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  • The MedTech industry is undergoing an era of unprecedented change
  • Pressure on revenues and margins have forced leaders to cling tightly to business as usual
  • In the next decade business as usual will come with significant commercial risks
  • For commercial success future MedTech leaders will need to be different to past leaders
 
Who should lead MedTech?
 
Questions about who should lead medical device (MedTech) companies in the future and what strategies and business models they should pursue are critical. Over the next decade MedTech faces an era of unprecedented change, when it will be necessary to develop new strategies, new business models, new markets, new capabilities and new technologies, while keeping the legacy business running. Future MedTech leaders will be tasked with bridging the gap between traditional manufacturing and sophisticated, digitally driven services while managing unprecedented change and significant competition. For the past 20 years MedTech leaders have been drawn from a relatively narrow set of people with a relatively narrow set of skills. Although this has served the industry well, it might not be the most appropriate policy to ensure commercial success over the next decade.
 
In this Commentary

In this Commentary we: (i) describe the traditional MedTech market, indicate the structure parameters of the industry and note that there is a rapidly evolving parallel digital healthcare technology market: one that is growing more than twice as fast and soon will be comparable in size to the traditional manufacturing-based market, (ii) suggest that MedTech leaders tend to be men in their 50s with limited understanding of this parallel digital healthcare universe, which is positioned to play a significant role in  shaping MedTech companies of the future, (iii) suggest that because MedTech leaders have performed relatively well over the past two decades, they have tended to become prisoners of their own traditions and felt little or no need to evolve their strategies and business models, (iv) contend that MedTech leaders’ principal response to market changes to-date has been increased M&A activity, which has made companies bigger but not better, (v) suggest that the industry is undergoing a significant market shift from manufacturing to solutions and services driven by the 4th industrial revolution, which is characterized by a fusion of technologies, and (vi) conclude that future MedTech leaders will require a deep knowledge and understanding of the 4th industrial revolution if they are to successfully transform traditional strategies and business models in order to deliver superior healthcare solutions at lower prices.
 
MedTech market and the structure of the industry

MedTech is a conservative manufacturing industry, which produces and markets a diverse group of product offerings predominantly in a few developed wealthy markets. Over the next decade the MedTech market is expected to change significantly. For the past two decades the industry has fallen into three broad segments: (i) diagnostic products, which include imaging devices, with a global market of some US$100bn, (ii) medical aids including consumer durables, such as hearing aids and bandages with a worldwide market of about US$150bn, and (iii) surgical products that include equipment and instruments used in the operating room, which has a global market of some US$140bn.
 
A 2017
EvaluateMedTech report suggests the global MedTech market is projected to eclipse US$500bn in sales by 2021, over 33% of which is expected to be derived from the US. The worldwide market is projected to continue growing at a compound annual growth rate (CAGR) of 5%. Ranked by 2017 revenues, seven of the world’s largest MedTech companies are American and a significant proportion of the world’s MedTech companies trade on Nasdaq. This includes 13 large companies with a market cap in excess of US$10bn, some of which are divisions of even larger corporations such as Johnson & Johnson Medical Devices and Diagnostics, with estimated global sales of US$38bn for 2018; this equates to approximately 7.6% of the worldwide MedTech market. Medtronic, which is the world's largest stand-alone MedTech company, has a market cap of US$117bn and in 2017 recorded revenues of US$29.7bn; 26% of which was generated in the US. Nasdaq has about 24 mid-cap MedTech companies ranging in value from US$2bn to US$10bn. The majority of these are American and tend to be regionally based with relatively small markets outside the US, Europe and Japan. There are some 27 small-cap companies with market caps between US$300m and US$2bn, 46 micro-cap companies ranging from US$50m to US$300m and finally some 28 nano-cap MedTech companies with market caps less than US$50m.
 
In recent years, a digital healthcare technology industry, where medical devices meet innovative software, has grown substantially, but mostly in parallel to the traditional manufacturing-based MedTech industry. According to
Transparency Market Research, in 2016 this industry, which is based on healthcare information systems and wearable devices, had annual sales of US$180bn, and is projected to grow at a CAGR of 13.4% between 2017 and 2025, reaching US$537bn in annual sales by the end of 2025.

 
MedTech executive leadership
 
There is a relative dearth of data specifically on MedTech leaders and the demographics of MedTech C-suites (senior executives which tend to start with the letter C). Notwithstanding, there are data on Fortune 500 and S&P 500 company leaders from regular surveys undertaken by executive search firms Korn Ferry, and Spencer Stuart. Some of the larger MedTech companies, such as Abbot Laboratories, Baxter International, Stryker and Boston Scientific, are listed in the Fortune 500 and S&P 500. If we assume a significant similarity between the demographics of Fortune 500, S&P 500 and MedTech company executives, then MedTech leaders will tend to be white males in their 50s, predominantly drawn from similar sector company C-suites and will have an average tenure of about eight years.
  
