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  • Healthcare is shifting from uniform treatments to personalised care, driven by genetics, lifestyle, and technology
  • Patients benefit from targeted therapies that deliver early disease detection, enhanced therapies and proactive prevention
  • Traditional MedTechs, accustomed to one-size-fits-all devices, face challenges but also can find opportunities from individualised care for growth and innovation
  • To capitalise on these opportunities, conventional corporations must recalibrate their strategies and collaborate with start-ups and healthcare institutions
 
The Impact of Personalised Healthcare on Traditional MedTechs

Personalised medicine, also known as precision medicine, marks a departure from traditional medical practices by acknowledging the interplay of genetics, lifestyle, and environment in shaping an individual's health. Rather than adhering to one-size-fits-all treatments, individualised care prioritises early detection and proactive prevention, tailoring interventions based on each patient's unique genetic makeup. Digitalisation, together with advances in medical technology, enables the combination and analysis of genomic information with other diagnostic data to identify patterns that help to determine an individual’s risk of developing a disease, detect illness earlier, and determine the most effective interventions. For example, in cancer treatment, personalised therapies target specific proteins driving cancer growth, offering more effective alternatives to conventional methods like customary chemotherapy. Findings of a 2012 study published in Trends in Molecular Medicine found that the response rate to a targeted therapy for acute myeloid leukaemia to be at 90% compared with 35% for standard chemotherapy. Another notable development in customised care is the DNA medication pass, which enables clinicians to identify the most suitable drugs for individual patients, reducing adverse reactions and hospital admissions due to drug-related complications. Such personalised approaches empower patients with treatments aligned to their genetic predispositions and foster greater autonomy and engagement in healthcare decisions.

In today's data-driven environment, the emphasis on precision care is growing, and creating a shift in healthcare delivery. A recent research paper published in the Journal of Translational Medicine suggests that personalised medicine will lead to the next generation of healthcare by 2030. While many traditional medical technology companies are content with supplying standardised medical devices to hospitals, an increasing number wish to pivot and capitalise on the rapidly growing targeted healthcare segment. However, they face the challenge of adapting their established frameworks, which are not designed to create bespoke solutions and services. This emphasises the significance of adaptability across diverse healthcare settings. Forward-thinking corporations, however, recognise the need to evolve. By investing in novel R&D initiatives and fostering collaboration throughout the healthcare spectrum, they position themselves favourably. Conversely, companies resistant to change risk stagnation and eventual obsolescence in an era where personalised care is rapidly gaining traction.

 
In this Commentary

This Commentary delves into the impact of personalised healthcare on traditional MedTech companies, highlighting the imperative for alignment with customised care to remain competitive. It explores how targeted medicine, driven by advancements in genetics, digitalisation, and medical technology, is reshaping healthcare delivery by prioritising individualised treatments tailored to patients' unique genetic makeup. The Commentary emphasises the need to adapt conventional strategies amidst industry trends, addressing challenges such as regulatory complexities and technology adoption barriers. Through initiatives like partnerships, novel R&D, diversification, and strategic M&A, traditional MedTechs can position themselves to lead in the era of precision care. The Commentary offers examples of start-ups and established firms addressing this segment, insights into the opportunities and challenges traditional companies face in adapting to the growing emphasis on personalised healthcare, and emphasises the importance of innovation, collaboration, and proactive responses to industry shifts.
 
Brief History

The roots of personalised healthcare can be traced back to ancient civilisations where healers recognised individual differences in response to treatments. However, formalised concepts began to emerge in the late 19th and early 20th centuries with the advent of modern medicine. The discovery of the structure of DNA by James Watson and Francis Crick in 1953 laid the foundation for understanding the role of genetics in health and disease. Advances in DNA sequencing technologies in the late 20th century, particularly the completion of the Human Genome Project in 2003, enabled scientists to decipher the entire human genetic code, ushering in the genomic era.
 
In the late 20th century, researchers began to explore how genetic variations influence an individual's response to drugs. Pharmacogenomics emerged as a field focused on tailoring drug treatments to a person's genetic makeup, aiming to maximise efficacy and minimise adverse effects. Rapid advancements in technology, such as next-generation sequencing and high-throughput screening, have made it more feasible and cost-effective to analyse large amounts of genetic data. This has accelerated research in tailored therapies and expanded their application beyond pharmacogenomics to include risk assessment, disease diagnosis, and treatment selection.
As we suggested, one of the earliest and most successful applications of customised healthcare has been in oncology. Precision oncology uses genomic profiling to identify genetic mutations driving cancer growth and matches patients with targeted therapies designed to address their specific mutations. The success stories in treating certain cancers, such as leukaemia and melanoma have fuelled further interest and investment in personalised approaches.
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Healthcare 2040


 
The rise of big data analytics and artificial intelligence (AI) has been instrumental in advancing targeted care. By integrating genetic, clinical, lifestyle, and environmental data, AI algorithms can identify patterns, predict disease risks, and recommend precise interventions targeted to an individual’s unique profile. Governments have recognised the potential of these approaches to improve patient outcomes and reduce healthcare costs. Endeavours such as the Precision Medicine Initiative in the US, the NHS Long Term Plan in the UK, and similar efforts in other countries aim to accelerate the adoption of customised medicine. As technology continues to evolve and our understanding of genetics and biology deepens, personalised healthcare is poised to become increasingly integral to mainstream medical practice, ultimately leading to better health outcomes.
 
Challenges and Barriers to Personalised Care

Customised medicine, while promising, faces challenges. One hurdle lies in the complexity and sheer volume of data required to tailor treatments to individual patients. Integrating diverse datasets from genomics, medical history, lifestyle factors, and environmental influences demands sophisticated analytics and robust privacy safeguards. Additionally, interoperability issues between different healthcare systems impede data exchange and collaboration among healthcare providers. Economic constraints further obstruct widespread adoption, as customised therapies often come with hefty price tags, limiting access for many patients. Regulatory frameworks must also evolve to accommodate the dynamic nature of tailored medicine, ensuring rigorous oversight without stifling innovation. Moreover, educating healthcare professionals and patients about the benefits and limitations of personalised approaches is essential for fostering trust and acceptance. Overcoming these challenges demands interdisciplinary collaboration, technological advancements, and a commitment to equitable access to focussed healthcare.
 
The Changing Landscape of Traditional MedTechs

Despite these challenges, the growing emphasis on personalised care represents a shift in traditional MedTech markets. Although the precise timeline for tailored therapies to substantially influence conventional corporations remains uncertain, the trend signals a clear direction for the industry. The International Consortium for Personalised Medicine (ICPerMed) envisions a healthcare landscape firmly rooted in customised medicine principles by 2030. This vision entails an ecosystem where individual characteristics inform diagnostics, treatments, and preventive measures, resulting in heightened effectiveness and economic value, all while ensuring equitable access for all individuals.
 
Historically, MedTech markets have exhibited a degree of reluctance in adopting new technologies, offering some comfort to conventional leaders in the field. However, the insights provided by the ICPerMed research should serve as a catalyst for traditional enterprises to re-evaluate their strategies and product offerings if they intend to capitalise on the growing trend of customised care. Notably, investments in innovative technologies that facilitate precision diagnostics, targeted therapies, and patient-centric interventions have already proven effective and are on the rise.
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Unleashing MedTech's Competitive Edge through Transformational Technologies
Furthermore, the integration of data analytics and remote monitoring capabilities is reshaping the dynamics among medical devices, patients, and healthcare providers. This integration fosters enhanced connectivity and delivers real-time insights, thereby helping to transform the healthcare ecosystem. As tailored care gains momentum, traditional corporations must embrace agility, collaboration, and an understanding of patient preferences to thrive. This necessitates a proactive re-evaluation of their strategies.
Healthcare Firms Leading the Shift Towards Personalised Care

Many early-stage MedTech companies and established healthcare firms are leveraging evolving technologies and data to meet the growing demand for personalised healthcare. Omada Health, for instance, offers a platform combining connected devices and data analytics to help manage chronic conditions through tailored lifestyle interventions. iRhythm Technologies' Zio patch, a wearable cardiac monitor, uses advanced algorithms to detect heart conditions more accurately. Butterfly Network's Butterfly iQ is the first smartphone-connected whole-body ultrasound system, enhancing imaging quality and diagnostic capabilities through AI. Mature enterprises like AliveCor and Fitbit, now part of Google, have also pivoted to tailored healthcare. AliveCor’s  KardiaMobile provides at-home ECGs and shares data for customised treatment plans, while Fitbit offers devices with advanced health monitoring features and personalised wellness programmes. Dexcom's G6 CGM System provides real-time glucose tracking integrated with health data platforms. Roche has shifted towards customised healthcare with digital health solutions like the Roche Diabetes Care platform and the NAVIFY Tumor Board for personalised cancer treatments. 23andMe, initially known for genetic testing, now partners with pharmaceutical companies for drug discovery and develops tailored treatment plans based on genetic data.
 
Transforming MedTech in the Era of Personalised Care

The healthcare industry is undergoing a transformation marked by a shift towards patient-centric care and the adoption of value-based healthcare models. This shift is driving increased collaboration among traditional MedTech firms, healthcare providers, and emerging players, all united in their goal to innovate and tackle the complex challenges facing healthcare today. Regulatory changes and technological advancements also are playing roles in reshaping the competitive landscape, guiding the industry towards more patient-centred, value-driven, and collaborative approaches. In response to these evolving dynamics, MedTech companies are transforming their product development strategies by embracing agile and interdisciplinary approaches. Leveraging digital technologies, they are adapting to changing demands through virtual testing, data-driven design optimisation, and rapid prototyping.
 
The move towards personalised care is not only transforming product development strategies but also reshaping business models within the MedTech industry. There is a growing emphasis on outcome-based pricing and service-oriented solutions, reflecting the industry's focus on delivering measurable results and comprehensive care experiences. Digital health platforms and software-as-a-service (SaaS) offerings are emerging as key drivers of revenue, highlighting the importance of innovation and customer engagement in staying competitive and relevant.
 
Amid these transformations, regulatory and compliance considerations are crucial. Regulatory frameworks are becoming more stringent, emphasising product safety, efficacy, and data privacy. Compliance with varying standards across geographies is essential for market access, requiring companies to navigate these landscapes skilfully to sustain growth. Regulatory bodies are also evolving to tackle emerging challenges like cybersecurity and interoperability, highlighting the need for effective regulatory management in today's MedTech ecosystem. Addressing these challenges demands collaboration among stakeholders to build trust, promote standards, and ease the adoption of innovative technologies. Only through concerted efforts can the industry overcome these obstacles and fully realise the potential of customised care in transforming healthcare delivery.
 
Adaptation Strategies for Traditional MedTech Companies

To strengthen their alignment with personalised healthcare, traditional MedTechs can adopt several strategies. One effective approach, which, in a previous Commentary, we referred to as the Third Way, involves forming partnerships and collaborations with start-ups, research institutions, or other industry players. Through these partnerships, corporations can gain access to novel technologies, broaden their market reach, and expedite the pace of innovation. Additionally, diversification emerges as another adaptation strategy, enabling companies to venture into adjacent markets or therapeutic areas. This not only helps in mitigating risks but also enables them to capitalise on emerging opportunities within the healthcare landscape. Furthermore, many traditional corporations opt for M&A to bolster their market position, acquire specialised capabilities, or tap into new customer segments. Collectively, these strategies empower traditional corporations to navigate industry transitions towards customised care, foster sustained growth, and uphold their competitive edge.
 
Takeaways
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This Commentary highlights the need for companies to re-evaluate their strategies in response to the industry's shift toward personalised care, a force shaping the future of healthcare delivery. It suggests traditional enterprises should proactively address challenges such as regulatory compliance, data security, and technological adoption barriers. Yet, within these challenges lie significant opportunities for growth and innovation. By pursuing strategic partnerships, investing in R&D, diversifying, and engaging in M&A, corporations can lead in the era of customised care, influencing healthcare's trajectory. Despite obstacles, the outlook for traditional enterprises is promising, driven by technological advancements and global healthcare demands. Success, however, depends on their agility, resilience, and proactive adaptation to the evolving landscape. By leveraging innovation and fostering collaboration, traditional MedTechs can navigate complexity and continue to drive positive transformation within the industry.
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  • MedTechs traditionally prioritise M&A over in-house R&D yielding size without always improving quality
  • Amidst healthcare's rapid evolution, companies must explore new avenues for growth and staying competitive
  • Embracing a Third Way, MedTechs can invest in start-ups to access disruptive technologies, mitigate risks, foster growth, and competitive advantage
 
A Third Way Growth Strategy for MedTechs
 
MedTech industry leaders must welcome fresh ideas to maintain their competitive edge and ensure ongoing growth. However, the conventional avenues of development, such as merger and acquisitions (M&A) and in-house research and development (R&D), often encounter obstacles that diminish their effectiveness. As the industry advances, companies face the dual challenge of adopting new technologies while breaking down entrenched organisational barriers. In an era marked by transformative breakthroughs and turbulent market forces, adaptability and innovation are indispensable drivers of success.
 
The line separating established enterprises from agile newcomers has blurred, paving the way for potential collaboration and strategic investment. To excel in this environment, traditional MedTechs should consider recalibrating their conventional growth strategies. Rather than solely relying on M&A or low-risk tweaks to in-house R&D, they should explore a Third Way: investing in and collaborating with a range of innovative start-ups. Giant MedTech have been doing this for decades and reaping the benefits of nascent enterprises, fuelled by high-energy talent, leveraging novel technologies, and offering a fresh approach to growth and value creation.
 
Collaborating with early-stage entities empowers traditional firms to foster a culture of innovation and adaptability, thereby improving patient outcomes and strengthening healthcare systems to thrive in an era of unprecedented change. Effectively managing inventiveness becomes imperative for traditional MedTech companies to successfully navigate the evolving healthcare ecosystem.

 
In this Commentary

This Commentary emphasises the importance for MedTechs to define a clear strategic path in response to the challenges posed by rapid technological advancements, geopolitical shifts, and advancing market dynamics. We propose a Third Way that moves beyond conventional strategies of M&A and internal R&D. We advocate for investment in a varied portfolio of innovative early-stage enterprises focused on developing disruptive healthcare solutions and services. This approach aims to avoid the drawbacks associated with conventional growth strategies and set up MedTechs for long-term growth and improved competitiveness.
 
Challenges of M&A

For more than four decades, the MedTech industry has predominantly relied on M&A as its primary growth strategy, which, over time led to the financialisaton of the industry. Larger conglomerates emerged, but their size does not always translate into enhanced patient outcomes or improved operational efficiency. This pattern emphasises a tendency where short-term financial objectives frequently overshadow longer-term strategies focused on quality systems, organisational structure, and talent within the acquired companies.
In many instances, early-stage enterprises have deficiencies in their operational and human resource systems. These weaknesses are frequently overlooked or insufficiently addressed during the integration phase. While the repercussions of such oversight might not be readily apparent, they tend to surface over time, potentially hindering growth.
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The Financialization Dilemma of MedTechs

 
The fallout from prioritising financial integration strategies can jeopardise the long-term viability of the merged entity and hamper its ability to innovate and adapt to shifting market dynamics. Successfully merging disparate corporate cultures, technological platforms, and operational processes requires meticulous planning and execution across all facets of the integration process. Neglecting to allocate adequate time and resources to address these non-financial aspects can lead to disruptions in workflow, employee discontent, and diminished performance.
 
Moving forward, corporations might consider adopting a more balanced approach to growth, one that not only factors in financial gains but also prioritises the assimilation of quality systems, organisational coherence, and human capital to ensure sustained success. Strategic complacency seems to be present in many large entities, and associated with an excessive dependence on conventional M&A for growth can dampen internal innovation.
 
Challenges of In-House R&D

Traditional MedTechs encounter challenges when considering disruptive in-house R&D endeavours. The inherent risks, coupled with resource constraints, often dissuade many traditional companies from pursuing innovative avenues of development. Also, complex regulatory environments present hurdles that require expertise, investment, and stringent compliance measures. The infrastructural needs for integrating new technologies exacerbate the situation, necessitating updates to current manufacturing facilities, supply chains, and distribution networks. These conditions emphasise the demanding nature of pursuing innovative R&D in-house. 

The demands of sales and marketing add additional complexity to internal development initiatives. New offerings require educating healthcare providers and consumers regarding their benefits, alongside developing specialised sales teams and tailored marketing strategies aligned with the product's unique demands. Incentivising sales teams to prioritise new offerings over established ones can be testing, which reinforces the hesitation of traditional MedTechs to pursue disruptive R&D projects.

 
A culture of risk aversion often prevails within traditional firms, leading to a reluctance to depart from established business models and technologies. This is reinforced by corporate structures that highlight stability and predictability over innovation and agility. Executives may hesitate to invest in ground-breaking R&D projects, opting instead for incremental improvements to existing devices. The allure of legacy products, despite their age and slow growth rates, provides a sense of security that dissuades corporations from exploring new technologies.
 
