontaneous uprisings fuelled by social media resulted in any discernible long-term benefits. As social media grew so did peoples’ knowledge and understanding of the phenomenon, and so grew concerns that social media could be a two-edged sword with the capacity to damage and harm as well as do good. Social media might well be an accelerant for life-changing eating disorders, but it still has to be proven.
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