Middle-aged men
 
Over the past 20 years MedTech leaders have benefitted from the industry’s commercial success, albeit in recent years at a slower pace than before 2007. Most leaders are constrained by quarterly earnings targets, shareholder expectations, regulations and the high risk and cost associated with changing manufacturing systems. MedTech CEOs received their formative education before the widescale uptake of the Internet and email. Many had just started their careers in large corporations when giant technology companies such as Amazon (launched 1994) and Google (1998) in the US and their Chinese equivalents - Alibaba (1999) and Baidu (2000) - were start-ups, and the Chinese and Indian economies were still somewhat underdeveloped and inchoate. Consequently, most MedTech leaders were entering middle-age when US social media giants such as Facebook (2004), YouTube (2005), WhatsApp (2009) and Instagram (2010) and their Chinese counterparts such as WeChat (2011), RenRen (2005), Weibo (2009) and Youku (2005), were just taking off.
 
This might partly explain why some MedTech leaders appear to be challenged by the rapidly evolving new digital technologies and the industry’s shift from manufacturing to solutions and services. Such is the pace of change, it will require a shift of mindset among incumbent MedTech leaders if they are to fully grasp this new and significant opportunity set.
 
Similarly, with emerging markets. Most CEOs have knowledge of the wealthy MedTech markets, in particular the US and Europe. Few, however, have in-depth knowledge or first-hand experience of the large and fast-growing emerging economies such as Brazil, Russia, India and China (BRIC). The BRIC countries are at a similar stage of their economic development, and have a combined population of more than 3bn, which equates to about 40% of the global population. BRIC countries are differentiated from other promising emerging markets by their demographic and economic potential to rank among the world’s largest and most influential economies in the 21st century, and by having a reasonable chance of realizing this potential.
 
A future HealthPad Commentary will examine the opportunities for Western MedTech companies seeking or expanding their franchise in China and will suggest that they might not find it as easy as it would have been 5 years ago. Opportunities in China for global MedTech players are becoming tougher as the Chinese economy slows and restructures; Beijing’s healthcare reforms kick-in and local MedTech producers, buoyed by legislation, revenue growth and increased capacity, become commercially stronger, more technically sophisticated and take a bigger share of both the Chinese domestic and international emerging MedTech markets.
 
Underrepresentation of women
 
Not a single woman serves as CEO of a large MedTech company. Only 22% of their board members are women, which is about the same proportion as the Fortune 500 overall (20%), and about 22% of MedTech C-suites are women. In 2017, nearly 50% of the US labour force were women and 40% of these worked in management, professional and related occupations.  Although women are underrepresented in MedTech leadership positions they are key stakeholders in healthcare. About 35% of active US physicians are women. According to the Association of American Medical Colleges, (AAMC), 46% of all physicians in training and almost 50% of all medical students in the US are women.  60% of pharmacists in America are women.

It should not be forgotten that women have played significant roles in medicine and healthcare. For example, Marie Curie, the only person to win a Nobel Prize in two different sciences, pioneered research on radioactivity. Curie made a significant contribution to the fight against cancer and is credited with having created mobile radiography units to provide X-ray services to field-hospitals during World War I. Sussman Yalow, was awarded the Nobel prize in Physiology or Medicine in 1977 for the development of the radioimmunoassay technique, and Gertrude Elion won a Nobel Prize in Physiology or Medicine in 1988 for her work in helping to develop drugs to treat leukaemia and AIDS. More recently, Jennifer Doudna, and Emmanuelle Charpentier, were credited with the discovery of the ground-breaking CRISPR-Cas9 gene-editing technology, which effectively changes genes within organisms and is positioned to radically change healthcare and MedTech in the 21st century.

In addition to under-representation, which suggests that the pipeline of women candidates for top jobs in MedTech is weak, there is some evidence to suggest that the MedTech industry does not have a positive attitude towards women. Findings of a 2015 survey conducted by AvaMed, the industry’s principal trade association, suggest that women in the industry feel discriminated against. Some 42% of women respondents of the survey said they, “felt held back from senior leadership positions” and 37% felt “overtly discriminated against”. "The world cannot afford the loss of the talents of half its people if we are to solve the many problems which beset us,” said Yalow in her 1977 Nobel Prize acceptance speech.
 
MedTech’s business model
 
Over the past two decades MedTech leaders have drawn comfort from the fact that the global MedTech market is highly centralized. The US, Western Europe and Japan, which represent only about 13% of the world’s population, account for more than 86% of the global MedTech market share (US: 42%, Europe: 33%, Japan: 11%). Conversely, the BRIC countries, which represent about 40% of the world’s population, currently only account for about 5% of the global MedTech market. This has enabled MedTech leaders to market their product offerings to healthcare providers principally in a few wealthy developed regions of the world via well-compensated sales representatives with deep product knowledge and expertise. The industry’s predominant business model has been to raise prices on existing products and market new offerings at higher prices than the products they are meant to replace. This worked very well before 2007 during a period of sustained global economic growth, predominantly fees-for-service healthcare systems and relatively benign reimbursement policies; all of which contributed to high margins and significant sales growth.
 