A Third Way

A Third Way for achieving growth and competitiveness, involves investing in innovative early-stage enterprises. Start-up culture thrives on creativity, fuelled by agility, entrepreneurial spirit, and a focus on disruptive solutions. Unlike traditional MedTechs, new ventures are free from the constraints of legacy systems, which enables them to take bold risks and explore new ideas. The collaborative culture of emerging businesses frequently attracts top talent from diverse disciplines, promoting interdisciplinary cooperation and fresh perspectives. This convergence of talent, flexibility, and risk-taking propels start-ups to the forefront of progress, extending the boundaries of what is achievable and contributing to transformative change in healthcare delivery and patient outcomes.
 
Engagement with entrepreneurial businesses warrants larger companies access to cutting-edge technologies while mitigating risk across a portfolio of ventures. Investment in early-stage entities opens avenues for collaboration, partnership, and potential acquisitions, enabling traditional firms to capitalise on emerging trends to maintain and enhance their competitiveness. Overall, embracing a broad-based investment strategy in start-ups represents a prudent approach for traditional MedTechs aiming to reconcile progress with risk.
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Supporting a variety of new ventures that are developing novel products through off-balance sheet investments presents a strategic advantage for traditional corporations. This approach allows them to access advancements without immediately bearing the financial burden of traditional acquisitions, thereby preserving their financial flexibility, and safeguarding their core business. 
By providing tax benefits and mitigating the impact on financial ratios, these commitments contribute to the overall financial wellbeing of the company. Additionally, they facilitate low-risk incremental acquisitions. As start-ups mature and demonstrate success, traditional enterprises can acquire them, leveraging their initial investment and minimising the risk associated with unproven technologies. This model fosters an ecosystem where new entrepreneurial entities thrive with support from established players.
 
Investing in emerging businesses for MedTechs extends beyond financial contributions and can include injections of expertise and knowledge. Established firms possess the capability to offer invaluable guidance and mentorship, drawing on their experience in navigating complex regulations, executing successful clinical trials, and effectively scaling manufacturing operations. By sharing their expertise and knowhow, mature companies amplify the impact of their financial stakes and strengthen their ability and reputation to drive innovation. 

 
The Potential of Venture Arms for MedTechs

The creation of venture arms by leading MedTech companies has facilitated creativity and driven commercial success. Johnson & Johnson (J&J) and Medtronic, for example, have embraced this trend with positive outcomes. J&J's venture initiative, JLabs, was initiated in 2015 in San Francisco to nurture ~50 start-ups across a spectrum of healthcare sectors, including medical devices and digital health. Since then, it has burgeoned into a dynamic ecosystem with key incubation hubs worldwide, from New York to China.
 
While J&J typically refrains from immediate investments, its strategic commitments to enterprises like Mauna Kea Technologies, Protekt Therapeutics, Cara Care, Cala Health, and Sight Diagnostics demonstrate the company's interest in nurturing entrepreneurial solutions aligned with its strategic objectives. Similarly, Medtronic's venture arm has effectively made strategic investments in a diverse array of early-stage businesses, with Axonics as a notable example. Axonics' recent (January 2023) FDA approval for its fourth-generation rechargeable sacral neuromodulation system serves as a testament to the success that can arise from such collaborative endeavours.
 
Traditional MedTech companies can take valuable lessons from industry giants such as J&J and Medtronic, especially in establishing their own venture funds to invest in a range of start-ups. This strategic manoeuvre not only provides these companies access to cutting-edge technologies and disruptive innovations that might outstrip their internal development capacities but also allows them to diversify their product portfolio and helps mitigate risks associated with reliance on a narrow range of offerings.
 
Entrepreneurial ventures often boast agility, enabling them to swiftly bring products to market, surmount bureaucratic hurdles that larger corporations may face, cultivate a culture centred on innovation within their organisations, and inspire employees to explore fresh ideas and collaborate with external partners. 
However, this can only be achieved if the MedTech market offers realistic opportunities.
 
The MedTech Start-up Market

We have argued that the MedTech start-up market holds potential for traditional companies seeking to revitalise their portfolios to maintain and increase their competitiveness. However, what are the realities of this market? Recent studies shed light on its trends and opportunities, and from these, we can judge whether such investments strategies are a viable option for mature MedTechs.

A 2017 study by the Deloitte Center for Health Solutions and AdvaMed Accel suggested that venture capital investments in early-stage MedTechs were slowing because alongside lacklustre returns, investors showed reluctance towards unproven technologies, and were deterred by regulatory and reimbursement obstacles. However, findings of a similar study repeated in 2021 paint a more promising picture. Since 2017 and the onset of the Covid-19 pandemic in 2020, venture financing in early stage MedTechs surged by ~67%, suggesting a renewed investor confidence. Notably, the bulk of investments were towards late-stage diagnostic and digital companies, highlighting a shift in investor priorities towards more mature ventures. Furthermore, alternative financing avenues such as public markets and family offices have emerged as viable options, opening new pathways for entrepreneurial endeavours. Notwithstanding, amidst this surge, seed, and Series A funding continued to decline, which poses difficulties for fledgling MedTech entities.

For traditional MedTech companies contending with aging legacy products in slow-moving markets, bridging the funding gap presents an opportunity to enhance their growth prospects and strengthen their competitive position. As we have asserted, beyond financial backing, start-ups often seek guidance on regulatory navigation, clinical studies, intellectual property, and reimbursement procedures. Leveraging their wealth of experience and established networks, large firms are ideally situated to provide such valuable insights and support to emerging ventures. 

 
Takeaways

By strategically committing to a diverse range of start-ups, traditional firms bolster their capacity to navigate the complexities of the technology ecosystem. This proactive stance not only positions enterprises to shape the future of healthcare but also augments their prospects for sustained growth and competitiveness in an industry experiencing rapid evolution.
 
Collaborating with emerging businesses at the forefront of technological development empowers large corporations to respond adeptly to market dynamics and drive progress. Such strategic engagement reinforces their relevance in the market, fosters a culture of cooperation and improvement across the healthcare continuum, strengthens traditional enterprises' competitive edge and ensures their long-term viability.
 
The entrepreneurial spirit inherent in start-ups can rejuvenate the development pipelines of traditional MedTechs, enhancing their decision-making and cultivating an environment of creativity conducive to growth. Establishing a fund to invest in start-ups helps to reduce risk and maximise returns, thus protecting corporations against potential disruptions. Adaptation is crucial for survival, and the approach outlined in this Commentary provides traditional companies reliant on legacy offerings with an opportunity to adapt and thrive, reaffirming their relevance in an era characterised by constant change.
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  • Healthcare is flooded with diverse data from multiple sources, including imaging, genomic sequences, lifestyle factors, and clinical records
  • The volume and diversity of healthcare data pose challenges for medical practitioners and hinder the delivery of quality care
  • Relying solely on healthcare professionals to manage this diverse data is impractical
  • Multimodal AI can amalgamate, analyse, and utilise complex healthcare data, offering transformative potential across delivery systems
  
Transforming Healthcare with Multimodal AI

On April 1, 2024, Peter Arduini, President, and CEO of GE Healthcare, announced the acquisition of MIM Software, a leading provider of medical imaging analysis and artificial intelligence (AI) solutions in fields such as radiation oncology, molecular radiotherapy, diagnostic imaging, and urology, serving diverse healthcare settings worldwide. "We are excited to welcome MIM Software, recognised for its innovation in multimodal image analytics and workflow," said Arduini.
 
Multimodal AI

Multimodal AI is at the forefront of modern methodologies, synthesising diverse AI technologies to concurrently interpret various data types, a capability commonly referred to as handling multiple modalities. This approach has the potential to transform processes and enhance patient care. In today's healthcare environment, the emergence of multimodal AI signifies a leap forward, particularly within medical technology. The inundation of data from various sources such as imaging, time series, genomic sequences, lifestyle factors, and clinical records pose a challenge for individual healthcare professionals to merge and interpret. The expectation for clinicians to proficiently manage and utilise such diverse datasets alongside their primary medical specialisation is unrealistic. Multimodal AI offers a solution. Tailored for medical applications, it harnesses the power of sophisticated algorithms and machine learning techniques, to integrate and interpret disparate data streams. By doing so, the technology furnishes healthcare providers with insights and actionable intelligence, thus empowering them to make informed decisions and drive improved patient outcomes.
 
In this Commentary

This Commentary explores the complexities of healthcare data, encompassing a broad spectrum from imaging to clinical records. Multimodal AI emerges as a pragmatic solution, harmonising disparate data sources to provide insights and streamline healthcare delivery. The recent acquisition of MIM Software by GE Healthcare underscores the increasing significance of this approach. Through a historical lens, we examine the evolution of multimodal AI and its progress in deciphering various data formats. In healthcare contexts, multimodal AI has the potential to transform patient care by combining data to formulate personalised diagnoses and treatment strategies. In tackling data complexities, the technology equips healthcare professionals with efficient tools for managing intricate datasets. Furthermore, its adoption yields tangible benefits for MedTech companies by expediting innovation cycles and enhancing operational efficiency. Ultimately, multimodal AI instigates a shift in healthcare delivery and administration, fostering improved health outcomes.
 
A Brief History

Multimodal AI has evolved through advancements in AI, data science, and interdisciplinary research. The foundation of AI was established in the mid-20th century by pioneers like Alan Turing and John McCarthy, focusing on symbolic logic and rule-based reasoning. However, early AI systems had limited capabilities to process diverse data types. The 1980s witnessed the rise of machine learning as an area within AI research. Techniques such as neural networks, decision trees, and Bayesian methods emerged, enabling systems to learn from data and make predictions.
 
During the 1990s and early 2000s, progress was made in computer vision and natural language processing (NLP), laying the foundation for multimodal AI by enabling the processing and understanding of visual and textual data. The early 21st century saw a growing interest in integrating multiple data approaches within AI systems. Researchers explored techniques to combine information from sources such as text, images, audio, and sensor data to enhance analyses.
The advent of deep learning in the 2010s transformed AI, fuelled by advances in neural network architectures and computational resources. Deep learning techniques, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), enabled progress in processing multimodal data. In recent years, AI fusion technology has become increasingly prevalent across various domains, including healthcare, finance, autonomous vehicles, and multimedia analysis. These applications leverage sophisticated AI models capable of integrating and interpreting data from diverse sources to extract actionable insights.

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MedTechs Battle with AI for Sustainable Growth and Enhanced Value

The development of multimodal AI continues to be driven by interdisciplinary collaboration between researchers in AI, computer science, neuroscience, cognitive science, and other fields. This collective effort aims to advance the capabilities of AI systems to understand and interact with complex, poly modal environments more effectively.

Multimodal AI in a Healthcare Setting

To illustrate the application of multimodal AI in healthcare, envision a scenario where a patient communicates symptoms through a voice-to-text interface with a medical practitioner’s office. The text is then managed by a computer utilising natural language processing (NLP), empowering machines to understand and interpret human language. Simultaneously, the patient's recent medical images and electronic health records (EHR) are accessed and undergo examination by computer algorithms. Consider that these EHRs are derived from speech recognition processes, transcribing spoken notes from prior examinations conducted by healthcare professionals. These disparate data sources are amalgamated to construct a health profile, offering insights into the patient's medical history and current condition. By harnessing machine learning algorithms, this profile, developed in split seconds, lays the groundwork for crafting personalised diagnoses and treatment plans that surpass the limitations of singular modal approaches. Moreover, the system remains dynamic, evolving alongside the patient's treatment journey. It continuously learns and adapts, aligning with the patient's status to ensure the delivery of optimal therapies. The insights obtained from this multimodal AI approach can be shared with healthcare providers to facilitate informed decision-making and encourage collaborative patient care. In an era marked by vast and rapidly growing healthcare demands, escalating healthcare costs and constrained resources, the significance of this approach cannot be overstated. By encapsulating the complexities inherent in medical diagnoses and treatment plans, multimodal AI offers a superior alternative to traditional singular methods.
 
Healthcare's Data Challenges and Multimodal AI

Let us examine the current situation in a little more detail. In today's digital age, the healthcare industry is a prolific generator of data, contributing ~30% of the world's data volume. This figure is projected to surge further, with a compound annual growth rate (CAGR) of ~36% expected by 2025. Such growth outpaces key sectors like manufacturing, financial services, and media & entertainment by significant margins, emphasising the pace of data expansion within healthcare.
 
The challenges inherent in managing vast amounts of data are not solely due to their abundance; difficulties also arise from their diverse formats, ranging from structured data to unstructured datasets encompassing text, images, graphs, videos, and more. Despite the potential held within such data, significant portions remain untapped. The primary reason for this underutilisation is the inadequacy of conventional tools to unlock the latent insights embedded within diverse data types. Traditional technologies falter in efficiently searching, processing, and analysing these massive and heterogeneous datasets. As a result, there is a need for specialised methodologies and advanced technologies capable of extracting actionable intelligence from this wealth of information.
 
Enter multimodal AI: a transformative solution poised to unlock the value in unstructured datasets. By synthesising advanced algorithms with diverse data modalities, this technology offers a comprehensive approach to data analysis, transcending the limitations of traditional tools. Through techniques like natural language processing, computer vision, and deep learning, multimodal AI empowers healthcare professionals to navigate the complexities of data with unprecedented precision and efficiency. By leveraging this technology, healthcare providers can overcome the challenges of data and pave the way for innovative advancements in patient care, research, and beyond.
 
Navigating the Data Deluge

Medical practitioners encounter obstacles in their efforts to provide optimal care, improve patient outcomes, and manage costs effectively through data amalgamation and analysis.

Real-time data generation intensifies the pressure on healthcare professionals, demanding rapid analysis to extract actionable insights. However, ensuring data quality and reliability remains an issue due to the prevalence of errors, inconsistencies, and missing values, which can compromise both analytical validity and clinical outcomes.

Interoperability problems further exacerbate the situation, as disparate healthcare systems often employ incompatible technologies and standards, hindering data exchange. The absence of standardised formats and protocols impedes integration and sharing across platforms and organisations, thwarting efforts to leverage data for comprehensive patient care.
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Leaning-in on digital and AI

Moreover, privacy and security regulations, such as the American Health Insurance Portability and Accountability Act (HIPAA) and the EU’s General Data Protection Regulation (GDPR), necessitate a balance between safeguarding patient privacy and facilitating data access and sharing. The digital transformation of healthcare increases these concerns, underscoring the urgency of compliance with regulatory standards and robust data protection measures.
Multimodal AI solutions have the capabilities to address these challenges by leveraging advanced encryption techniques, anomaly detection algorithms, and robust audit trails, which strengthen data security and prevent unauthorised access. These AI-powered systems also play a role in ensuring regulatory compliance by identifying potential violations and monitoring adherence to guidelines, thus mitigating compliance risks within healthcare organisations.

Furthermore, effective data interpretation hinges upon domain-specific expertise and a nuanced understanding of clinical contexts. Healthcare professionals must contextualise data within individual patient characteristics, medical histories, and clinical guidelines to make informed decisions, thereby optimising patient care. However, biases inherent in healthcare data pose an obstacle, potentially skewing AI models and predictions. Mitigating biases and promoting equitable healthcare outcomes require a concerted effort towards fairness, transparency, and generalisability in AI model development and deployment.

Addressing these challenges necessitates collaborative efforts among healthcare professionals, data scientists, policymakers, and technology providers. Implementing strategies such as data standardisation, interoperability frameworks, advanced analytics techniques, and robust data governance policies are imperative for overcoming obstacles and unlocking the full potential of healthcare data to enhance patient care and outcomes.

 
Multimodal AI and MedTech Innovation

Multimodal AI extends beyond traditional healthcare practices and has the potential to reshape how MedTech companies tackle healthcare challenges and develop solutions and services for patients. The technology holds promise to accelerate innovation cycles by expediting the development and refinement of novel medical devices and technologies. By integrating various data modalities, including imaging, genomic, and clinical data, it enables firms to uncover insights, leading to the creation of more effective diagnostic tools and treatment solutions. This not only improves the competitive edge of enterprises but also translates into tangible benefits for healthcare providers and patients by offering faster, more accurate diagnostics and therapies.
 
Furthermore, in the realm of personalised care, multimodal AI empowers corporations to tailor interventions to individual patient profiles, encompassing genetic predispositions, lifestyle factors, and treatment responses. Such tailored approaches improve patient outcomes and have the potential to drive market differentiation for MedTech products, which cater to the growing demand for customised healthcare solutions.

Moreover, the integration of multimodal AI into MedTech solutions and services fosters interoperability and connectivity across various healthcare systems and devices. This boosts the efficiency of remote patient monitoring and telemedicine platforms, allowing enterprises to reach underserved populations and geographies more effectively. By leveraging data from wearables, sensors, and remote monitoring platforms, the technology enables proactive healthcare interventions, detecting early warning signs of deterioration, facilitating timely interventions, thus improving patient outcomes, and reducing healthcare disparities.