Market changes not perceived as acute enough to trigger transformation
 
Since the 2008 recession the MedTech market has changed. The global economy has weakened, debt (sovereign, corporate and personal) has escalated, populations have continued to grow, and the prevalence of chronic lifetime diseases and multi-morbidities have increased. Over that period, healthcare systems have become fiscally squeezed, costs have become pivotal and impacted all stakeholders. This has led to: (i) a shift in healthcare systems from fees-for-service to fees-for-value (ii) increased consolidation, convergence, and connectivity of stakeholders and a consequent change in purchasing decisions from individual (fragmented) hospitals and clinicians to centralized procurement bodies, which can leverage economies of scale and negotiate for larger purchases at volume discounts, (iii) the decline of MedTech R&D productivity, and (iv) increased competition from new market entrants, often from different industries. MedTech’s gross margins have been squeezed and annual growth rates have slowed to a CAGR of between 4 and 5%. Notwithstanding, MedTech leaders, buoyed by continued but slower revenue growth, and doubtless comforted by a prolonged surge in US equity markets, have not perceived these market changes as being with sufficient acuity to transform their strategies or business models.  Their principal response has been to increase M&A. 
 
M&A main strategic response to market changes
 
Over the past decade M&A has provided MedTech leaders with a means to: (i) increase scale and leverage, (ii) drive stronger financial performance, (iii) obtain a broader portfolio of product offerings, (iv) enhance therapeutic solutions and (v) increase international expansion; without changing their companies’ fundamental manufacturing structures and strategies. 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. The report also suggests that between 2006 and 2016, only 20% of 54 pure-play publicly traded MedTech companies, “mostly relied on organic growth”.  M&A activity has resulted in bigger MedTech companies but not necessarily better ones. This is because M&A and collaborative relationships have not encouraged healthcare providers to change their strategies and business models and develop powerful data-sharing networks, which help drive integration across the continuum of healthcare.
 
Need for portfolio transformation
 
Encouragingly, the 2018 McKinsey report also suggests that some MedTech companies are beginning to use M&A to acquire “non-traditional” assets, such as software and service companies, to assist them in transforming their portfolios. Notwithstanding, portfolio change in a rapidly evolving and increasingly competitive healthcare ecosystem requires a sound strategic understanding of the potential role that the 4th industrial revolution can provide for MedTech. Given our discussion so far, it seems reasonable to assume that many current MedTech leaders and C-suite executives might not have fully grasped the commercial implications of this revolution for their industry. Portfolio change in the MedTech industry is arguably more likely to be led by executives from, or with an intimate knowledge of, adjacent, service-based companies; those who have successfully employed sophisticated digital technologies and big data strategies to transform their business models and who are now looking to do something similar in MedTech and healthcare markets.
 
The relative slowness of the MedTech industry to transform its strategies and business models is perceived as an opportunity by giant technology corporations. They sense the disruptive potential, just as they do in financial markets due to Wall Street’s inertia to digital change.  For example, in early 2018, Amazon, Apple, Google, and Uber announced their intentions to enter and disrupt the healthcare market by leveraging digital technologies to provide quality healthcare solutions and services at lower costs.
 
Rather than marketing products, MedTech companies are now increasingly being tasked with marketing solutions that can deliver better care at lower prices. The 4th Industrial Revolution is a primary enabler for achieving this. However, given the demographics and the conservatism of the MedTech industry, it seems reasonable to suggest that companies in the sector, which do not adapt, run the risk of becoming simple commodity producers stuck in the middle of a new and rapidly evolving value chain.

 
The 4th Industrial Revolution

The 1st industrial revolution used water and steam to mechanize production, the 2nd used electric energy to create mass production, the 3rd used electronics and information technology to automate production. The 4th industrial revolution, also known as ‘industry 4.0’, is characterized by a fusion of technologies, which is blurring the boundaries between medical devices, drugs, software and patient data and redefining relationships between the physical, biological and digital worlds. These exogenous shifts are likely to demand different strategies, different business models and different leaders for the MedTech industry.
 
Industry 4.0 provides MedTech with an opportunity for portfolio transformation by developing sophisticated data and digitization strategies to enhance company operational and financial performance. Industry 4.0 is driven by greater connectivity via the Internet and computing devices embedded in physical objects and advanced digital technologies, which enable them to send and receive data to help integrate producers, suppliers, business partners and customers; at the same time providing opportunities for MedTech companies to become smarter, more efficient and fully-networked organizations.
 
Key for superior shareholder returns
 
To date, MedTech leaders have been relatively slow to integrate new and evolving digital technologies into their core business operations, although there are encouraging signs that some companies are beginning to do so. Findings of a 2017 report by the Boston Consulting Group, (BCG) suggest MedTech companies are, “masking unsustainably high costs and underdeveloped commercial skills” and relying, “on an outdated commercial model”.  The BCG findings are based on a survey of some 6,000 MedTech employees in commercial functions, more than 100 interviews with MedTech leaders and benchmarking financial and organizational data across 100 MedTech businesses (including nine of the 10 largest companies) worldwide. According to BCG, although the industry overall has made little progress to change its business model and upgrade its skill levels, the companies, which have done so, are winning in the market and generating superior shareholder returns.