In addition to driving innovation in product development, multimodal AI contributes to optimising operational efficiency and resource allocation within enterprises. By automating administrative tasks, streamlining work, and analysing data on patient flow and resource utilisation, the technology empowers MedTechs to allocate resources more effectively, reduce costs, and strengthen overall operational performance. This not only translates into improved bottom-line results but also enhances resource allocation for healthcare providers, which ultimately benefits patient care delivery.

The integration of multimodal AI into the medical technology sector catalyses a shift in how healthcare is delivered and managed, paving the way for more efficient, personalised, and accessible healthcare solutions. As corporations continue to harness the power of this technology, the potential for transformative innovation in healthcare delivery and management becomes increasingly possible, promoting better health outcomes and experiences for individuals and populations worldwide.

 
Takeaways

GE Healthcare's acquisition of MIM Software highlights the company's strategic foresight in leveraging MIM's extensive product portfolio, utilised by >3,000 institutions worldwide. Also, it exemplifies Peter Arduini's astuteness in navigating the evolving healthcare technology landscape and emphasises the importance of integrating multimodal AI tools to achieve sustainable growth and gain a competitive edge in today's dynamic healthcare ecosystem. As technology progresses and data complexity increases, multimodal AI's importance is poised to escalate, transforming healthcare's trajectory. The technology’s integration optimises diagnostic and treatment procedures, streamlines administrative functions, and enhances operational efficiency within healthcare systems. Despite challenges such as data complexity and privacy concerns, the ability of multimodal AI to synthesise data and provide actionable insights empowers healthcare professionals, leading to improved patient outcomes. As this technology evolves, it promises to reshape the delivery and management of medical services globally. Multimodal AI has the capacity to reinforce GE Healthcare's leadership in innovation and enhance its competitive position.
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  • Amidst rapid technological advancements, shifting demographics, volatile markets, and geopolitical turbulence, corporate boards grapple with multifaceted responsibilities to steer their enterprises towards sustainable, long-term growth
  • The relentless pace of change demands directors to be adaptable and strategic 
  • Given these dynamics, traditional approaches to board effectiveness should be re-evaluated and enhanced to equip directors with the essential tools for enduring success in today's business environment
 
Reimagining Boards
 
The role of boards of directors has been transformed since their inception in the late 18th or early 19th century. Initially tasked with safeguarding shareholder interests during nascent industrialisation and within smaller-scale enterprises, boards now face additional challenges. The 21st century is marked by rapid technological advancements, significant demographic shifts, volatile global markets, and geopolitical turbulence, all of which converge to test organisational resilience and innovation. Despite this evolving landscape, boards continue to have a fundamental duty of protecting shareholder interests. Directors are elected by shareholders to provide guidance, set strategy and oversee management. Thus, they shoulder the responsibility of ensuring sustained growth and vitality for the entities they govern. However, the accelerating pace of change on many fronts requires boards to manage with agility. Effective communication between executive and non-executive directors, as well as among the latter, is crucial in this endeavour. Notwithstanding, the perception of harmony among corporate colleagues may mask underlying areas for improvement that tend to surface during moments of crisis. Against this backdrop of increasing complexity and the pervasive influence of advancing technologies across all sectors, complacency in communication poses a threat to governance effectiveness. Thus, there is a need to reimagine board strategies to align with the demands of a rapidly changing business ecosystem. Cultivating a culture of mutual respect, agility, and innovation is essential for directors to effectively manage uncertainty and foster sustainable growth. Such a proactive approach not only shields directors against unforeseen obstacles but also positions them to seize emerging opportunities, thereby enhancing their resilience in the face of volatility, and promoting enduring prosperity for the organisations they represent.

 
In this Commentary

This Commentary explores the role that public company boards play in corporate governance. It delves into the obstacles facing directors in today's evolving business terrain, emphasising the need for adaptability and innovative governance practices. It suggests strategies to strengthen boards, including education initiatives, diverse board compositions, and strategic planning retreats. It sheds light on the limitations imposed by directors' time constraints and board meeting schedules, highlighting the potential impediments to gaining a comprehensive understanding of crucial enterprise dynamics. Furthermore, the Commentary examines the implications of aging boards and advocates for the integration of digital natives, suggesting a blend of seasoned experience and technological fluency in governance structures. Through analysis and actionable insights, we endeavour to provide boards with suggestions to help navigate contemporary business ecosystems.
 
21st Century Boards of Directors

Today, corporate leadership is characterised by a complex interplay of various factors, including technological advancements, demographic shifts, market dynamics, geopolitical intricacies, and evolving societal expectations. Compounded by the relatively short tenures of large company CEOs and C-suite executives, averaging ~5 and ~4.5 years respectively, the challenge for directors and boards becomes even more pronounced. The turnover in leadership underscores the need for agility and foresight in governance and strategic planning processes. Entrusted with the task of charting a course for their companies' future prosperity and sustainability, boards must adeptly manage these hurdles. To succeed in this endeavour, non-executive directors must possess a deep understanding of the forces shaping the business environment and possess the flexibility to adapt to emerging trends and challenges. By doing so, boards can ensure that their organisations remain resilient and responsive among the ever-changing milieu of the modern corporate environment.
 
At the forefront of this task is the speed and extent of technological disruption. Numerous 21st-century technologies have reshaped societies, economies, and everyday life. Smartphones and mobile telephony have transformed communications, entertainment, commerce, and productivity, becoming indispensable tools globally. Social media platforms like Facebook, X, (formerly Twitter), Instagram, and TikTok have radically changed communication patterns, influenced consumer behaviour, and shaped political discourse. Cloud computing services such as AWS and Azure have disrupted data storage and software access, driving efficiency and innovation in businesses. E-commerce platforms like Amazon and Alibaba have radically changed traditional retail models, offering convenience and global reach. Artificial intelligence (AI) technologies automate tasks, analyse data, and power innovations from virtual assistants to medical diagnostics. The Internet of Things (IoT) enables interconnected devices to optimise processes in healthcare, manufacturing, and transportation. Big data analytics unlock insights from vast amounts of information, driving innovation and enhancing competitiveness. These technologies present opportunities and risks. Corporate boards must fully comprehend their implications, urging companies to harness them for innovation while fortifying defences against emerging threats such as cybersecurity breaches.
 
Geopolitical uncertainty presents another substantial challenge for leaders. With trade tensions and regulatory hurdles, directors must possess a nuanced understanding of global markets and exhibit agility in adapting to shifts in international relations. Navigating such volatility demands strategic prowess and capabilities to react swiftly. Moreover, addressing evolving consumer preferences requires cultivating diversity within corporate governance structures. By developing leadership teams that encompass a range of perspectives and expertise, organisations are better positioned to drive innovation and ensure well-informed decision-making processes that connect with stakeholders. 
Equally crucial are environmental, social, and governance (ESG) considerations, which have surged to the forefront of corporate agendas. Rather than treating sustainability and ethical practices as add-ons, leaders must integrate them into strategic planning and risk management to safeguard long-term value and reputation.
 
In the digital age, cybersecurity and data privacy pose threats to businesses. Boards must exercise decisive oversight to protect critical assets and uphold stakeholder trust amidst escalating cyber threats. Collaborative efforts between directors and management are essential to assess risks, implement policies, and integrate cybersecurity into broader strategic initiatives. Proactive measures can mitigate challenges, preserve customer trust, and ensure sustainable growth.
 
In today's business environment, the responsibilities of board directors extend beyond attending meetings and responding to market fluctuations. While these short-term considerations are essential, directors must also recognise the importance of enhancing their comprehension of factors that influence longer-term strategies pivotal for sustainable growth. The traditional format of board meetings, and the competing interests of non-executive directors, may inadvertently foster a superficial approach to governance and the formulation of long-term strategies. Directors play a crucial role in steering their organisations towards sustainable growth and competitive advantage. This necessitates a comprehensive exploration of all facets of the corporation and its industry, coupled with a continuous awareness of emerging technologies and the growing influence of emerging economies.
To adeptly address both short-term pressures and foster sustainable growth, boards must reassess the regularity and structure of their meetings. Increasing their frequency facilitates prompt decision-making, encourages deeper engagement and strengthens problem-solving capabilities among directors. Furthermore, aligning the frequency of meetings with strategic priorities ensures that time is allocated effectively, laying a robust foundation for long-term success.
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The Power of Corporate Culture

Directors must balance oversight and intervention while fostering adaptability, innovation, and embracing change as an opportunity for growth, instilling forward-thinking mindsets, and empowering management. Expertise, vigilance, and adaptability are indispensable traits for effective board leadership.
 
Communication challenges

Effective communication is a cornerstone for boardroom success. Nonetheless, nurturing relationships is a task that demands both time and resources. Disregarding such endeavours can lead to issues, ranging from ineffective management practices to organisational breakdowns.
 

Executive-Non-Executive Communications
One main obstacle to effective communication is the inherent information asymmetry between executives and board directors. The former often possess more detailed knowledge about the organisation's day-to-day operations and challenges, leaving directors at a disadvantage. This information gap can result in misunderstandings or misinterpretations during board iterations. Executives may withhold information due to concerns about reputation or personal interests, while directors may lack the depth of understanding to fully comprehend the implications of certain decisions.
 
Further, communication between executives and non-executive directors is susceptible to confirmation bias and groupthink. Executives may present information in a way that aligns with their preferred course of action, while directors may feel pressured to conform to the consensus within the boardroom. This can stifle dissenting opinions and critical evaluation, leading to suboptimal decision-making. A lack of accountability compounds these challenges. Without transparent communication, directors struggle to hold executives accountable, which can encourage a culture of complacency, allowing misconduct to go unchecked.
 

Overreliance on PowerPoint Presentations
Personality conflicts, power struggles, and divergent communication styles present barriers to the flow of information within organisations, hampering problem-solving efforts and eroding trust among stakeholders. Moreover, an excessive reliance on PowerPoint Presentations (PPPs) can exacerbate these challenges, as they often fail to stimulate meaningful dialogue. Executives must engage in frank discussions with their board colleagues to tackle complex issues, fostering an environment of openness and transparency. Effective communication between executives and board directors demands strategies that encourage genuine engagement and facilitate transparent dialogue. This not only strengthens relationships but also fosters a culture of trust, collaboration, and collective problem-solving. Jeff Bezos, known for his emphasis on effective communication and decision-making within Amazon, has notably instituted a practice in company meetings where executives must read and internalise a memo, which serves as the basis for discussion, rather than relying on PPPs. This approach is thought to encourage more thoughtful analysis and in-depth understanding.
 

Kingdom Building Among Middle Managers
Boards across industries might draw on the strategic manoeuvres of tech giants like Meta and Google, who are simplifying their organisational structures by eliminating layers of middle management. It is at these levels where internal kingdom building occurs, leading to bureaucratic hurdles and siloed operations. By flattening their hierarchies, these tech firms aim to boost transparency, agility, and collaboration. Boards representing other industries might take note of the potential inefficiencies and communication bottlenecks stemming from excessive middle management layers and consider similar initiatives to bolster organisational efficiency. A more streamlined and agile enterprise can help boards to drive innovation, adapt swiftly to market changes, and sustain growth.
 

Communication Among Board Directors
Effective communication among board colleagues is essential for fostering mutual respect and a shared commitment to the company's vision, mission, and strategy. When directors comprehend and endorse the organisation's goals and purpose, they can utilise their diverse expertise to collaboratively drive strategy. This alignment encourages unity within the board, ensuring decisions are made in the best interest of the company's long-term success. Through exchanging insights, providing feedback, and engaging in constructive dialogue, directors can identify trends, assess risks, and make informed decisions that contribute to sustainable success. Conversely, inadequate communication among directors can lead to conflicts and impede the board's ability to make timely decisions. Disagreements and misunderstandings can undermine trust and cohesion, ultimately jeopardising the company's competitive position.
 

                   Strengthening Boards for Dynamic Governance

Directors juggling competing interests often face heightened demands, which may compromise their effectiveness, particularly when they hold multiple board positions. While enriching their experience and expertise, multitasking can strain their time and focus, hindering their ability to prioritise effective communication within individual affiliate boards. To address this challenge, implementing limits on the number of boards directors can serve on becomes essential to ensure that their attention remains focused and their commitment undivided. In the US, institutional investors have voiced their opposition to the appointment of directors sitting on >5 boards. Notably, BlackRock, an investment management firm, cast dissenting votes against 163 directors across 149 companies between July 2020 and June 2021 due to concerns of over-boarding. 
 
Continuous education and training programmes for executives and board directors are essential for improving their grasp of roles, and responsibilities. These instil a culture of constant learning and flexibility, equipping participants with the skills needed to tackle modern challenges. Additionally, by promoting diversity of thought within the board, discussions and decision-making become more vibrant, and encourage innovative solutions to current problems. Evaluating executives' performance, particularly their communication abilities, enhances accountability and contributes to ongoing progress.
 
Careful structuring of board committees ensures oversight and dynamic discussions. Regular rotation of committee members safeguards against complacency and brings in fresh perspectives, invigorating the board's decision-making processes. While organising retreats involving both executives and board directors may disrupt the usual rhythm of board meetings, such initiatives are instrumental in reinforcing alignment with corporate goals and strengthening communication channels. By incorporating workshops, inviting guest speakers, and facilitating open forums during board meetings, the focus shifts towards promoting creativity and embracing diverse viewpoints, rather than perpetuating conventional thinking. Such initiatives help to shape and reshape the mindsets of executives and directors, stimulate innovation, and facilitate active engagement.
 
Beyond Boardrooms

Sticking strictly to the traditional approach of holding board meetings exclusively at the company's headquarters could inadvertently limit directors' understanding of the operations they oversee. In an era marked by interconnectedness and diversity, it is crucial for directors to move beyond these physical confines and actively involve themselves in the varied operational landscapes of their enterprises. This fosters a deeper understanding of the challenges and opportunities encountered by the company, cultivating a more nuanced perspective essential for informed and effective decision-making.
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Forging a path for digital excellence in the MedTech Industry

When board directors acquaint themselves with facilities and locales crucial to operations, they gain insights into quality control protocols, potential bottlenecks, and opportunities. Armed with such knowledge, they are better positioned to identify avenues for improvement. An understanding of supply chain dynamics is also essential for effective risk management and protection against disruptions. By increasing their knowledge of key suppliers, directors strengthen their ability to navigate challenges and cultivate agility and adaptability.
Furthermore, the operational footprint of international corporations often spans diverse regions characterised by unique cultural, economic, and regulatory frameworks. Venturing beyond the headquarters helps board members gain first-hand exposure to these varied geographies, enhancing their ability to contribute to strategies tailored to local contexts. Such knowhow proves invaluable in understanding key customers, navigating complex regulatory spheres, and seizing market opportunities.
 
Embarking on exploratory journeys into potential regions and markets equips directors with insights necessary to make more informed strategic decisions regarding expansion initiatives, mergers, or acquisitions. Through experiences in new regions, directors develop the ability to assess market potential, recognise competitive dynamics, and determine the viability of investment ventures, thereby mitigating risks inherent in moving into unfamiliar territories.
 
In the late 20th and early 21st centuries, a significant shift occurred, with ~80% of the global population transitioning from poverty to middle-class status and from ignorance to enlightenment. This period witnessed the transformation of once nascent markets into economic powerhouses. Despite comprising >75% of the world's population in 2000, developing economies were responsible for only ~40% of global GDP. By 2010, this share had risen to ~50%, and projections indicate it will reach ~60% by 2025. No longer low-margin commodity exporters, emerging markets now serve as growth opportunities for Western corporations, with tech giants like Apple and Microsoft also leveraging them for innovative R&D. In today's setting, it is essential for directors of Western enterprises to broaden their horizons beyond their advanced home economies and gain exposure to the conditions, economies, business practices, and opportunities of emerging markets, where an increasing percentage of future global business and innovations lie.
 
Board Demographics

The median age of public company directors, which is ~65, holds significance for the effectiveness of corporate boards, particularly within fast-paced technology sectors. This demographic influences decision-making, strategic planning, and governance, thereby shaping the path of organisations. While the expertise of older directors contributes valuable experience and institutional insight necessary for understanding industry shifts and overcoming obstacles, it also presents constraints.
 
One important advantage derived from senior board members is the depth of experience and institutional memory they inject into boardroom deliberations. They serve as custodians of industry dynamics and historical perspectives, illuminating pathways for informed decision-making and strategic foresight. Their tenure promotes stability and continuity within the board, instilling confidence in shareholders and stakeholders regarding consistent leadership aligned with the enterprise's long-term objectives. Also, age does not necessarily correlate with either a lack of mental agility or technological acumen; many senior directors remain actively engaged, continuously updating their knowledge base, and contributing meaningfully to board discussions on market trends and technological advancements.
 
However, some seniors may lean towards a cautious approach to risk, potentially reducing innovation, and adaptability. While this approach may mitigate immediate risks, it could impede agility in responding to emerging business opportunities. A technology and innovation gap among seasoned directors may also hinder their ability to grasp evolving trends critical in today's competitive ecosystem, such as social media's influence. Boards lacking expertise in this area may struggle to manage online reputation and engage stakeholders effectively. Knowledge gaps could dilute the board's evaluation of risks and opportunities, affecting the company's competitiveness. This is especially critical in rapidly changing industries like agriculture and healthcare, where failure to leverage developing technologies can result in missed growth opportunities and loss of market relevance.
 
Digital Natives

Large company boards are comprised predominantly of digital immigrants, individuals who have been shaped in an era preceding the transformative influence of the internet on communication and information dissemination. We have suggested how this demographic has implications for how boards confront the challenges presented by an ever-evolving business ecosystem. Given the rapid pace of technological advancement, boards must not only draw upon the wisdom and stability offered by senior directors but also recognise the importance of integrating digital fluency into their ranks.
 
The integration of digital natives - individuals who have grown up in the information age - onto boards seems a strategic necessity. Their presence offers fresh perspectives and technological expertise essential for navigating the complexities of today's digital era. By broadening the scope of diversity beyond factors like ethnicity and gender to encompass age, boards can ensure they possess the skill set needed to thrive in a rapidly and perpetually evolving business environment. Actively recruiting individuals steeped in the information age can infuse boards with innovative thinking and technological prowess.
 
Moreover, embracing age diversity supports a collaborative environment wherein insights from both digital immigrants and digital natives are leveraged to maximum effect. This synergy between different generational mindsets encourages a deeper understanding of emerging technologies and market trends and thereby supports more nuanced and informed decision-making processes. Harnessing the collective wisdom of both cohorts amplifies the board's capacity to anticipate disruptions, identify opportunities, and devise strategies that resonate across diverse consumer demographics.
 
However, the integration of digital natives necessitates a commitment to foster an inclusive culture that values and empowers their contributions. Boards must provide opportunities for digital natives to express their perspectives freely and actively seek their input. Encouraging cross-generational mentorship and knowledge exchange initiatives can further enhance collaboration and facilitate the integration of digital fluency into boardroom discussions and decision-making processes.
 
In essence, bridging potential technology gaps within corporate boards through the inclusion of digital natives enhances the board's capacity to navigate the complexities of the modern era and reinforces its relevance and competitiveness in an increasingly dynamic marketplace. It seems reasonable to suggest that embracing diversity in age and thought is a pathway to sustained innovation, resilience, and long-term success in an ever-evolving business ecosystem.
 
Takeaways

The evolving landscape of corporate governance demands a re-evaluation of traditional board practices in the face of the rapid changes in technology, demographics, markets, and geopolitics. As guardians of corporate strategy and sustainability, boards must possess adaptability and strategic insight to navigate these complexities effectively. In this context, reimagining the role of boards extends to innovative approaches, including enhanced communication strategies, continuous education initiatives, and promoting age diversity. Furthermore, expanding board activities beyond the confines of corporate headquarters offers invaluable insights into operational realities and diverse markets, facilitating informed decision-making. By fostering collaboration, embracing digital fluency, and leveraging the collective wisdom of diverse generations, boards can navigate uncertainty, drive innovation, and ensure enduring success in today's dynamic business environment. Implementing these principles positions boards as architects of their own evolution, empowering them to lead organisations towards resilience and sustainable growth amidst the relentless pace of change.
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  • Corporate culture shapes the identity and values of MedTech companies, influencing their approach to innovation, patient care, and business ethics
  • It encourages robust employee engagement, collaboration, and commitment, crucial for driving advancements in medical technology and enhancing patient outcomes 
  • The alignment of corporate culture with regulatory standards and industry best practices is essential for enterprises to maintain compliance and trust among stakeholders
  • Ethical decision-making and integrity are cornerstones of a positive corporate culture in the MedTech sector, impacting public perception and investor confidence
  • Embracing a supportive and inclusive ethos attracts top talent, nurtures development, and sharpens competitive edge in healthcare's dynamic landscape
 
The Power of Corporate Culture
 
In the ever-evolving environment of the medical technology industry, where innovation and precision are essential, an often underestimated yet indispensable element stands out: corporate culture. It serves as the foundation upon which organisational cohesion and effectiveness are built, encompassing the shared values, beliefs, attitudes, and behaviours that guide employee interactions and shape decision-making processes. A unified corporate environment fosters collaboration, streamlines operations, and boosts productivity, optimising resource allocation and reducing waste. Conversely, fragmented cultures breed discord, hampering communication, impeding progress, and depleting valuable resources in the process. An integrated corporate ethos that empowers individuals and aligns them with the company’s strategic vision can unlock their full potential, nurturing sustainable growth and gaining a competitive edge. 

As the medical technology sector continues its pursuit of innovations and personalised solutions, the role of a robust corporate culture becomes indispensable. It acts as the crucial element for success, helping companies manage challenges effectively while also empowering them to seize opportunities with agility and foresight. Furthermore, a unified corporate ethos strengthens companies to achieve important results that connect with patients and stakeholders, solidifying their leadership role in advancing healthcare and shaping the industry's future.
 
The sustained success of Medtronic, Siemens Healthineers and Boston Scientific in the global MedTech industry partly can be attributed to their distinctive corporate cultures, which serve as a competitive advantage. These companies have strategically cultivated cultures that set them apart from competitors and strike a chord with their stakeholders. For instance, Medtronic's emphasis on innovation and patient-centricity encourages advancements and instils trust among patients and healthcare professionals. Similarly, Siemens Healthineers' commitment to quality and continuous improvement not only drives advancements in medical technology but also ensures reliability and excellence in their products and services. Boston Scientific's focus on integrity, inclusion, and accountability strengthens internal cohesion and enhances customer trust and loyalty. By prioritising values such as collaboration, excellence, integrity, and customer satisfaction, these corporations differentiate themselves within the industry and contribute positively to healthcare outcomes worldwide.
 
In this Commentary

This Commentary highlights the pivotal role of corporate culture in the MedTech industry, advocating for strategies to maximise its impact. It shows how culture can drive success through innovation, employee engagement, and performance. The discussion describes actionable approaches, such as leadership commitment, clear vision, open communication, empowerment, diversity, inclusion, and continuous learning. By implementing these, companies can benefit from culture's potential for sustained growth and innovation, thereby significantly improving healthcare delivery. We present a brief case study of MedCo, a lesser-known UK MedTech, which has gained a reputation for proactive innovation. We illustrate how the company purposefully developed a distinct corporate culture. This differentiated it in an increasingly competitive market, exemplifying the transformative influence of a carefully crafted and implemented corporate culture. Furthermore, the Commentary tackles challenges and provides practical insights to assist enterprises in overcoming these obstacles, directing them toward a culture that promotes innovation, engages employees, and ensures long-term success.
 
Culture a Catalyst for MedTech Success

At its core, corporate culture in MedTechs fuels an environment where employees are inspired to push boundaries, collaborate, and engage in continuous improvement, encouraging creativity and empowering individuals to challenge the status quo. These dynamics facilitate the creation of innovative technologies and solutions poised to improve healthcare delivery. Simultaneously, it nurtures a sense of purpose and belonging within employees, aligning their endeavours with the organisation's mission to advance patient outcomes and elevate quality of life. Corporate ethos can help shape an environment where innovation flourishes, employees excel, and enterprises differentiate themselves. It stimulates collaboration, inspires creativity, encourages quality processes, and promotes continuous improvement, ultimately driving success, and impacting healthcare while building trust, attracting top talent, and strengthening a company's reputation.

Enhanced Employee Engagement and Productivity
When employees feel valued, supported, and appreciated within a positive work environment, they are motivated to contribute their best efforts. Clear communication channels, recognition programmes, and opportunities for professional growth further bolster engagement. A strong corporate culture promotes collaboration, teamwork, and a shared commitment to excellence, leading to increased efficiency and quality output. 
 

Fostering Innovation and Adaptability
Corporate culture is a catalyst for innovation and adaptability by nurturing an environment that values creativity, experimentation, and continuous learning. Employees who are encouraged to think outside the box and challenge conventional norms often generate new ideas and breakthrough solutions.
An ethos that embraces change and risk-taking enables teams to adapt swiftly to evolving market dynamics and technological advancements. Open communication channels and collaboration across departments and functions facilitate the exchange of diverse perspectives and insights, supporting a culture of innovation. Furthermore, an emphasis on learning and development ensures that people remain agile and equipped to manage challenges effectively, driving creativity and adaptability.
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Optimising MedTechs’ People Operations for AI and Market Changes

Building Trust and Reputation
By embedding values such as integrity, transparency, and accountability throughout every facet of an enterprise's operations, corporate culture becomes instrumental in promoting trust and shaping reputation, positioning the organisation as a dependable industry partner. When employees observe ethical behaviours and fair treatment they can foster a sense of trust and loyalty. Upholding high standards of conduct and fulfilling commitments enables MedTechs to solidify their reputation as reliable, ethical, and trustworthy entities.
 
Cultivating an Effective Corporate Culture
 
Corporate culture begins at the top and hinges upon the unwavering commitment and alignment of leaders, who serve as the catalysts for its development. Central to this process is the relentless communication of the company's vision, mission, and values, coupled with the demonstration of these principles through leaders' actions. Collaborative goal setting, the establishment of clear objectives, and the implementation of receptive feedback mechanisms all serve to strengthen alignment with organisational objectives and bolster accountability throughout the entire workforce.
 
Open communication channels are essential for promoting transparency and trust. Establishing platforms for candid dialogue, such as regular team meetings and anonymous feedback systems, encourages active participation and fosters an inclusive culture. Leaders play a crucial role by modelling open communication, actively soliciting, and responding to feedback, thus supporting a culture of mutual respect and trust.
 
Employee empowerment lies at the heart of this process. MedTechs can enhance their people by delegating decision-making authority, granting autonomy in tasks, and developing an environment that champions innovation and encourages risk-taking. Recognition programmes that celebrate individual and collective achievements reinforce a culture of appreciation and motivate employees to pursue excellence. Additionally, offering opportunities for career development elevates people to map out their professional growth within the organisation.

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The Silent Obstacle to MedTech Growth and Value Creation

Embracing diversity and inclusion stimulates innovation and enhances employee satisfaction and retention. Corporations can implement initiatives such as diverse hiring practices, unconscious bias training, and affinity groups to nurture an inclusive culture where all voices are valued. Mentorship programmes and promoting diverse leadership representation further emphasises an enterprise’s commitment to creating an environment where everyone can excel.
Continuous learning and development are vital for maintaining a culture of growth and improvement. Providing access to training programmes, workshops, and educational resources encourages people to pursue professional development opportunities. Furthermore, cross-functional collaboration and mentorship programmes facilitate the sharing of knowledge, drive innovation, and support continuous professional development.
 
Overcoming Challenges in Developing Corporate Culture

Successfully navigating the complexities of corporate culture development demands a multifaceted approach and steadfast commitment from leaders. Proactively tackling challenges entails more than just addressing them; it requires a strategic orchestration of efforts. Initially, overcoming resistance to change necessitates transparent communication elucidating the rationale behind cultural shifts, while actively involving employees to advance their buy-in and acceptance. Further, dismantling siloed departments and hierarchical structures mandates fostering cross-functional collaboration and flattening organisational hierarchies to promote inclusivity and teamwork. Facilitating an inclusive environment acknowledges and respects cultural differences within diverse teams, promoting a sense of belonging and empowerment. Also, ensuring the longevity and efficacy of cultural initiatives demands consistent reinforcement and alignment with company objectives. And, overcoming resource constraints mandates judicious prioritisation of cultural investments and the efficient utilisation of available resources. By adroitly addressing these challenges and implementing tailored strategies, MedTechs can forge robust corporate cultures that drive success and foster sustainable growth.
 
MedCo: A Case Study

Traditional MedTech enterprises seeking transformative strategies for growth and value enhancement can glean valuable insights from the journey of MedCo. Positioned as a leader in personalised healthcare solutions, the company has forged a successful path by integrating data analytics, genetics, and artificial intelligence (AI) to significantly enhance medical treatments with tailored solutions. However, what distinguishes MedCo is the emphasis its leaders place on corporate culture. Unlike many traditional players who prioritise financial and technological advancements, the company leaders recognise the importance of fostering a dynamic corporate culture that encourages experimentation, embraces diversity, and champions agility. This strategic alignment between technological innovation and a progressive corporate culture has propelled the corporation to the forefront of the industry and enabled it to continuously adapt and prosper in an ever-evolving healthcare ecosystem. Thus, for traditional MedTech enterprises aspiring for transformative growth and value enhancement, the journey of MedCo serves as a testament to the influence of corporate culture in driving innovation and strategic success.
 
With unwavering determination, MedCo's leaders refused to confine themselves to the status quo of conventional healthcare provision. Recognising the transformative potential of corporate culture, they embarked on a journey, fully cognisant that the foundation of such culture rests with leaders, encapsulated by a well-defined vision, mission, and values. Their resolve was to carve out a reputation synonymous with excellence, offering innovative products alongside exceptional service and after-sale support. With a focus on enhancing usability, saving healthcare professionals time and resources, and prioritising patient comfort and emotional wellbeing, the leaders pursued their objectives. They developed a culture characterised by innovation, quality, and employee engagement, which was aligned with the enterprise’s strategic vision.

 
Recognising that corporate culture starts from the highest levels, leaders outlined the company’s vision, mission, and values. Then, through proactive involvement with employees, these principles were collaboratively honed to align with strategic imperatives. Their goal? To forge a legacy characterised by unmatched product excellence, innovation, and comprehensive service: a pledge to substantially enhance usability, mitigate healthcare expenditures, and improve patient outcomes.
 
Establishing open channels of communication emerged as a cornerstone of its cultural blueprint. Town hall meetings, feedback sessions, and online forums became conduits for transparent dialogue, promoting collaboration and encouraging employees to contribute to strategic initiatives. Embracing employee empowerment and recognition, MedCo delegated decision-making authority and celebrated achievements, engendering a culture where every individual felt valued and motivated to take ownership of their contributions. In tandem with strengthening their employees, the company prioritised continuous learning and development, offering comprehensive training programmes, workshops, and mentorship opportunities. This bolstered employee satisfaction and retention and ensured the corporation's continued innovation in a fast-moving sector.
 
The tangible outcomes of MedCo's corporate culture are manifested in elevated levels of employee engagement, heightened productivity, and pioneering innovation. This culture serves as an advantage, attracting top talent, enhancing the company's reputation, and driving technological advancements. This case study is a testament to the transformative potential of corporate culture: a narrative from which traditional MedTechs can glean valuable insights to help in their strategic evolution.
 
Takeaways

Corporate culture is pivotal for MedTech companies, fuelling innovation, engaging employees, and establishing a competitive edge. A cohesive culture, rooted in shared values and collaboration, unleashes companies' full potential for sustained quality growth. Prioritising initiatives like open communication, employee empowerment, and ongoing learning enables firms to tackle challenges, adapt to market shifts, and deliver cutting-edge solutions that improve patient outcomes. A robust corporate culture not only attracts top talent and bolsters reputation but also positions companies as industry leaders. As MedTechs innovate and personalise healthcare, developing and nurturing a vibrant corporate culture remains essential to their mission of transforming healthcare delivery. By embracing corporate culture's power, enterprises can chart a path to sustained success, innovation, and excellence in creating a healthier future.
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  • Traditional MedTechs should swiftly upgrade their human capital if they wish to keep pace with rapidly advancing technologies and changing markets
  • Priority lies in aligning in-house capabilities with technology-driven strategies and the progression of healthcare systems
  • Emerging technologies like AI-driven big data solutions and services are set to transform MedTech offerings
  • Enterprises need to adjust to decentralised care models within evolving healthcare ecosystems 
  • To flourish in the next decade, MedTechs must cultivate a culture of continuous enhancement to bolster their innovation capabilities
 
Optimising MedTechs’ People Operations for AI and Market Changes
 
In today's dynamic healthcare landscape characterised by rapid technological advancements and shifting market trends, traditional MedTechs find themselves at a turning point. Maintaining competitiveness demands a proactive stance to manage change through strategic investment in human capital development. Prioritising the rejuvenation of a company’s workforce is important, as an organisation's future sustainability and success hinge on its ability to adapt and innovate. This need for transformation is driven by factors influencing healthcare, including the rise of disruptive technologies and the continuous evolution of market conditions.
 