MedTech leaders should not mistakenly think that because their companies hold plenty of enterprise data they are implementing industry 4.0 strategies. Often, enterprise data do not provide any competitive advantage whatsoever but are simply a legacy cost of doing business. New sources of data, and the ability to use data’s power, are essential to enhance a company’s competitive advantage. A next-generation enterprise resource planning (ERP) platform, launched by SAP in 2017, is already being used by service companies to provide them with a digital core, which helps to create real-time matrixed data produced by social media, third party information, genetics, the Internet of Things, points of sale, etc.

 
Shift from selling products to selling solutions

To remain competitive in the next decade MedTech leaders will need to employ artificial intelligence (Al), augmented reality, robotics, advanced sensors, the Internet of Things (IoT), blockchain, nanotechnology, 3D printing, petabytes of data, enhanced processing power and storage capacity to help them transform their strategies and business models and enable their companies to evolve from being product-centric to customer-centric, with an emphasis on digitization and the capture and communication of data. Industry 4.0 and the convergence of the physical, biological and digital worlds will fundamentally change MedTech strategies and business models, as decision-making powers continue to shift from manufacturers to other healthcare stakeholders. Critical to this transformation will be those MedTech leaders who are well positioned to ensure that companies remain competitive in their core markets while establishing new markets underpinned by 4.0 technologies.
 
"Out-of-touch leaders" the main cause of company failure

A book published in 2016 entitled Lead and Disrupt suggests that company transformations fail because of out-of-touch leaders rather than competition. According to Michael Tushman, co-author of Lead and Disrupt, “The things that help organizations execute their current strategy - the cultures they build, the structures they forge, the processes that work so well to get today’s strategy executed - actually collude to hold the organization hostage to that soon-to-be-obsolete strategy. The more firms engage in getting today’s work done, it actually reduces the probability of making shifts in innovation and strategy. That is what is so strikingly paradoxical to leaders: The very recipes that work so well for today often get in the way of the future. It’s a challenge to incrementally improve what you’re doing as you’re trying to complement it with something different. The dual strategies are inconsistent.”
 
Takeaways

Over the past two decades MedTech companies have helped to shape healthcare systems in wealthy advanced industrial societies and have been rewarded with commercial success. But just as the fund investment axiom tells us, past performance is no guarantee of future success.

Crucial to the future success of MedTech companies will be their leaders. We have suggested that employing recruiting criteria, which have worked in the past might not guarantee future success. The next 10 years will be an era of unprecedented technological change for MedTech companies when the boundaries between medical devices, drugs, software and patient data become blurred.

Business as usual, which has served the industry well in the past, is unlikely to bring continued commercial success in this new healthcare ecosystem. In recent years, investment in digital healthcare has soared and the momentum towards a digital future has gathered pace. Future successful MedTech leaders will be those who combine a deep understanding of the 4th industrial revolution to leverage sophisticated digital technologies and data to assist them in creating and delivering enhanced healthcare solutions at lower costs, with an ability to keep the legacy manufacturing business running.  

MedTech companies face a stark choice: either appoint leaders similar to those of the past and become challenged or appoint leaders able to integrate new and evolving technologies into the core of the business to create and market cost effective quality healthcare solutions and remain profitable. MedTech leaders might consider adopting the motto: tempora mutantur et nos mutamur in illis.
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  • The convergence of MedTech and pharma can generate innovative combination devices that promise significant therapeutic and commercial benefits
  • Combination devices such as advanced drug delivery systems offer more precise, predictable and personalized healthcare
  • The global market for advanced drug delivery systems is US$196bn and growing
  • Biosensors play a role in convergence and innovative drug delivery systems
  • Roger Kornberg, Professor of Medicine at Stanford University and 2006 Nobel Prize winner for Chemistry describes the technological advances, which are shaping new medical therapies

    

The convergence of MedTech and pharma and the role of biosensors

MedTech and pharma companies are converging.
What role do biosensors play in such a convergence?
 
Traditionally, MedTech and big pharma have progressed along parallel paths. More recently, however, their paths have begun to converge in an attempt to gain a competitive edge in a radically changing healthcare landscape. Convergence leverages MedTech’s technical expertise and pharma’s medical and biological agents to develop combination devices. These are expected to significantly improve diagnosis, monitoring and treatment of 21st century chronic lifetime diseases, and thereby make a substantial contribution to an evolving healthcare ecosystem that demands enhanced patient outcomes, and effective cost-containment.
 