In this Commentary

This Commentary stresses the need for traditional MedTech firms to modernise their people operations amid the growing influence of AI, automation, and market dynamics. It stresses aligning human capital capabilities with organisational strategies to effectively leverage technological advancements, market shifts, and evolving healthcare systems. By showcasing the transformative potential of AI-powered big data-driven solutions and services, it draws attention to the importance of empowering people to manage challenges and drive innovation that provide access to new revenue streams. Furthermore, it highlights the shift towards decentralised care, prioritising prevention, and patient-centricity, prompting enterprises to realign their internal capabilities accordingly. Addressing challenges posed by off-patent products, the Commentary advocates a proactive approach in equipping workforces with essential skills and a mindset conducive to excelling in an era of heightened automation and efficiency. Lastly, it underscores refocusing company operations on value creation while fostering a culture of continuous improvement and innovation, guiding MedTechs to maintain their competitive edge in the evolving healthcare ecosystem.
 
Technological Advancements and Market Dynamics
 
The healthcare industry is undergoing a transformation fuelled by rapid technological advancements and market changes. Emerging automation technologies are disrupting traditional workflows and processes, promising heightened efficiency, accuracy, and improved patient outcomes. Concurrently, there is a notable surge in the adoption of digital health solutions, preventive measures, diagnostics, and value-based care. Digital health platforms offer opportunities for remote patient monitoring, personalised interventions, and data-driven decision-making, while preventive healthcare, driven by wearable devices and predictive analytics, aims to anticipate and mitigate illnesses before they escalate, thus promoting wellbeing and alleviating strain on healthcare systems. Moreover, diagnostics are evolving with greater sophistication, incorporating technologies like genomics and molecular imaging to enable earlier detection and targeted treatment strategies. In this changing technological terrain, traditional MedTech companies must shift their people towards a tech-savvy, forward-thinking mindset. Employees must be adept at leveraging disruptive technologies to develop and deliver innovative solutions and services that align with the evolving needs of patients, thereby providing access to new revenue streams. Achieving this necessitates a concerted effort to upskill existing talent, recruit individuals with expertise in AI, data analytics, and digital health, and cultivate a culture of continuous learning and adaptation. While the allure of seeking external expertise from consulting firms may be strong, the most sustainable approach is to invest in enhancing in-house capabilities, empowering the workforce to adeptly navigate transitions and foster innovation and sustainable growth from within.
 
Changing Healthcare Systems

Healthcare worldwide is shifting towards decentralised care, preventive measures, and patient-centricity and is characterised by innovative care delivery models, heightened emphasis on patient outcomes, value, and stringent regulatory standards. Decentralised care models, such as telemedicine, home healthcare, and community-health, are gaining traction. Such models prioritise accessibility, convenience, and cost-effectiveness, necessitating companies to develop solutions and services tailored to support remote monitoring, virtual consultations, and effective data exchange between healthcare providers and patients.
 
The growing recognition of the importance of preventive healthcare in reducing disease burdens and rising healthcare costs is likely to oblige MedTechs to adapt by shifting some of their focus towards developing technologies that enable early detection, personalised interventions, and health promotion initiatives. This requires people equipped with the expertise to manage complex healthcare ecosystems, collaborate with diverse stakeholders, and leverage data analytics to drive actionable insights. Further, patient-centricity has emerged as a guiding principle shaping healthcare delivery and product development strategies. Traditional enterprises, mostly focused on health professionals in hospitals, must enhance their understanding of patient needs, preferences, and experiences to design offerings that empower individuals to actively participate in their care journeys. This demands a workforce with an understanding of individual-centred design principles, empathy, and the ability to co-create solutions with patients and caregivers. MedTechs must increase investments to bolster cross-functional collaboration, nurture entrepreneurial mindsets, and deepen comprehension of regulatory compliance, quality production, value-based care, and market dynamics. These efforts are crucial for businesses to position themselves as catalysts of innovation and value creation within evolving healthcare ecosystems.
 
Impact of Off-Patent Products

As we approach 2030, numerous corporations are on the verge of encountering patent expirations that currently safeguard revenues of a substantial portion of their product offerings, including pacemakers, implantable defibrillators, insulin pumps, and certain stents. This impending wave of expirations suggests an imminent surge in competition from generic and biosimilar alternatives, posing a challenge to the established dominance of traditional firms. These enterprises, often hesitant to invest in innovative R&D initiatives, now face a critical decision point where they must evolve or risk losing their competitive edge. To effectively manage this impending challenge, companies need to revamp their people operations and talent management strategies.
 
In the race to swiftly bring new products to market, speed is critical. Traditional firms that have been slow to adapt must streamline their processes, remove bureaucratic bottlenecks, and cultivate a culture of rapid prototyping and iteration. This necessitates a workforce characterised by adaptability, resilience, and a commitment to excellence. Individuals must be empowered to foster innovation, embrace ambiguity, and view failure as an aspect of the innovation journey. Essentially, the impact of off-patent products suggests a new era of heightened competition and significant challenges for some traditional businesses. To excel in this environment, they should consider restructuring their people operations to foster innovation, differentiation, and agility. Only through such a culture can MedTechs hope to maintain their leading position amidst the evolving healthcare landscape.
 
Enhanced Efficiency through Automation

Projections from the Organisation for Economic Co-operation and Development (OECD) paint a concerning picture of the transformative impact of technology on the global workforce, with the healthcare sector positioned at the forefront of this anticipated evolution. As technological advancements become more prevalent, traditional roles within healthcare are likely to undergo transformations. Repetitive tasks, which have historically defined many healthcare professions, are progressively being assigned to automated systems. This shift liberates professionals to focus on tasks that necessitate human expertise and empathy.
 
For conventional firms, embracing this shift is not just a suggestion but a necessity for survival and prosperity. They must proactively equip their people with the necessary skills and proficiencies. This goes beyond technical competence and requires a shift in mindset and approach. Human capital strategies should foster a culture of collaboration with intelligent systems, leveraging individual talents to fuel innovation and boost productivity. Traditional enterprises must enhance their operations and services through advanced technologies. By integrating smart solutions throughout manufacturing, supply chain management, and product development workflows, MedTechs can unlock significant degrees of efficiency, scalability, and adaptability. Moreover, this integration can enhance the performance and functionalities of services, delivering added value to healthcare providers and patients. However, the rise of intelligent systems presents both challenges and opportunities for corporations. Embracing these advancements and investing in the necessary skills and technologies allow organisations to broaden their horizons and generate additional value, which is essential for sustained growth.
 
Cost Pressures and Value-Based Care

The significant rise in global healthcare spending, now exceeding an annual sum of US$8trn, has catalysed a transformative shift towards value-based care. This innovative approach prioritises the improvement of patient outcomes together with efforts to contain costs, marking a departure from the traditional reimbursement model, which is based on the provision of medical services. Within the framework of value-based care, conventional measures of success, like procedure volumes or sales figures, give way to more comprehensive evaluations that encompass patient wellbeing, enhancements in quality of life, and the effective reduction of expenses.
 
For traditional corporations, adapting to this new reality necessitates a reorientation of their people towards value creation. This goes beyond innovating products and requires a fresh approach that integrates considerations of efficacy, efficiency, and patient-centeredness into all operational facets. Employees must be empowered to transcend conventional boundaries and collaborate across functions to develop solutions that meet the needs of patients and healthcare providers. Additionally, MedTechs should invest in their human capital to enable all staff to illustrate the value proposition of the company’s products in tangible terms. This may involve employing data analytics to quantify the impact of products on patient outcomes, conducting real-world studies to validate effectiveness across various clinical settings, and adopting transparent pricing practices aligned with the value delivered. Moreover, fostering a culture of continuous improvement and innovation is important, where employees are encouraged to challenge conventions, experiment with new methods, and learn from both successes and setbacks. By embracing this mindset, companies are better positioned to drive sustained value creation, ensuring their relevance and competitiveness in an increasingly value-driven healthcare landscape.
 
Takeaways

With technological advancements and market shifts, the need for traditional MedTech companies to upgrade their capabilities cannot be emphasised enough. The convergence of automation technologies, evolving healthcare systems, patent expirations, and the transition to value-based care present both challenges and opportunities. Failure to adapt quickly to such shifts puts these companies at risk of being relegated to obscurity in an increasingly competitive market. The rapid pace of technological advancement, exemplified by emerging automation tools driven by AI and big data, requires people capable of harnessing these technologies to drive forward efficiencies and innovations. Furthermore, as healthcare systems evolve towards decentralised care, preventative measures, and patient-centric approaches, a deep understanding of new care paradigms and patient requirements becomes increasingly necessary. The expiration of patents emphasises the urgency for companies to cultivate innovation, differentiation, and adaptability. This entails empowering all employees to take ownership of change, think disruptively, and accelerate product development cycles. Moreover, the transition to value-based care necessitates a pivot towards outcome-driven, cost-effective, and patient-centric models. Traditional success metrics should be replaced with more nuanced measures of value, with people equipped with the necessary skills to demonstrate tangible value propositions. In essence, the transformation of traditional human capital policies is not just strategic, but a requirement for survival. By investing in people operations focused on innovation, collaboration, and value creation, enterprises can position themselves as leaders in the healthcare systems of tomorrow. Only by fully embracing this transformative journey can MedTechs succeed amidst the disruptive forces reshaping the industry.
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  • MedTech ESG reporting is transitioning from compliance to strategic value creation
  • Increasingly MedTech leaders recognise ESG's role beyond compliance, focusing on sustainability and social responsibility
  • The significance of ESG criteria in healthcare procurement decisions is increasingly acknowledged
  • MedTech leaders are embracing circularity, energy efficiency, and waste reduction to differentiate their companies, capture market share and add value
 
The Shifting Landscape of ESG Reporting in the MedTech Industry
 
The MedTech industry is witnessing an evolution in its attitudes and practices regarding ESG reporting. ESG, short for environmental, social, and governance reporting, encompasses a set of standards defining criteria within these areas. These criteria serve as benchmarks for socially conscious individuals and stakeholders to evaluate the ethical stance of organisations. In their analysis, those engaging in investments are increasingly integrating these non-financial factors to assess both risks and growth prospects. Once considered primarily as a means of compliance, ESG reporting is now emerging as a strategic imperative for value creation and differentiation. This transformation reflects a broader societal shift towards sustainability, ethics, and responsible corporate behaviour. However, despite this momentum, the MedTech sector faces challenges and opportunities in fully integrating ESG considerations into its operations.
 
In this Commentary
 
This Commentary describes the evolving landscape of ESG reporting within the MedTech industry, highlighting its transformation from a compliance-driven activity to a strategic imperative for value creation and differentiation. We mention how increasing pressure from stakeholders and a broader societal shift towards sustainability have influenced this change in mindset, despite the sector's historical focus on regulatory compliance and product innovation. Through insights from recent surveys and industry analysis, we uncover the growing recognition of ESG's relevance among healthcare providers and the opportunities it presents for MedTech leaders to differentiate their enterprises. Additionally, we address the challenges faced by the industry in fully integrating ESG considerations into its operations, ranging from complex supply chains to regulatory constraints. Finally, we make some suggestions for enhancing the effectiveness of ESG reporting, emphasising the importance of standardisation, enhanced disclosure, and investor engagement. Through this exploration, we describe some actionable insights for MedTech leaders navigating the shifting landscape of ESG reporting to drive sustainable growth and long-term value creation.
 
Navigating the Evolving Landscape of ESG Reporting in MedTechs

Historically, the MedTech industry has lagged sectors like industrials and technology in prioritising ESG reporting. While these industries have long recognised the importance of sustainability and ethical business practices, MedTechs have traditionally focused more on regulatory compliance and product innovation. However, recent years have witnessed a significant change in this narrative.
 
Driven by increasing pressure from investors, customers, and regulatory bodies, the industry is now acknowledging the importance of addressing sustainability and social responsibility concerns. This shift in mindset is further driven by the realisation of the potential impact of MedTech products and operations on environmental and social issues. Despite progress, the industry grapples with challenges such as complex supply chains, regulatory constraints, and unique ethical dilemmas inherent in healthcare delivery.
 
A recent (2023) survey undertaken by Bain, a consulting firm, underscores the growing recognition of ESG's significance among healthcare providers. The findings reveal a widespread anticipation of an uptick in the importance of ESG criteria in procurement decisions over the next five years. Notably, while certain factors like corruption, transparency, and employee safety are already deemed essential, others such as diversity, equity, inclusion, and environmental sustainability are positioned to gain prominence.
 
In this rapidly changing ecosystem, MedTech companies have an opportunity to distinguish themselves by embracing ESG initiatives that deliver tangible value. Practices such as circularity [production and consumption, which involves sharing, reusing, and repairing existing materials and products], energy efficiency improvements, and waste reduction resonate strongly with customers across different regions. Moreover, the Bain research highlights a spectrum of ESG leadership among MedTech companies, suggesting room for differentiation and competitive advantage.
 
As ESG continues to increase in importance, industry leaders should consider adopting a proactive approach to value creation. This involves strategic decisions on meeting minimum requirements to mitigate risk while also investing in areas that exceed industry standards. By focusing on selected areas of ESG differentiation, companies can not only win over procurement leaders but also capture significant market share in the evolving environment of healthcare procurement.
 
ESG Reporting in MedTechs

For MedTechs, ESG reporting serves the purpose of ensuring socially responsible and sustainable operations while driving healthcare innovation. Environmental concerns involve minimising waste, energy consumption, and carbon emissions, as well as encouraging eco-friendly materials and sustainable packaging practices. Social considerations encompass labour practices, diversity and inclusion, community engagement, and the imperative of prioritising employee wellbeing while maintaining standards across supply chains. Governance pertains to internal policies, leadership structures, transparency, and accountability mechanisms, ensuring ethical behaviour and regulatory compliance. By integrating ESG principles, enterprises not only mitigate risks but also enhance their reputation, attract investors, and contribute positively to society and the environment while advancing healthcare innovation. ESG reporting is pivotal for MedTechs, showcasing accountability, transparency, and sustainability efforts. It enhances reputation and trust among stakeholders, aids in effective risk management, provides access to capital, drives innovation and competitive advantage, ensures regulatory compliance, and fosters shareholder engagement. Ultimately, ESG reporting aligns financial performance with positive social and environmental impacts, supporting MedTech's pursuit of sustainable growth and long-term value creation for all stakeholders.
 
Challenges in ESG Reporting

The absence of standardised frameworks and metrics hinders comparison of ESG performance among MedTech companies, making it difficult for stakeholders to assess sustainability and social responsibility accurately. Without clear standards and oversight, there is a risk of greenwashing where companies exaggerate or misrepresent their environmental or social initiatives to appear more responsible than they are, undermining the credibility of ESG reporting. Despite its increased emphasis, some MedTechs provide limited or selective information, particularly regarding social and governance practices, complicating stakeholders' ability to gauge a company's societal impact fully.
 
Implementing effective ESG reporting faces several challenges, including cost and complexity. It can be expensive and resource-intensive, particularly for smaller companies with limited budgets and capacity. It requires investment in data collection, analysis, and reporting systems, as well as specialised expertise to interpret and communicate ESG performance effectively. Furthermore, ESG ratings and assessments frequently involve subjectivity and depend on various methodologies and criteria, resulting in discrepancies and confusion among those involved. This absence of standardisation presents challenges for investors, consumers, and other interested parties in accurately comparing the ESG performance of various companies.
 
Furthermore, ESG reporting is largely unregulated, allowing companies to choose what and how they disclose information, leading to inconsistencies in reporting practices and undermining the credibility and reliability of ESG disclosures. Conflicts of interest, such as consulting relationships between rating agencies and the companies they evaluate, may influence ESG ratings and assessments, raising concerns about objectivity and independence. Data collection can be challenging, particularly for MedTechs with complex operations and supply chains, requiring robust data collection processes, verification mechanisms, and transparency in reporting practices.
 
Integrating ESG considerations into business strategy and decision-making entails alignment across various functions and levels of the organisation, which can be demanding, particularly if ESG goals clash with short-term financial objectives or if there is limited comprehension of the business case for sustainability. Effective ESG reporting also demands meaningful engagement with various parties, including investors, employees, customers, communities, and civil society organisations. However, practices related to engaging stakeholders may exhibit inconsistencies or inadequacies, resulting in gaps in understanding and addressing key ESG issues.
 
Tackling these challenges necessitates concerted efforts from companies, investors, regulators, and other interested parties to enhance transparency, standardisation, and accountability in ESG reporting practices. This might entail establishing industry-wide standards and guidelines, reinforcing regulatory oversight, improving data quality and verification processes, and promoting increased collaboration and engagement among involved parties.
 