Conventional diagnostics & drug delivery

Conventional in vitro diagnostics for common diseases are costly, time-consuming, and require centralized laboratories, experienced personnel and bulky equipment. Standard processes include the collection and transportation of biological samples from the point of care to a centralized laboratory for processing by experienced personnel. After the results become available, which usually takes days, the laboratory notifies doctors, who in turn contact patients, and modify their treatments as required. Conventional modes of treatment have mainly consisted of simple, fast-acting pharmaceuticals dispensed orally or as injectables. Such limited means of drug delivery slows the progress of drug development since most drugs are formulated to accommodate the conventional oral or injection delivery routes. Concerns about the quantity and duration of a drug’s presence, and its potential toxic effect on proximal non-diseased tissue drives interest in alternative drug delivery systems and fuels the convergence of MedTech and pharma.



The end of in vitro diagnostics

Roger Kornberg, Professor of Medicine at Stanford University, reflects on the limitations of conventional in vitro diagnostics, and describes how technological advances facilitate rapid point-of-care diagnostics, which are easier and cheaper:

 
 
Converging interest
 
Illustrative of the MedTech-pharma convergence is Verily's (formerly Google Life Sciences) partnership with Novartis to develop smart contact lenses to correct presbyopia, (age-related farsightedness), and for monitoring diabetes by measuring glucose in tears. Otsuka’s, partnership with Proteus Digital Health is another example. This venture expects to develop an ingestible drug adherence device. Proteus already has a FDA-approved sensor, which measures medication adherence. Otsuka is embedding the Proteus’s sensor, which is the size of a sand particle, into its medication for severe mental illnesses in order to enhance drug adherence, which is a serious problem. 50% of prescribed medication in the US is not taken as directed, resulting in unnecessary escalation of conditions and therapies, higher costs to health systems, and a serious challenge for clinical studies.

Drivers of change

The principal drivers of MedTech-pharma convergence include scientific and technological advances, ageing populations, increased chronic lifestyle diseases, emerging-market expansion, and developments in therapies. All have played a role in changing healthcare demands and delivery landscapes. Responding to these changes, both MedTech and pharma have continued to emphasize growth, while attempting to enhance value for payers and patients. This has resulted in cost cutting, and a sharper focus on high-performing therapeutics. It has also fuelled MedTech-pharma convergence and the consequent development of combination devices. According to Deloitte’s 2016 Global Life Science Outlook, combination devices “will likely continue to rapidly increase in number and application”.

MedTech’s changing business model
 
Over the past two decades, MedTech has been challenged by tighter regulatory scrutiny, and continued pressure on healthcare budgets, but advantaged by technological progress, which it has embraced to create new business models. This has been rewarded by positive healthcare investment trends. Over a similar period, pharma has been challenged by the expiry of its patents, advances in molecular science, and changing demographics, but buoyed by increased healthcare spending trends, although the forces that increase health costs are being tempered by a demand for value.

As pharma has been increasingly challenged, so interest has increased in the potential of MedTech to address some of the more pressing healthcare demands in a radically changing healthcare ecosystem. Unlike pharma, MedTech has leveraged social, mobile, and cloud technologies to develop new business models and innovative devices for earlier diagnoses, faster and less invasive interventions, enhanced patient monitoring, and improved management of lifetime chronic conditions.
 
Such innovations are contributing to cheaper, faster, and more efficient patient care, and shifting MedTech’s strategic focus away from curative care, such as joint replacements, to improving the quality of life for patients with chronic long-term conditions. This re-focusing of its strategy has strengthened MedTech commercially, and is rapidly changing the way in which healthcare is delivered, the way health professionals treat patients, and the way patients’ experience healthcare.
 
Josh Shachar, founder of several successful US technology companies and author of a number of patents, describes the new healthcare ecosystem and some of the commercial opportunities it offers, which are predicated on the convergence of MedTech and pharma:
 
 
The decline of big pharma’s traditional business model
 
Pharma’s one-size-fits-all traditional business model, which has fuelled its commercial success over the past century, is based on broad population averages. This now is in decline as patents expire on major drugs, and product pipelines diminish. For example, over the past 30 years the expiry of pharma’s patents cost the industry some US$240bn.

Advances in genetics and molecular biology, which followed the complete sequencing of the human genome in 2003, revolutionized medicine and shifted its focus from inefficient one-size-fits-all drugs to personalized therapies that matched patients to drugs via diagnostic tests and biomarkers in order to improve outcomes, and reduce side effects. Already 40% of drugs in development are personalized medicines, and this is projected to increase to nearly 70% over the next five years.

Today, analysts transform individuals’ DNA information into practical data, which drives drug discovery and diagnostics, and tailors medicines to treat individual diseases. This personalized medicine aims to target the right therapy to the right patient at the right time, in order to improve outcomes and reduce costs, and is transforming how healthcare is delivered and diseases managed. 