Enhancing the Effectiveness of ESG Reporting

To enhance the effectiveness of ESG reporting and leverage it as a strategic tool for positive change and to add value, consider: (i) Fostering the development and adoption of standardised frameworks and reporting guidelines for ESG disclosure. Collaborate with industry associations, regulatory bodies, and standard-setting organisations to promote consistency and comparability in ESG reporting practices. Support initiatives aimed at harmonising its requirements across jurisdictions to streamline compliance and enable meaningful cross-border comparisons. (ii) Advocate for stronger regulatory mandates regarding ESG disclosure, including the mandatory reporting of material ESG risks, opportunities, and performance indicators. Encourage your company to provide detailed and transparent ESG disclosures, encompassing quantitative data, targets, and progress toward sustainability objectives. Promote the adoption of integrated reporting frameworks that merge financial and ESG information to offer a comprehensive view of your company's performance and value creation. (iii) Develop educational programmes and training initiatives to underscore the significance of ESG factors in decision-making, risk management, and the establishment of long-term strategic value. Cultivate productive dialogue and interaction between your company and interested parties on ESG matters, encouraging avenues for shareholder resolutions, proxy voting, and direct engagement with board members and management. Advocate the integration of ESG considerations into investment processes, asset allocation strategies, and stewardship activities, including the integration of ESG criteria into investment policies and portfolio construction.
 
By implementing these recommendations, stakeholders can collaborate to bolster ESG reporting practices, enhance transparency and accountability, and foster sustainable business approaches that deliver enduring value for investors, companies, and society at large.
 
Takeaways

The MedTech industry is experiencing a shift in its approach to ESG reporting, moving beyond compliance to embrace it as a strategic tool for value creation and differentiation. This transformation reflects a broader societal trend towards sustainability, ethics, and responsible corporate behaviour. While historically lagging other sectors in prioritising ESG reporting, recent years have seen MedTech companies recognising the significance of sustainability and social responsibility, driven by pressure from investors, customers, and regulators. Despite facing unique challenges such as complex supply chains and regulatory constraints, the industry is increasingly acknowledging the potential impact of its products and operations on environmental and social issues. The growing recognition of ESG's relevance, as evidenced by surveys indicating its increasing importance in procurement decisions, underscores the need for companies to embrace ESG initiatives that deliver tangible value. By focusing on areas such as circularity, energy efficiency, and waste reduction, MedTechs can differentiate themselves in the market and gain a competitive advantage. Furthermore, there are opportunities for leaders in the field to proactively invest in surpassing prevailing standards, thus seizing market share, and fostering sustained value creation in the evolving landscape of healthcare procurement. As ESG continues to rise in importance, embracing these principles will not only enhance the reputation and sustainability of MedTech companies but also contribute to positive societal and environmental outcomes.
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  • Effective MedTech leadership in the next decade requires adept navigation of companies through evolving markets, technological advancements, and simultaneous management of established legacy businesses
  • Historically, MedTech leaders have been drawn from a limited pool, potentially slowing effective adaptation to new technologies, and markets
  • This has allowed tech giants to disrupt the sector, emphasising a shift from the development of physical devices to integrated healthcare solutions
  • The 4th industrial revolution (Industry 4.0) is crucial in facilitating the transformation, breaking down traditional boundaries between medical devices, pharmaceuticals, software, and patient data
  • Executives with experience in service-based sectors adjacent to MedTech may be better equipped to lead, leveraging their tech-centric background to capitalise on digital technologies and big data strategies for successful adaptation and thriving in the evolving healthcare ecosystem
 
Is MedTech Entering a New Era of Leadership and Purpose-Driven Innovation?
 
MedTech leadership is at a crossroads, demanding a strategic overhaul to tackle unprecedented sector changes anticipated over the next decade. Navigating this evolving landscape requires reconciling traditional manufacturing expertise and cutting-edge digital capabilities. A forward-thinking CEO with digital acumen is pivotal for innovation, yet the complexities of manufacturing and stringent regulatory frameworks remain crucial. In response, it seems reasonable to suggest that a collaborative leadership approach would be optimal, pairing a visionary CEO with digital expertise alongside a seasoned COO well-versed in manufacturing and regulatory compliance. This, would not only alleviate the burden on a single leader but also combine the strengths of both domains, fostering a more resilient leadership model. By strategically aligning these skill sets, MedTech companies would be better positioned to adeptly bridge the gap between tradition and digital evolution amid the complexities of an increasingly competitive market.

Historically, MedTech leadership, drawn from a limited pool of individuals, may fall short in ensuring commercial success in the coming decade. The sector's reluctance to swiftly embrace emerging technologies has created an opening for tech giants to disrupt it, mirroring the upheavals witnessed in financial markets.
 To thrive, MedTech companies must shift from developing physical devices to strategically promoting integrated healthcare solutions and services. The 4th Industrial Revolution, (Industry 4.0) plays a pivotal role in this evolution, breaking down traditional boundaries between medical devices, pharmaceuticals, software, and patient data. It reshapes connections among the physical, biological, and digital realms within the healthcare sector, emphasising advanced data and digitalisation strategies.

In this paradigm shift, traditional MedTech executives may find themselves ill-equipped to lead effectively. Executives from adjacent service-based sectors, with a tech-centric background, seem better positioned to spearhead this transformation. Leveraging their expertise, these leaders can adeptly capitalise on digital technologies and utilise big data strategies to navigate and adapt business models. Strategic leadership from executives with a tech-centric background is essential for MedTech companies to survive and thrive in the future.
 
In this Commentary
 
This Commentary has two parts. Part 1: The MedTech Market describes opportunities and challenges within the evolving dynamic global market. Part 2: Navigating MedTech’s Evolutionary Challenges, examines the limitations of current MedTech leadership, suggesting a shift towards diverse skills, backgrounds, and perspectives. Future MedTech leaders need expertise in digital technologies, data analytics, and innovative business models, coupled with an understanding of global markets and a compelling sense of purpose to engage and inspire Generation Zs. Takeaways raise the likelihood that existing MedTech executives may be ill-equipped for upcoming industry transformations, highlighting the potential of leaders from service-based sectors with proven strategic agility and innovation.
 
Part 1
The MedTech Market

Currently, MedTech is undergoing a transformation, and shedding its traditional conservative image. The industry's growth is driven by various factors, such as the aging global population, an uptick in chronic diseases, and an increasing trust in medical devices among clinicians and consumers, which has fostered stronger collaborations between MedTech and pharmaceutical companies. Although the US and the EU continue to be significant contributors to MedTech markets, they face hurdles, including increasingly stringent regulations, shifts in reimbursement policies, and elevated costs linked to advanced medical technologies.
 
About two decades ago, foreseeing constraints, some large MedTechs like Johnson & Johnson (J&J), Abbott, and Medtronic, strategically established manufacturing and research and development (R&D) centres in emerging markets such as Brazil, China, and India. Back then, these markets were undergoing substantial growth, fuelled by burgeoning middle-class populations with an increasing demand for improved healthcare services. This situation not only presented strategic opportunities for continuous expansion but also served as a buffer against the escalating difficulties experienced by MedTechs in the more mature Western markets.
 
Despite facing challenges, the global MedTech market continues to be a promising arena for growth and innovation, extending its reach across diverse sectors and geographies. Projections indicate that its global revenues will reach ~US$610bn in 2024, with an anticipated compound annual growth rate (CAGR) of ~5.2%. This trajectory points towards a substantial market volume of ~US$748bn by 2028. The US stands as the primary revenue contributor, expected to reach ~US$216bn in 2024. Historically, MedTech business models have predominantly targeted affluent markets in the US, Western Europe, and Japan, comprising only ~13% of the world's population but holding a significant market share. This historical skew allowed MedTech leaders to focus their marketing efforts on healthcare providers in prosperous developed regions, benefitting from favourable fee for service reimbursement policies. Notwithstanding, recent years have witnessed a tightening of the wealthy Western markets.
In the coming decade, MedTech sectors in emerging regions are set to experience significant growth. For example, in 2024 China's MedTech revenues are anticipated to realise ~US$46bn, with a projected CAGR to 2028 of ~7.5%. This growth trajectory is expected to culminate in a market volume of ~US$61bn in the near term. In the face of dynamic shifts, MedTech leaders are confronted with the challenge of recalibrating their strategies to ensure sustained success amid challenging global politico-economic conditions and the use of more demanding outcome-based healthcare reimbursement models in traditional wealthy Western markets.


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Healthcare 2040


 
Following a peak in late 2021, MedTech stocks faced a setback around mid-2022, losing a significant portion of the gains accumulated during the Covid-19 pandemic. By July 2023, growth had slowed, with MedTech valuations showing only a modest increase of ~22% compared to January 2020. During this period, trading multiples experienced a decline, dropping from a peak of ~16x in September 2021 to ~7x by mid-2023, falling below the industry's 10-year average of ~8x.
 
Although there have been some recent improvements, the 2023 EY, Pulse of the MedTech Industry Report raised concerns about challenges ahead for the sector. In the post-Covid landscape, the industry is grappling with significant hurdles, including a notable decline in public valuations and ~30% decrease in financing. These challenges manifest in various aspects, such as a downturn in special-purpose acquisition company (SPAC) deals, a substantial decrease in the total value of initial public offerings (IPOs), and a slump of ~21% in venture capital (VC) funding. Compounding these issues is a decline of ~44% in merger and acquisition (M&A) activity.
 
Traditionally, M&A has played a crucial role for MedTechs, contributing to scale, operational leverage, financial performance, product portfolio diversification, improved therapeutic solutions, and international expansion - all while maintaining core manufacturing structures and strategies. Moreover, post-Covid, revenue growth has experienced a significant dip, dropping from ~16% in 2021 to ~3.5% in 2022, and remaining flat in 2023. The anticipated future growth of ~5% may encounter challenges due to a potential scarcity of new disruptive product offerings. These challenges have implications for equity investment, which hit a seven-year low in 2023, declining by ~27% to ~US$14bn. Notably this impacts smaller, innovation-driven firms.


A positive recent trend is the rapid growth of digital health with expected global revenues set to reach ~US$194bn by 2024, with a projected CAGR of ~9% from 2024 to 2028, which would deliver a market volume of ~US$275bn by 2028. China leads in global revenue generation for digital health, reaching ~US$53bn in 2024. However, many large diversified MedTechs with legacy products in slow-growing markets have yet to capitalise on this trend.
 
MedTech stands at a critical juncture, navigating challenges that necessitate a strategic overhaul for sustained success. The decline in key financial indicators and the sluggish pace of innovation pose significant threats, obliging leaders to embrace transformative strategies and capitalise on emerging trends, particularly in digital health, to secure a resilient future.

 
Part 2
Navigating MedTech’s Evolutionary Challenges

Changes in the MedTech landscape introduce difficulties for executives striving to stay abreast of technological advances and transformative shifts, particularly in emerging economies. Compounding these obstacles is the prevalence of middle-aged men in leadership roles, perpetuating traditional management styles that may impede the necessary adaptations required for growth.

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Redefining Leadership In The Evolving Landscape Of MedTech

Despite women constituting >50% of the MedTech workforce and significantly influencing healthcare decisions, they are underrepresented in executive positions. Addressing these disparities is not just a moral obligation but a strategic imperative to unlock the full potential by embracing diverse perspectives and talents. The historical contributions of women in healthcare underscores the urgency of closing the gender gap in MedTech leadership.
Further complicating matters is the median age of C-suite executives; ~56. This demographic nearing retirement, suggests that many company leaders embarked on their professional journeys before the pervasive influence of the Internet, email, and the rise of social media platforms, creating a technological generation gap. The sector's historical reliance on affluent markets in the US and Europe, coupled with fee-for-service healthcare policies, poses challenges in adapting to emerging markets and reimbursement policies centred on patient outcomes.
 
The integration of artificial intelligence (AI) and machine learning (ML) into medical devices adds another layer of complexity, necessitating a paradigm shift. However, this transformation proves challenging for traditional leaders, given that these impactful changes unfolded during the mature phases of their careers. Notably, out of ~691 FDA-approved algorithms functioning as medical devices, ~35% received clearance in 2022 and 2023. Despite the urgent need for adaptation, persistent leadership obstacles hinder progress, particularly in understanding and aligning with the fluidity of rapidly evolving technologies in new markets.
 
MedTech leaders face challenges in understanding the dynamics of emerging markets, especially in economically vibrant regions like Brazil, India, China, and sizable African nations. These areas experience economic development and a growing middle class, leading to increased demand for advanced healthcare. The global acumen gap is further intensified by a lack of first-hand experience among these professionals in these regions, presenting a hurdle to effective guidance. Consequently, many MedTech executives seem to struggle with delivering impactful direction, given the disconnect with transformative trends in emerging markets and advancing technologies. Addressing these perspective and knowledge gaps requires more than incremental adjustments; it calls for a shift in mindset and a recalibration.
 
Significant changes in MedTech call for a departure from traditional top-down directives towards an empowering leadership style. The sector now demands a new breed of leaders - tech savvy individuals with global experience capable of understanding and connecting with the needs and aspirations of Generation Z employees. This demographic shift in the workforce requires leaders who not only comprehend evolving technologies but also align with the values and expectations of today's highly skilled, young professionals. Beyond the pursuit of shareholder value, this demographic craves purpose-driven leadership and seeks companies with a clear sense of mission and societal impact. In this context, MedTech companies face a stark choice: adapt to lead with purpose or risk being left behind.
 
Takeaways

The future leadership of MedTech companies stands at a critical juncture as it is potentially faced with unprecedented changes over the next decade. While the necessity of a forward-looking CEO with digital acumen is essential for strategic innovation, the persisting challenges of manufacturing and regulatory frameworks highlight the need for a more collaborative leadership approach. To address this, we have proposed a strategic collaboration between a visionary CEO equipped with digital expertise and a seasoned COO skilled in manufacturing and compliance. It seems reasonable to assume that this would not only ease the burden on a single individual but also harness the strengths of both, fostering a more resilient leadership approach. Further, it recognises that navigating change demands a balance between embracing digital evolution and maintaining a strong foundation in traditional manufacturing and regulatory compliance. Future MedTech leaders must be able to bridge knowledge and perspective gaps, align with emerging technologies, and connect with the aspirations of the evolving workforce. The shift towards a more empowering leadership style, coupled with an understanding of Industry 4.0 principles and the dynamics of emerging markets, is essential for sustained success in a rapidly evolving market.

The urgency for MedTech leaders to adopt a forward-thinking, adaptable, and purpose-driven approach cannot be overstressed. The industry's capacity to allure and retain talent, foster innovation, and make substantial contributions to global healthcare pivots on a commitment to purposeful leadership and the incorporation of transformative strategies. In this demanding journey, the judicious collaboration between a forward-looking CEO and a traditional COO emerges as a strategic imperative, ensuring a comprehensive and resilient leadership model that can thrive in the next decade. 
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  • Since 2000 healthcare has been transformed by genomics, AI, the internet, robotics, and data-driven solutions
  • Traditional providers, anchored in outdated technologies, struggle to keep pace with the evolving healthcare landscape
  • Over the next two decades anticipate another seismic shift, bringing further disruptions to medical technology and healthcare delivery
  • In the face of this imminent transformation, risk-averse leaders may cling to outdated portfolios, showing little interest in adapting to a 2040 healthcare ecosystem
  • Providers must decide; embrace change now and thrive in a transformed healthcare landscape, or stick to the status quo and risk losing value and competitiveness
 
Healthcare 2040
 
Abstract

By 2040, the landscape of healthcare will have undergone a seismic shift, discarding antiquated models in favour of cutting-edge AI-genomic-data-driven approaches that will radically change both medical technology and healthcare delivery. This transformation signifies a departure from the conventional one-size-fits-all system, ushering in an era of targeted therapies grounded in molecular-level insights that challenge entrenched healthcare paradigms. The evolving healthcare narrative emphasises prevention, wellbeing, personalised care, and heightened accessibility. This departure from the norm is not a trend but a significant reconfiguration, where the fusion of biomedical science, technology, and expansive datasets merge to facilitate early detection and proactive interventions. This not only deepens our comprehension of diseases but also elevates the efficacy of therapies. At the core of this transformation is the empowerment of individuals within a framework that champions choice and fosters virtual communities. Genetic advancements, far from just addressing hereditary conditions, play an important role in enhancing diagnostic accuracy, optimising patient outcomes, and fundamentally shifting the focus from reactive diagnosis and treatment to a proactive commitment to prevention and holistic wellbeing. The indispensable roles played by genomics and AI-driven care in reshaping healthcare are not isolated occurrences; they will catalyse the emergence of new data-intensive R&D enterprises, which are poised to redefine the healthcare landscape against a backdrop of multifaceted influencing factors. Successfully navigating this transformative period necessitates a distinct set of capabilities and strategic alignment with an envisioned 2040 healthcare environment.

Providers find themselves at a crossroads, confronted with a choice: adapt and thrive or risk losing value and competitiveness in a rapidly evolving landscape. Recognising potential resistance to change and the scarcity of pertinent capabilities, leaders of traditional enterprises must acknowledge that immediate strategic action is not just beneficial but a prerequisite for success in the redefined healthcare ecosystem of 2040. The urgency of this call to action cannot be overstated, as the window of opportunity for adaptation narrows with each passing moment.