 
Personalized medicine

Personalized medicine has significantly dented pharma’s one-size-fits-all strategies. In general, pharma has been slow to respond to external shocks, and slow to renew its internal processes of discovery and development. As a result, the majority of new pharma drugs only offer marginal benefits. Today, pharma finds itself trapped in a downward commercial spiral: its revenues have plummeted, it has shed thousands of jobs, it has a dearth of one-size-fits-all drugs, and its replacement drugs are difficult-to-find, and when they are, they are too expensive.

Illustrative of the advances in molecular science that helped to destroy pharma’s traditional commercial strategy is the work of Kornberg. Here he describes an aspect of his work that is related to how biological information encoded in the genome is accessed to inform the direction of all human activity and the construction of organisms for which Kornberg received the Nobel Prize in Chemistry 2006, and created the foundations of personalized medicine:

 

  
Advanced drug delivery systems
 
Over the past 20 years, as pharma has struggled commercially and MedTech has shifted its business model, drug delivery systems have advanced significantly. Evolving sensor technologies have played a role in facilitating some of these advances, and are positioned to play an increasingly important role in the future of advanced drug delivery. According to BCC Research, the global market for advanced drug delivery systems, which increase bioavailability, reduce side effects, and improve patient compliance, increased from US$134bn in 2008 to some US$196bn in 2014.
 
The growth drivers for innovative drug delivery systems include recent advances of biological drugs such as proteins and nucleic acids, which have broadened the scope of therapeutic targets for a number of diseases. There are however, challenges.

 

Proteins are important structural and functional biomolecules that are a major part of every cell in your body. There are two nucleic acids: DNA and RNA. DNA stores and transfers genetic information, while RNA delivers information from DNA to protein-builders in the cells.


For instance, RNA is inherently unstable, and potentially immunogenic, and therefore requires innovative, targeted delivery systems. Such systems have benefitted significantly from progress in biomedical engineering and sensor technologies, which have enhanced the value of discoveries of bioactive molecules and gene therapies, and contributed to a number of new, advanced and innovative combination drug delivery systems, which promise to be more efficacious than conventional ones. 
 
Biosensors
 
The use of biosensors in drug delivery system is not new. The insulin pump is one example. Introduced in its present form some 30 years ago, the insulin pump is a near-physiologic programmable method of insulin delivery that is flexible and lifestyle-friendly.

Biosensors are analytical tools, which convert biological responses into electrical signals. In healthcare, they provide analyses of chemical or physiological processes and transmit that physiologic data to an observer or to a monitoring device. Historically, data outputs generated from these devices were either analog in nature or aggregated in a fashion that was not conducive to secondary analysis. The latest biosensors are wearable and provide vital sign monitoring of patients, athletes, premature infants, children, psychiatric patients, people who need long-term care, elderly, and people in remote regions. 
 
Increased accuracy and speed
 
The success of biosensors is associated with their ability to achieve very high levels of precision in measuring disease specific biomarkers both in vitro and in vivo environments. They use a biological element, such as enzymes, antibodies, receptors, tissues and microorganisms capable of recognizing or signalling real time biochemical changes in different inflammatory diseases and tumors. A transducer is then used to convert the biochemical signal into a quantifiable signal that can be transmitted, detected and analysed, and thereby has the potential, among other things, for rapid, accurate diagnosis and disease management.
 
Recent technological advances have led to the development of biosensors capable of detecting the target molecule in very low quantities and are considered to have enhanced capacity for increased accuracy and speed of diagnosis, prognosis and disease management. Biosensors are robust, inexpensive, easy to use, and more importantly, they do not require any sample preparation since they are able to detect almost any biomarker  - protein, nucleic acid, small molecule, etc. - within a pool of other bimolecular substances. Recently, researchers have developed various innovative strategies to miniaturize biosensors so that they can be used as an active integral part of tissue engineering systems and implanted in vivo.

 
Market for biosensors
 
Over the past decade, the market in biosensors and bioinformatics has grown; driven by advances in artificial intelligence (AI), increased computer power, enhanced network connectivity, miniaturization, and large data storage capacity.

Today, biosensors represent a rapidly expanding field estimated to be growing at 60% per year, albeit from a low start. In addition to providing a critical analytical component for new drug delivery systems, biosensors are used for environmental and food analysis, and production monitoring. The estimated annual world analytical market is about US$12bn, of which 30% is in healthcare. There is a vast market expansion potential for biosensors because less than 0.1% of the analytical market is currently using them.

A significant impetus of this growth comes from the healthcare industry, where there is increasing demand for inexpensive and reliable sensors across many aspects of both primary and secondary healthcare. It is reasonable to assume that a major biosensor market will be where an immediate assay is required, and in the near-term patients will use biosensors to monitor and manage treatable lifetime conditions, such as diabetes cancer, and heart disease.

The integration of biosensors with drug delivery
 
The integration of biosensors with drug delivery systems supports improved disease management, and better patient compliance since all information in respect to a person’s medical condition may be monitored and maintained continuously. It also increases the potential for implantable pharmacies, which can operate as closed loop systems that facilitate continuous diagnosis, treatment and prognosis without vast data processing and specialist intervention. A number of diseases require continuous monitoring for effective management. For example, frequent measurement of blood flow changes could improve the ability of health care providers to diagnose and treat patients with vascular conditions, such as those associated with diabetes and high blood pressure. Further, physicochemical changes in the body can indicate the progression of a disease before it manifests itself, and early detection of illness and its progression can increase the efficacy of therapeutics.
 