 
In this Commentary

This Commentary aims to help healthcare professionals to strategically reposition their organizations for success in the next two decades. Leaders must evaluate their strengths and weaknesses in the context of an envisioned future and implement strategies to align their organisations with the demands of a rapidly changing health ecosystem. Failure to do so will dent enterprises’ competitiveness and threaten their survival. Leaders should anticipate and address resistance to change among executives with a preference for the status quo. The Commentary has two sections: Part 1, Looking Back 20 Years, describes the scale and pace of change since 2000 and emphasises how genomics, the internet, AI, digitalization, data-driven solutions, robotics, telehealth, outpatient services, personalised care, ubiquitous communications, and strategic responses to demographic shifts have transformed medical technology and healthcare delivery. Part 2, Looking Forward 20 Years, seeks to stimulate discussions about the future of healthcare. While we highlight a range of factors positioned to impact medical technology and healthcare deliver in the future, we emphasise the significance of genomics, varied and vast datasets, and AI. We suggest the emergence of specialised agile, AI-driven research boutiques with capabilities to leverage untapped genomic, personal, and medical data. The proliferation of such entities will oblige traditional healthcare enterprises to reduce their R&D activities and concentrate on manufacturing. Over the next 20 years, anticipate an accelerated shift towards patient-centric, cell-based prevention and wellbeing care modalities, large hospitals replaced with smaller hubs of medical excellence, the rapid growth of outpatient centres, and the acceleration of home care and care-enabled virtual communities. The future dynamic healthcare ecosystem necessitates stakeholders to change immediately if they are to survive and prosper. Takeaways posit a choice for healthcare leaders: either stick to the status quo and risk losing value and competitiveness or embrace change and stay relevant.
 
Part 1
 
Looking Back 20 Years

Reflecting on the past two decades shows the rapid evolution and interplay of factors shaping medical technology and healthcare delivery. Appreciating the speed and scale of change helps to envision the future. Factors such as genomics, the Internet, AI, robotics, digitalisation, data-driven health solutions, telehealth, outpatient services, home care, personalised wellbeing, ubiquitous personal telephony, and strategic responses to demographic shifts have all influenced medical technology and healthcare delivery and will continue to do so in the future. Here we describe a few of these factors.

The completion of the Human Genome Project in 2003 was a pivotal moment in the direction of medical advancement, laying the foundations for the emergence of genomics. Genomics, encapsulating the mapping, sequencing, and analysis of DNA, is a pivotal tool for unravelling molecular information, variations, and their implications in both traits and diseases. This achievement not only transformed biomedical research but also changed healthcare, shifting it from a generic one-size-fits-all approach to finely tuned care tailored to the unique genetic makeup of individuals.

Over the past two decades, the decoding of the human genetic blueprint has provided unprecedented insights into diseases at the molecular level, triggering a paradigm shift in medicine. This ushered in an era of personalised and precision approaches to diagnoses, treatments, and prevention. From the advent of targeted therapies to the implementation of genetic screening, genomic research has had a transformative influence and is positioned to continue its impact on healthcare.

Indeed, genomic testing has become a standard practice, and US Food and Drug Administration (FDA)-approved genomic care modalities have advanced medicine. For example, pharmacogenonics tailors drug treatments to individual patients by utilising genetic information, with FDA-approved tests for specific biomarkers that predict medication responses. Hereditary assessments evaluate an individual's cancer risk based on genetic makeup, such as identifying BRCA gene mutations linked to elevated risks of breast and ovarian cancers. Gene expression profiling analyses a patient's tumour genetics to guide targeted cancer therapies, with FDA-approved companion diagnostic tests for specific cancer treatments. Carrier testing identifies genetic mutations that could be passed on to children, which contribute to family planning and prenatal care. Pharmacodiagnostic tests help pinpoint patients that would benefit from specific drug treatments, predicting responses, especially in cancer therapies.

In 2012, the UK government inaugurated Genomics England, an initiative designed to spearhead the 100,000 Genomes Project, which aimed to sequence the genomes of 100,000 patients with infectious diseases and specific cancers. The project’s goals included the enhancement of our understanding of various genetic factors in diseases, the facilitation of targeted treatments and establishing a framework for the integration of genomics into everyday clinical practice. The successful completion of the project in 2018, provided a basis for genomic medicine and a deeper understanding of the genetic framework influencing health and disease.

In addition to genomic data, since 2000, there has been a significant increase in health-related data, driven by the proliferation of electronic health records (EHRs), developments in information management technologies, initiatives to improve healthcare efficiency, and enhanced communications among stakeholders. The growth in data has, in turn, created opportunities for the utilisation of AI and machine learning (ML) algorithms. Over the last two decades, AI has changed medical technology and healthcare delivery by enhancing diagnostics, personalising treatment plans, streamlining administrative tasks, and facilitating research through efficient data analysis, which has improved patient outcomes, and advanced the field. As of January 2023, the FDA has approved >520 AI and ML algorithms for medical use, which are primarily related to the analysis of medical images and videos. Indeed, the rise of algorithms has transformed healthcare, with many of them focusing on predictions using EHRs that do not require FDA approval.

In addition to EHRs there has been the evolution of wearable technologies like the Apple Watch and Fitbit, which have transformed personal health. Initially focusing on fitness tracking, these devices have expanded to monitor an array of health metrics. Over the years, they have amassed vast amounts of personalised data, ranging from activity levels to heart rate patterns. These data reservoirs are a goldmine for healthcare and wellbeing strategies, enabling individuals, healthcare professionals and providers to gain unprecedented insights into health trends, customised care routines, and the early detection of health issues. This combination of technology and health data has created opportunities for proactive healthcare management and personalised wellbeing interventions.

Targeted medicine not only benefitted from AI but also from personalised telephony, which experienced a significant boost in the early 2000s by the widespread internet access in households across the globe. The period was marked by the introduction of the iPad in 2001, closely followed by the launch of the iPhone. These innovations triggered widespread smartphone use and accessible internet connectivity, laying the foundations for the emergence of telehealth and telemedicine. In the early 2000s, global cell phone subscriptions numbered ~740m. Today, the figure is >8bn, surpassing the world's population. This increase was driven by the proliferation of broadband, the evolution of mobile technologies and the rise of social media, all contributing to the ubiquitous presence of the internet. By the 2010s, the internet had integrated into the daily lives of a substantial portion of the global population. Initially, in 2000, ~7% of the world’s population had access online. Contrastingly, today, >50% enjoy internet connectivity. In a similar vein, broadband access in American homes has surged from ~50% in 2000 to >90% in the present day. Personal telephony has evolved into an omnipresent force, and has become an integral part of billions of lives, actively enhancing health and wellbeing on a global scale. After 2010, patient-centric wellbeing evolved and later was helped by Covid-19 pandemic lockdowns, with telehealth and telemedicine offering remote consultations and treatments, empowering patients, and emphasising shared decision-making between healthcare providers and patients.

On a more prosaic level, consider how robotics has changed surgery over the past two decades by offering enhanced precision, reduced invasiveness, and improved recovery times. The use of robotic systems, like the da Vinci Surgical System, which gained FDA-approval in 2000, has allowed surgeons to perform complex procedures with greater accuracy. Between 2012 and 2022, the percentage of surgical procedures using robotic systems rose from 1.8% to 17%. Robotic surgery is becoming increasingly popular, with an annual growth rate of ~15%. In 2020, its global volume was 1.24m, with the US accounting for >70% of all robotic surgeries.

The shifting demographics over the past few decades, marked by decreasing birth rates, prolonged life expectancy, and immigration, has transformed prosperous industrial economies, resulting in a substantial rise in the proportion of the elderly population. For instance, in the US in 2000, there were ~35m citizens ≥65; today, this figure has risen to ~56m, ~17% of the population. Concurrently, there has been an increase of chronic lifetime illnesses such as heart disease, diabetes, cancer, and respiratory disorders. In 2000, ~125m Americans suffered from at least one chronic condition. Today, this figure has increased to ~133m - ~50% of the population. Simultaneously, there is a shrinking pool of health professionals. Research suggests that by 2030, there will be ~5m fewer physicians than society will require. This, together with ageing populations, the growing burden of chronic diseases and rising costs of healthcare globally are challenging governments, payers, regulators, and providers to innovate and transform medical technology and healthcare delivery.

 
Part 2
 
Looking Forward 20 Years

This section aims to encourage healthcare professionals to envision the future. Over the next two decades, medical technology and healthcare delivery are likely to be affected by numerous interconnected factors, which include: (i) continued progress in AI and ML, internet of things (IoT), robotics, nanotechnology, and biotechnology, (ii) advances in genomics, (iii) increasing availability of multi-modal data (genomics, economic, demographic, clinical and phenotypic) coupled with technology innovations, (iv) accelerated adoption of telemedicine and virtual monitoring technologies, (v) changes in healthcare regulations, (vi) an increase of patient-cantered care and greater patient involvement in decision-making, (vii) emerging infectious diseases, antimicrobial resistance, and other global health issues, (viii) Investments in healthcare infrastructure, both physical and digital, (ix) an evolving and shrinking healthcare workforce, including the further integration of AI technologies and changes in roles, (x) economic conditions and healthcare funding, (xi) the ethical use of technology, privacy concerns, and societal attitudes towards healthcare innovations, and (xii) environmental changes and their impact on health and wellbeing. Such factors and their interconnectivity are expected to drive significant healthcare transformation over the next two decades. Healthcare systems throughout the world are tasked with: (i) improving population health, (ii) enhancing patients’ therapeutic journeys and outcomes, (iii) strengthening caregivers’ experience and (iv) reducing the rising cost of care. There appears to be unanimous agreement among healthcare leaders that these goals will not be achieved by business as usual.
 
In November 2023, BTIG, a leading global financial services firm, organised its Digital Health Forum, bringing together >30 healthcare companies that offer a diverse range of products and services. During the event, executives discussed business models, reimbursement, and commercial strategies, and unanimously agreed that: "The market is primed for the mainstream integration of digital diagnostics and therapeutics."  Here we focus on the anticipated accelerated convergence of genomics and AI technologies, and foresee the emergence of agile, AI-driven R&D boutiques as key players in reshaping medical technology and healthcare delivery.
 
These dynamic research entities thrive on the power of data. Currently, ~79% of the hospital data generated annually goes untapped, and medical information is doubling every 73 days. This emphasises the vast latent potential within these repositories. Traditional enterprises and healthcare professionals, constrained by a dearth of data management capabilities, have struggled to unlock the full potential inherent in these vast stores of information. By contrast, the adept data processing capabilities of these new innovative enterprises position them strategically to harness untapped data sources, extracting valuable insights into disease states and refining treatment modalities. Moreover, they boast advanced technology stacks, seamless connections between semiconductors, software, and systems, and are well-prepared to leverage specialised generative AI applications as they emerge in the market. Armed with cutting-edge technology and extensive datasets, they stand ready to enhance diagnostic precision, streamline treatment approaches, and reduce overall healthcare costs. Private equity firms will be eager to invest in these disruptive AI start-ups, anticipating M&A activities focused on specific therapeutic areas that will make them appealing to public markets.

These innovative entities are set to expedite the introduction of disruptive solutions, improve patients' therapeutic journeys, and optimise outcomes while driving operational efficiencies. Anticipate them to overshadow their traditional counterparts, many of which have outdated legacy offerings and historically have treated R&D as small adjustments to existing portfolios. Given that many conventional healthcare enterprises have: (i) failed to keep pace with technological developments, (ii) a dearth of in-house data-handling capabilities, and (iii) no experience in data-heavy disruptive R&D, it seems reasonable to suggest that they will most likely retreat into their core manufacturing activities, relinquish their R&D roles and lose value.

In the forefront of seismic change, the integration of digitalisation, AI, and cutting-edge decision support tools propels the emerging agile, data-driven R&D enterprises into a pivotal role within the landscape of well-informed, personalised healthcare. Meticulously safeguarding sensitive information, these enterprises not only adhere to the highest standards of privacy but also elevate security measures through state-of-the-art encryption techniques and decentralised storage solutions. As staunch guardians of privacy, they go beyond conventional approaches, crafting data repositories that not only shield confidential information but also facilitate the seamless flow of critical insights crucial for advancing medical technology and elevating care delivery. The seamless synergy between vast genomic, economic, demographic, clinical, and phenotypic data repositories and advanced AI techniques is poised to radically change healthcare R&D, redirecting it away from refining traditional products towards disruptive endeavours. Moreover, these agile research entities are anticipated to encourage widespread industry cooperation, harnessing the power of diverse data sources to innovate health solutions and services that transcend boundaries, thereby playing an important role in shaping a borderless health and wellbeing ecosystem.

In the regulatory arena, a transformation is anticipated by 2040. Regulators are likely to evolve from enforcers to stewards of progress, collaborating with industry stakeholders to promote a consumer-centric healthcare. Advocating transparency, patients' rights, and ethical innovation, regulators will become influential drivers of progress, contributing to a shared and equitable healthcare future. This collaborative effort is expected to contribute to a data-driven healthcare ecosystem that prioritises individual wellbeing, innovation, and accessibility in equal measure.

By 2040, expect healthcare payers to have undergone a transformative change, fuelled by a seismic shift in medical technology and healthcare delivery. New payment models will prioritise individualised therapies and patient outcomes, leveraging real-time health data for customised coverage. AI will streamline administration, reduce costs, and enhance overall healthcare efficiency. Increased patient engagement and collaboration among payers, providers, and patients will drive a holistic, patient-centred approach, ultimately improving the quality and accessibility of healthcare services.


This section has emphasised the transformative forces of genomics and AI shaping a personalised healthcare ecosystem. While traditional medical technology and healthcare delivery may be predicated upon physical devices and a one-size-fits-all approach, the future lies in the fusion of data and smart software to accelerate targeted care, which marks a significant departure from the conventional.
 
Takeaways

The shift towards genomic-driven healthcare marks a transformation in the medical landscape expected by 2040. Moving away from outdated models, the trend towards personalised care, rooted in molecular insights, necessitates a revaluation from health professionals. This shift, facilitated by the fusion of biomedical science, advanced technologies, and vast amounts of varied data, foresees a future where prevention, individualised wellbeing, and improved accessibility become the new norm. The convergence of genomics and AI not only improves diagnostics and treatments but also points to prevention and overall wellness. This Commentary has highlighted the transformative impact of genomics and AI-driven healthcare at the cellular level, making way for data-intensive R&D enterprises that will shape the future of medical technology and healthcare delivery. The path to 2040 demands a departure from conventional norms of the past, requiring strategic realignment and specific capabilities. Traditional providers find themselves at a juncture: those that adapt to an envisioned care environment of 2040 are more likely to succeed, while those that resist risk becoming obsolete. By acknowledging potential obstacles to change and the scarcity of relevant capabilities, leaders are encouraged to recognise the urgency of strategic action as a prerequisite for success in the redefined healthcare landscape of 2040. The future is imminent, and the time for transformative readiness is now.
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MedTechs Battle with AI for Sustainable Growth and Enhanced Value
 
Preface
 
The medical technology industry has experienced significant growth, consistently surpassing the S&P index by ~15 percentage points. This success is rooted in the early 1990s, a time when capital was costly, with interest rates ~10%. However, as we moved closer to 1998, interest rates began to recede, settling just below 7%. This early era of growth was not devoid of challenges. The US was still grappling with the aftermath of the oil embargo imposed in 1973 by the Organization of the Petroleum Exporting Countries (OPEC), which was a response to the American government's support for Israel during the Yom Kippur War and had lasting consequences. The oil crisis triggered hyperinflation, leading to a rapid escalation in the prices of goods and services. In response, the US Federal Reserve (Fed) raised interest rates to a historic high of 17% in 1981, which was aimed at curbing inflation but came at the price of increasing the cost of borrowing. As we entered the 1990s, the landscape shifted. The Fed’s monetary policies began to work, inflation started to decline, and interest rates fell to ~10%, eventually dipping below 7% in 1998. This created conditions for increased investments in research and development (R&D) and the American economy blossomed and benefitted from the internet becoming mainstream. It was during this period that many medical technology companies developed innovative medical devices, which were not only disruptive but also found a receptive global market characterized by significant unmet needs and substantial entry barriers. In the ensuing years, the industry thrived and matured. Fast-forward to the present (2023), and we find ourselves in a different scenario. Over the past five years, numerous large, diversified MedTechs have struggled to deliver value. One explanation for this is that growth of these enterprises over the past three decades, except for the early years, was primarily driven by mergers and acquisitions (M&A), often at the expense of prioritizing R&D. Consequently, many large MedTechs did not leverage evolving technologies to update and renew their offerings and are now heavily reliant on slow-growth markets and aging product portfolios. Navigating a successful path forward would be helped by a comprehensive embrace of artificial intelligence (AI) and machine learning (ML) strategies, since these technologies possess the potential to transform how MedTechs operate, innovate, and serve their stakeholders.
 
In this Commentary

This Commentary explores the role of artificial intelligence (AI) in reshaping the future landscape of the MedTech industry in pursuit of sustainable growth and added value. We focus on the impact AI can have on transforming operational methodologies, fostering innovation, and enhancing stakeholder services. Our aim is to address five key areas: (i) Defining Artificial Intelligence (AI): Describes how AI differs from any other technology in history and sheds light on its relevance within the MedTech sector. (ii) Highlighting AI-Driven MedTech Success: In this section, we preview three leading corporations that have utilized AI to gain access to new revenue streams. (iii) Showcasing a Disruptive AI-Powered Medical Device: Here, we provide an overview of the IDx-DR system, an innovation that has brought disruptive change to the field of ophthalmology. (iv) The Potential Benefits of Full AI Integration for MedTechs: This section briefly describes 10 potential benefits that can be expected from a comprehensive embrace of AI by MedTechs. (v) Potential Obstacles to the Adoption of AI by MedTechs: Finally, we describe some obstacles that help to explain some MedTechs reluctance to embrace AI strategies. Despite the substantial advantages that AI offers, not many large, diversified enterprises have fully integrated these transformative technologies into their operations. Takeaways outline the options facing enterprises.
 
Part 1

Defining Artificial Intelligence (AI)

Artificial Intelligence (AI) is a ground-breaking concept that transcends the simulation of human intelligence. Unlike human cognition, AI operates devoid of consciousness, emotions, and feelings. Thus, it is indifferent to victory or defeat, tirelessly working without rest, sustenance, or encouragement. AI empowers machines to perform tasks once exclusive to human intelligence, including deciphering natural language, recognizing intricate patterns, making complex decisions, and iterating towards self-improvement. AI is significantly different to any technology that precedes it. It is the first instance of a tool with the unique capabilities of autonomous decision making and the generation of novel ideas. While all predecessor technologies augment human capabilities, AI takes power away from individuals.
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AI employs various techniques, including machine learning (ML), neural networks, natural language processing, and robotics, enabling computers to autonomously tackle increasingly complex tasks. ML, a subset of AI, develops algorithms that learn, adapt, and improve through experience, rather than explicit programming. The technology’s versatile applications span image and speech recognition, recommendation systems, and predictive analytics. In the quest to comprehend the intersection of artificial and human intelligence, we encounter Large Language Models (LLMs), like ChatGPT, which recently have gained prominence in corporate contexts. These advanced AI models grasp and generate human-like text by discerning patterns and context from extensive textual datasets. LLMs excel in language translation, content generation, and engaging in human-like conversations, effectively harnessing our linguistic abilities.


Part 2

Highlighting AI-Driven MedTech Success

This section briefly describes three examples of MedTechs that have successfully leveraged AI technologies to illustrate how AI’s growing influence drives improvements in accuracy, efficiency, patient outcomes and in the reduction of costs, which together, and in time, are positioned to transform healthcare.
 
Merative, formally Watson Health, a division of IBM that specialised in applying AI and data analytics to healthcare. In 2022, the company was acquired by Francisco Partners, an American  private equity firm, and rebranded Merative. The company leverages AI, ML, and LLMs to analyse extensive medical datasets that encompass patient records, clinical trials, medical literature, and genomic information. These technologies empower healthcare professionals by facilitating more informed decisions, identifying potential treatment options, and predicting disease outcomes. For instance, Merative employs ML to offer personalised treatment recommendations for cancer patients based on their medical histories and the latest research. Integrating LLMs enables natural language processing to extract insights from medical literature, helping healthcare providers stay current with scientific and medical advancements.
 
Google Health, a subsidiary of Alphabet Inc., focuses on using AI and data analysis to improve healthcare services and patient outcomes. It employs AI and ML to develop predictive models that can identify patterns and trends in medical data, which improve early disease detection and prevention. One notable application is in medical imaging, where the company's algorithms can assist radiologists to identify anomalies in X-rays, MRIs, and other images. LLMs are used to interpret and summarize medical documents, making it easier for healthcare professionals to access relevant information quickly. Google Health also works on projects related to drug discovery and genomics, leveraging ML to analyze molecular structures and predict potential drug candidates.
Medtronic is a global leader in medical technology, specializing in devices and therapies to treat various medical conditions. The company incorporates AI, ML, and LLMs into their devices and systems to enhance patient care. For instance, in the field of cardiology, Medtronic's pacemakers and defibrillators collect data on a patient's heart rhythms, which are then analyzed using AI algorithms to detect irregularities and adjust device settings accordingly. This real-time analysis helps to optimize patient treatment. Medtronic also employs AI in insulin pumps for diabetes management that can learn from a patient's blood sugar patterns and adjust insulin delivery accordingly. Additionally, LLMs are used to extract insights from electronic health records (EHR) and clinical notes, which help healthcare providers to make more personalized treatment decisions.
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Part 3

Showcasing a Disruptive AI-Powered Medical Device

AI has been applied to various medical imaging tasks, including interpreting radiological images like X-rays, CT scans, and MRIs and there are numerous AI-driven medical devices and systems that have emerged and evolved in recent years. As of January 2023, the US Federal Drug Administration (FDA) has approved >520 AI medical algorithms, the majority of which are related to medical imaging. Here we describe just one, the IDx-DR system, which was developed by Digital Diagnostics. In 2018, it became the first FDA-approved AI-based diagnostic system for detecting diabetic retinopathy. If left untreated, the condition can lead to blindness. Globally, the prevalence of the disease among people living with diabetes is ~27% and every year, >0.4m people go blind from the disorder. In 2021, globally there were ~529m people with diabetes, which is expected to double to ~1.31bn by 2050.
 
The IDx-DR device utilizes AI algorithms to analyze retinal images taken with a specialized camera and accurately detects the presence of retinopathy that occurs in individuals with diabetes when high blood sugar levels cause damage to blood vessels in the retina. Significantly, the device produces decisions without the need for retinal images to be interpreted by either radiologists or ophthalmologists, which allows the system to be used outside specialist centres, such as in primary care clinics. Advantages of the system include: (i) Early detection, which can improve outcomes and quality of life for individuals with diabetes. (ii) Efficiency. The system analyzes images quickly and accurately, providing results within minutes, which allows healthcare providers to screen a larger number of patients in a shorter amount of time. (iii) Reduced healthcare costs. By detecting retinopathy at an early stage, the system helps prevent costly interventions, such as surgeries and treatments for advanced stages of the disease, which can lead to significant cost savings for healthcare systems. (iv) Patient convenience. Patients undergo retinal imaging as part of their regular diabetes check-ups, reducing the need for separate appointments with eye specialists, which encourages enhanced compliance.

 
Part 4

The Potential Benefits of Full AI Integration for MedTechs

Large, diversified MedTechs stand to gain significant benefits by fully embracing AI technologies that extend across all aspects of their operations, innovation, and overall value propositions. In this section we briefly describe 10 such advantages, which include enhanced innovation, improved patient outcomes, increased operational efficiency, cost savings, and access to new revenue streams. Companies that harness the full potential of AI will be better positioned to thrive in the highly competitive and rapidly evolving healthcare industry.
 
1. Enhanced innovation and product development
AI technologies have the potential to enhance R&D endeavours. They accomplish this through the ability to dig deep into vast repositories of complex medical data, identifying patterns, and forecasting outcomes. This translates into a shorter timeline for the conception and creation of novel medical technologies, devices, and therapies. In essence, AI quickens the pace of innovation in healthcare. The capabilities of AI-driven simulations and modeling further amplifies its impact. These virtual tools enable comprehensive testing in a digital environment, obviating the need for protracted physical prototyping and iterative cycles, which can shorten the development phase and conserve resources, making the innovation process more cost-effective, and environmentally sustainable.
 
2. Improved patient outcomes
Beyond improving the research landscape, AI improves the quality of patient care by enhancing diagnostic precision through the analysis of medical images, patient data, and clinical histories. Early detection of diseases becomes more precise and reliable, leading to timelier intervention and improved patient outcomes. Additionally, AI facilitates the personalization of treatment recommendations, tailoring them to individual patient profiles and current medical research. This optimizes therapies and increases the chances of successful outcomes and improved patient wellbeing.
 
3. Efficient clinical trials
Increasingly AI algorithms are being used in clinical studies to identify suitable patient cohorts for participation in trials, effectively addressing recruitment challenges and streamlining participant selection. Further, predictive analytics play a role in enhancing the efficiency of trial design. By providing insights into trial protocols and patient outcomes, AI reduces both the time and costs associated with bringing novel medical technologies to market, which speeds up the availability of treatments and facilitates the accessibility of healthcare innovations to a broader population.
 
4. Operational efficiency
Operational efficiency is improved with the integration of AI technologies by refining operations. AI-driven supply chains and inventory management systems play a significant role in optimizing procurement processes. They analyze demand patterns, reduce wastage, and ensure the timely availability of critical supplies. By doing so, companies can maintain uninterrupted operations, enhancing their overall efficiency and responsiveness. Another component of operational efficiency lies in predictive maintenance, which can be improved by AI. Through continuous monitoring and data analysis, AI can predict equipment failures before they occur. Such a proactive approach minimizes downtime and ensures manufacturing facilities remain compliant and in optimal working condition. Consequently, healthcare providers experience improved operational efficiency, strengthened compliance, and a reduction in costly disruptions. The automation of routine tasks and processes via AI relieves healthcare professionals from repetitive duties and frees up resources that can be redirected towards more strategic and patient-centric initiatives. This reallocation reduces operational costs while enhancing the quality of care provided.
 
5. Cost savings
Beyond automation, AI-driven insights further uncover cost efficiencies within healthcare organizations. AI identifies areas where resource allocation and utilization can be optimized, which can result in cost reduction strategies that are both data-informed and effective. AI's potential extends to the generation of innovative revenue streams. Corporations can develop data-driven solutions and services that transcend traditional medical devices. For instance, offering AI-driven diagnostic services or remote patient monitoring solutions provides access to new revenue streams. Such services improve patient care and contribute to the financial sustainability of enterprises. Further, AI-enabled healthcare services lend themselves to subscription-based models, ensuring consistent and reliable revenue over time. Companies can offer subscription services that provide access to AI-powered diagnostics, personalized treatment recommendations, or remote monitoring, which have the capacity to diversify revenue streams and enhance longer-term financial stability.
 
6. New revenue streams
AI's ability to analyze vast datasets positions MedTechs to unravel the interplay of genetic, environmental, and lifestyle factors that shape individual health profiles. With such knowledge, personalized treatment plans and interventions can be developed, ensuring that medical care is tailored to each patient's unique needs and characteristics. This level of customization optimizes outcomes and minimizes potential side effects and complications. AI's ability to process vast amounts of patient data and detect patterns, anomalies, and correlations, equips healthcare professionals with the knowledge needed to make more informed decisions. Such insights extend beyond individual care, serving as the basis for effective population health management and proactive disease prevention strategies. In short, AI transforms data into actionable intelligence, creating a basis for more proactive and efficient healthcare practices.
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7. Regulatory compliance and safety
In an era of stringent healthcare regulations, AI is a reliable ally to ensure compliance and enhance safety standards. Through automation, AI streamlines documentation, data tracking, and quality control processes, reducing the risk of errors and oversights. Also, AI-powered systems excel in the early detection of anomalies and potential safety issues, which increase patient safety and the overall quality of healthcare solutions and services. This safeguards patient wellbeing and protects the reputation and credibility of companies.
8. Competitive advantage
MedTechs that are early adopters of AI stand to gain a distinct competitive advantage. They can offer AI-powered solutions and services that deliver superior clinical outcomes and improve overall patient experience. By harnessing the potential of AI, companies can position themselves as leaders in innovation and technological capabilities, likely drawing a loyal customer base, valuable partnerships, collaborations, and investments.
 
9. Talent attraction and retention
Embracing AI technologies also has an impact on talent attraction and retention. The allure of working on novel AI projects that improve lives attracts scarce tech-savvy professionals who seek to be part of dynamic, purposeful, and forward-thinking teams. Such talent contributes to a skilled workforce capable of extending the boundaries of AI innovation within MedTech companies. Further, fostering a culture of innovation through AI adoption encourages employee engagement and job satisfaction, leading to improved talent retention.
 
10. Long-term sustainability
The integration of AI goes beyond immediate advantages; it positions MedTechs for longer-term strategic growth and resilience. As the healthcare landscape continues to evolve, adaptability and innovation become more important. AI enables companies to adapt to changing market dynamics, navigate regulatory challenges, and remain relevant amidst industry transformations. By staying at the forefront of technological advancements, companies ensure their relevance and contribute to shaping the future healthcare landscape.
 
Part 5

Potential Obstacles to the Adoption of AI by MedTechs

The integration of AI technologies into numerous industries has demonstrated its potential to significantly enhance operations, improve R&D, and create new revenue streams. However, despite AI’s potential to contribute significant benefits for business enterprises, its adoption by many large, diversified medical technology companies has been limited and slow. This section describes some factors that help to explain the reluctance of senior MedTech executives to fully embrace AI technologies, which include an interplay of organizational, technical, and industry-specific issues. Without overcoming these obstacles, MedTechs risk losing the growth and value creation they once experienced in an earlier era.

Demographics of senior leadership teams
According to Korn Ferry, an international consultancy and search firm, the average age for a C-suite member is 56 and their average tenure is 4.9 years, although the numbers vary depending on the industry. The average age of a CEO across all industries is 59. If we assume that the MedTech industry mirrors this demographic, it seems reasonable to suggest that many corporations have executives approaching retirement who may be more risk averse and oppose the comprehensive introduction of AI technologies due to a fear of losing benefits they stand to receive upon retirement.

Organizational inertia and risk aversion
Large medical technology companies often have well-established structures, processes, and cultures that resist rapid change. In such an environment, executives might be hesitant to introduce AI technologies due to concerns about disrupting existing workflows, employee resistance to learning new skills, and the fear of failure. The risk-averse nature of the medical technology industry, where patient safety is critical, further amplifies executives' cautious approach to implementing unproven AI solutions.
 

Technical challenges and skill gaps
AI implementation requires technical expertise and resources. Many MedTech executives might lack a deep understanding of AI's technical capabilities, making it difficult for them to evaluate potential applications. Further, attracting and retaining AI talent is highly competitive, and the scarcity of professionals skilled in both medical technology and AI can hinder successful implementation.
Regulatory and ethical concerns
The medical field is heavily regulated to ensure patient safety and data privacy. Incorporating AI technologies introduces additional layers of complexity in terms of regulatory compliance and ethical considerations. Executives might hesitate to navigate these legal frameworks, fearing potential liabilities and negative consequences if AI systems are not properly controlled or if they lead to adverse patient outcomes.
Long development cycles and uncertain ROI
The R&D cycle in the medical technology industry is prolonged due to rigorous testing, clinical trials, and regulatory approvals. Although AI technologies have the capabilities to enhance R&D efficiency, they can introduce additional uncertainty and complexity, potentially extending development timelines. Executives could be apprehensive about the time and resources required to integrate AI into their R&D processes, especially if the return on investment (ROI) remains uncertain or delayed.
 

Industry-specific challenges
The medical technology industry has unique challenges compared to other sectors. Patient data privacy concerns, interoperability issues, and the need for rigorous clinical validation can pose barriers to AI adoption. Executives might view these complexities as additional hurdles that could hinder the successful implementation and deployment of AI solutions.
  

Existing Revenue Streams and Incremental Innovation
Many large, diversified MedTechs generate substantial revenue from their existing products and services. Executives might be reluctant to divert resources towards AI-based ventures, fearing that these investments could jeopardize their core revenue streams. Additionally, a culture of incremental innovation prevalent in the industry might discourage radical technological shifts like those associated with AI.

 
Takeaways
 
Hesitation among MedTechs to integrate AI technologies poses the threat of missed opportunities, diminished competitiveness, and sluggish growth. This reluctance hinders innovation and limits the potential for enhanced patient care. Embracing AI is not an option but a strategic imperative. Failure to do so means missing opportunities to address unmet medical needs, explore new markets, and access new revenue streams. The potential for efficiency gains, streamlined operations, and cost reductions across R&D, manufacturing and supply chains is significant. Companies fully embracing AI gain a competitive advantage, delivering innovative solutions and services that improve patient outcomes and cut healthcare costs. Conversely, those resisting AI risk losing market share to more agile rivals. AI’s impact on analysing vast amounts of complex medical data, accelerating discovery, and enhancing diagnostics is well established. MedTechs slow to leverage AI may endure prolonged R&D cycles, fewer breakthroughs, and suboptimal resource allocation, jeopardising competitiveness and branding them as ‘outdated’. In today’s environment, attracting top talent relies on being perceived as innovative, a quality lacking in AI-resistant MedTechs. As AI disrupts industries, start-ups and smaller agile players can overtake established corporations failing to adapt. A delayed embrace of AI impedes progress in patient care, diagnosis, treatment, and outcomes, preventing companies from realising their full potential in shaping healthcare. The time to embrace AI is now to avoid irreversible setbacks in a rapidly evolving MedTech ecosystem.
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