Takeaways

Combination devices, which are triggered by the convergence of MedTech and pharma, offer substantial therapeutic and commercial opportunities. There is significant potential for biosensors in this convergence. The importance of biosensors is associated with their operational simplicity, higher sensitivity, ability to perform multiplex analysis, and capability to be integrated into different functions using the same chip. However, there remain non-trivial challenges to reconcile the demands of performance and yield to simplicity and affordability.
 
 
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  • Healthcare systems throughout the world are in constant crisis
  • Attempts to introduce digital infrastructure to improve the quality of care, efficiency, and patient outcomes have failed
  • Modern healthcare systems were built on the idea that doctors provide healthcare with meaning and power, but this is changing
  • Advances in genetics and molecular science are rapidly eating away at doctors’ discretion and power
  • People are loosing their free will and increasingly being driven by big data strategies
  • An important new book suggests that a biotech-savvy elite will edit people's genomes and control health and healthcare with powerful algorithms, and that people will merge with computers
  • Homo sapiens will evolve into Homo Deus
 
Future healthcare shock
 
This book should be compulsory reading for everyone interested in health and healthcare, especially those grappling with strategic challenges. Homo Deus: A brief history of tomorrow, by Yuval Harari, a world bestselling author, published in 2016 is not for tacticians responding to their in-trays, but for healthcare strategists planning for the future.

The book is published a year after an OECD report concluded that NHS England is one of the worst healthcare systems in the developed world; hospitals are so short-staffed and under-equipped that people are dying needlessly. The quality of care across key health areas is “poor to mediocre”, obesity levels are “dire”, and the NHS struggles to get even the “basics” right. The UK came 21st out of 23 countries on cervical cancer survival, 20th on breast and bowel cancer survival and 19th on stroke.


Harari pulls together history, philosophy, theology, computer science and biology to produce an important and thought provoking thesis, which has significant implications for the future of health and healthcare. Homo Deus, more than the 2015 OECD Report will make you think.
 
Healthcare’s legacy systems an obstacle for change

While a large and growing universe of consumers regularly use smartphones, cloud computing, and global connectivity to provide them with efficient, high quality, 24-hour banking, education, entertainment, shopping, and dating, healthcare systems have failed to introduce digital support strategies to enhance the quality of care, increase efficiency, and improve patient outcomes.

Why?

The answer is partly due to entrenched legacy systems, and partly because digital support infrastructure is typically beyond the core mission of most healthcare systems. Devi Shetty, cardiac surgeon, founder and CEO of Narayana Health, and philanthropist, laments how digital technologies have, “penetrated every industry in the world except healthcare”, and suggests doctors and the medical community are the biggest obstaclesto change.
 
 
Doctors’ traditional raison d'être is being replaced by algorithms

Notwithstanding, modern medicine has conquered killer infectious diseases, and has successfully transformed them, “from an incomprehensible force of nature into a manageable challenge . . . For the first time in history, more people die today from old age than from infectious diseases,” says Harari.
 
Further, modern healthcare systems were built on the assumption that individual doctors provided healthcare systems with meaning and power. Doctors are free to use their superior knowledge and experience to diagnose and treat patients; their decisions can mean life or death. This endowed doctors and healthcare systems with their monopoly of power and their raison d'être. But such power and influence is receding, and rapidly being replaced by biotechnology and algorithms.

 
Healthcare systems in crisis

This radical change adds to the crisis of healthcare systems, which lack cash, and have a shrinking pool of doctors treating a large and growing number of patients, an increasing proportion of whom are presenting with complicated co-morbidities. Aging equipment in healthcare systems is neither being replaced nor updated, and additionally, there is a dearth of digital infrastructure to support patient care.
  
A symptom of this crisis is the large and increasing rates of misdiagnosis: 15% of all medical cases in developed countries are misdiagnosed, and according to The Journal of Clinical Oncology, a staggering 44% of some types of cancers are misdiagnosed, resulting in millions of people suffering unnecessarily, thousands dying needlessly, and billions of dollars being wasted. Doing more of the same will not dent this crisis.
 
Computers replacing doctors
 
As the demand for healthcare increases, healthcare costs escalate, and the supply of doctor’s decrease, so big data strategies and complex algorithms, which in seconds are capable of analysing and transforming terabytes of electronic healthcare data into clinically relevant medical opinions, are being introduced.
 
Such digital infrastructure erodes the status of doctors who no longer are expected solely to rely on their individual knowledge and experience to diagnose and treat patients. Today, doctors have access to powerful cognitive computing systems that understand, reason, learn, and do more than we ever thought possible. Such computers provide doctors almost instantaneous clinical recommendations deduced from the collective knowledge gathered from thousands of healthcare systems, billions of patient records, and millions of treatments other doctors have prescribed to people presenting similar symptoms and disease states. Unlike doctors, these computers never wear out, and can work 24-7, 365 days a year.
 
The train has left the station

One example is IBM’s Watson, which is able to read 40 million medical documents in 15 seconds, understand complex medical questions, and identify and present evidence based solutions and treatment options. Despite the resistance of doctors and the medical establishment the substitution of biotechnology and algorithms for doctors is occurring in healthcare systems throughout the world, and cannot be stopped. “The train is again pulling out of the station . . . . Those who miss it will never get a second chance”. For healthcare systems to survive and prosper in the 21st century is to understand and embrace “the powers of biotechnology and algorithms”. People and organizations that fail to do this will not survive, says Harari.
 
The impact of evolutionary science on healthcare systems

Roger Kornberg, Professor of Medicine at Stanford University who won the 2006 Nobel Prize in chemistry, "for his studies of the molecular basis of eukaryotic transcription", describes how human genome sequencing and genomics have fundamentally changed the way healthcare is organized and delivered. “Genomic sequencing enables us to identify every component of the body responsible for all life processes. In particular, it enables the identification of components, which are either defective or whose activity we may wish to edit in order to improve a medical condition,” says Kornberg.



 
The new world of ‘dataism’

Harari’s “new world” describes some of the implications of Kornberg’s discoveries, and suggests that evolutionary science is rapidly eroding doctors’ discretion and freewill, which are the foundation stones of modern healthcare systems and central to a doctors’ modus vivendi. Because evolutionary science has been programmed by millennia of development, our actions tend to be either predetermined or random. This results in the uncoupling of intelligence from consciousness and the “new world” as data-driven transformation, which Harari suggests is just beginning, and there is little chance of stopping it.
 
Over the past 50 years scientific successes have built complex networks that increasingly treat human beings as units of information, rather than individuals with free will. We have built big-data processing networks, which know our feelings better than we know them ourselves. Evolutionary science teaches us that, in one sense, we do not have the degree of free will we once thought. In fact, we are better understood as data-processing machines: algorithms. By manipulating data, scientists such as Kornberg, have demonstrated that we can exercise mastery over creation and destruction. The challenge is that other algorithms we have built and embedded in big data networks owned by organizations can manipulate data far more efficiently than we can as individuals. This is what Harari means by the “uncoupling” of intelligence and consciousness.
 
We are giving away our most valuable assets for nothing

Harari is not a technological determinist: he describes possibilities rather than make predictions. His thesis suggests that because of the dearth of leadership in the modern world, and the fact that our individual free-will is being replaced by data processors, we become dough for the Silicon Valley “Gods” to shape.
 
Just as African chiefs in the 19th Century gave away vast swathes of valuable land, rich in minerals, to imperialist businessmen such as Cecil Rhodes, for a handful of beads; so today, we are giving away our most valuable possessions  - vast amounts of personal data - to the new “Gods” of Silicon Valley: Amazon, Facebook, and Google for free. Amazon uses these data to tell us what books we like, and Facebook and Google use them to tell us which partner is best suited for us. Increasingly, big-data and powerful computers, rather than the individual opinion of doctors, drive the most important decisions we take about our health and wellbeing. Healthcare systems will cede jobs and decisions to machines and algorithms, says Harari.
 
Takeaways

For the time being, because of the entrenched legacy systems, health providers will continue to pay homage to our individuality and unique needs. However, in order to treat people effectively healthcare systems will need to “break us up into biochemical subsystems”, and permanently monitor each subgroup with powerful algorithms. Healthcare systems that do not understand and embrace this new world will perish. Only a relatively few early adopters will reap the rewards of the new technologies. The new elite will commandeer evolution with ‘intelligent’ design, edit peoples’ genomes, and eventually merge individuals with machines. Thus, according to Harari, a new elite caste of Homo sapiens will evolve into Homo Deus. In this brave new world, only the new “Gods”, with access to the ultimate source of health and wellbeing will survive, while the rest of mankind will be left behind.

Harari does not believe this new health world is inevitable, but implies that, in the absence of effective leadership, it is most likely to happen.

 
 
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The next ‘big thing’ in healthcare . . . . is IT, which will dramatically change the way health professionals interact with patients. Every step of a patient’s care will be determined by protocols on a hand-held device. This will make healthcare safer and shift many hospital activities into the home,” says Dr Devi Shetty, world-renowned heart surgeon, founder and chairman of Narayana Health, India’s largest multi-purpose hospital group and the person said to have, “the biggest impact on healthcare on the 21st century”.

Shetty also warns that, “Despite the advantages of such technologies, the medical community is reluctant to accept them.

Although doctors and patients have iPads and smartphones and use social networks, the healthcare community, “fights like mad to resist change”, and fails to embrace life-saving technologies, which would improve patient care and reduce costs.

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