History, however, offers a useful caution. Breakthrough technologies in medicine rarely achieve their full potential simply because they exist. Their real impact depends on whether the institutions responsible for health-care delivery know how to adopt them wisely, integrate them responsibly and align them with their mission to improve patient health.

Artificial intelligence now stands at that same threshold. The industry has moved beyond fascination with what algorithms can do and entered a more demanding phase: determining how these tools should be evaluated, governed, and integrated into the environments where care is delivered. At the same time, some health professionals are turning to AI – not to augment their knowledge – but assuming the information is patient-care ready.

Across the health ecosystem, leaders are discovering that the most important questions about artificial intelligence are not technological. They are organizational, ethical and operational. Which AI systems genuinely improve clinical decision-making? Which tools strengthen the efficiency of hospitals and health systems? Which innovations introduce complexity without delivering measurable benefit?

Answering those questions requires a perspective that bridges policy leadership, real-world care delivery, and the scientific foundations of biomedical informatics. That convergence of experience sits at the center of a “Views From the Top” mainstage discussion at the HIMSS Global Health Conference & Exhibition, where some 35,000 leaders whose work spans the global health ecosystem will examine how organizations can recognize the true value proposition of artificial intelligence applications before embedding them into health-care systems.

The perspectives shaping this discussion reflect three essential dimensions of responsible artificial intelligence in health: governance frameworks that guide innovation, operational insights from large-scale health care delivery, and scientific rigor grounded in biomedical informatics. Together, these vantage points illuminate the path from technological promise to practical value.

Governing Innovation in a Rapidly Changing Health Ecosystem

Digital transformation in health rarely succeeds simply because technology exists. It succeeds when organizations develop leadership frameworks capable of evaluating innovation, managing risk and aligning new tools with patient-centered goals.

Few leaders have observed the evolution of digital health across as many national systems and institutional environments as Hal Wolf, president and chief executive officer of HIMSS, Ran Balicer, MD, PhD, chief innovation officer of Clalit Health Services and Isaac Kohane, MD, PhD, chair of biomedical informatics at Harvard Medical School. The three will step onto the mainstage at HIMSS to share their “View from the Top” in a session titled: “Recognizing the ‘Value Proposition’ Criteria While Selecting AI Applications.”

Through his work with global government health ministries, hospital networks, and technology innovators worldwide, Wolf has consistently emphasized that technological progress must be anchored in governance and trust.

“Digital health transformation is not about technology alone. It is about leadership, governance, and the trust that allows innovation to improve care,” Wolf has said in discussions about global digital health transformation.

Artificial intelligence intensifies this leadership challenge because its influence extends far beyond traditional clinical tools. AI systems increasingly operate across multiple layers of healthcare delivery. Some applications assist clinicians by analyzing medical data or suggesting treatment options. Others function within hospitals’ and health systems’ operational infrastructure, helping manage patient flow, prioritize diagnostic reviews, and allocate scarce resources.

These operational algorithms rarely capture headlines; however,  they shape the environment in which health care is delivered. Decisions about which cases are reviewed first, how clinicians allocate their attention, and how health systems manage capacity can profoundly influence patient outcomes.

For leaders responsible for health systems, artificial intelligence cannot be treated as simply another technological upgrade. It must be evaluated through governance structures capable of understanding how algorithms function, what assumptions shape their recommendations, and how their use aligns with institutional priorities.

Without that oversight, innovation risks amplifying complexity rather than improving care. Instead of informing, it can spread misinformation.

Aligning Artificial Intelligence With the Values of Medicine

Governance provides the policy foundation for responsible adoption of artificial intelligence, but real-world implementation reveals a second challenge: ensuring that AI systems operate effectively within healthcare delivery itself.

Large population health systems increasingly use advanced analytics to anticipate risk, manage chronic disease, and allocate clinical resources across diverse communities. Within these environments, artificial intelligence is no longer a theoretical innovation. It is already influencing how health organizations prioritize patients, coordinate care and deploy limited resources.

That operational perspective is central to Ran Balicer, MD, PhD, of Clalit Health Services, one of the world’s most advanced data-driven health systems. The Clalit integrated infrastructure connects hospitals, clinics, and community health programs through longitudinal datasets that support predictive analytics at the national scale.

Experience within such systems reinforces an important insight: artificial intelligence models do not function independently of human judgment. They reflect priorities embedded in their design and the assumptions guiding their deployment.

“Algorithms are opinions embedded in code,” Balicer has observed in discussions about the role of artificial intelligence in population health.

In practice, this means that AI systems interpret clinical data through frameworks shaped by human choices. The way a model defines risk, prioritizes cases, or recommends interventions reflects decisions about what matters most within a healthcare environment.

Those decisions carry ethical implications. When artificial intelligence helps determine which patients receive immediate attention or which cases are escalated for further review, transparency about how algorithms function becomes essential to maintaining trust among clinicians and patients alike. The scientific frontier of health-care AI reinforces that concern.

Isaac Kohane, MD, PhD, who has also served as a co-author of the Institute of Medicine Report on Precision Medicine, which has served as the template for national efforts, has spent decades exploring how machine learning can advance medicine while preserving the judgment that defines clinical practice. His research emphasizes that artificial intelligence in healthcare must align with the ethical traditions and professional responsibilities of medicine.

“AI systems in medicine must ultimately reflect the values of the profession they serve,” Kohane has written in discussions about AI alignment in biomedical informatics.

This perspective highlights a crucial distinction between technological capability and clinical responsibility. Many AI models entering healthcare environments were originally designed for broader computational tasks rather than the nuanced realities of patient care. Medicine operates within a landscape shaped by uncertainty, empathy, and accountability, and technologies introduced into that environment must reflect those values.

Ensuring that artificial intelligence aligns with the principles guiding health-care delivery, therefore, represents one of the most important scientific and ethical challenges facing the future of health.

The Discipline Required to Make Innovation Matter

The health sector has experienced waves of technological enthusiasm before. Electronic health records promised seamless information exchange, but then introduced administrative burdens on health professionals when implemented without thoughtful workflow design. Data analytics promised unprecedented insight, but sometimes led to fragmentation when systems failed to communicate across institutions.

Artificial intelligence now stands at a similar moment in the evolution of health technology.

Its capabilities in supporting decision-making flow are extraordinary, yet realizing them will require disciplined leadership to evaluate, integrate and govern AI tools within health-care delivery systems. Health leaders must learn to ask deeper questions before embracing the next algorithmic breakthrough. What problem does this system truly solve? How does it strengthen clinical practice? What assumptions guide its recommendations? How does its use advance the mission of improving patient health?

These questions move the conversation beyond technological novelty toward operational practicality. It’s among the many reasons these three global leaders step to the HIMSS stage together.

Artificial intelligence will undoubtedly reshape the health ecosystem in the years ahead. Its long-term impact, however, will not be determined solely by the sophistication of algorithms or the speed of technological progress. Along with how to leverage AI, ChatGPT and LLMs, users require heightened cognitive awareness.

It will be determined by whether the health community develops the discipline and ability required to translate innovation into systems that strengthen care, support clinicians and improve the health of the populations they serve.

The real story of artificial intelligence in health is no longer about what machines can do. It is about how wisely the health sector chooses to use them.

The post From AI Excitement to Execution: Why Health Leaders Must Now Master the “How” appeared first on Medika Life.

AI Is Not an Add-On—It Is the Infrastructure

One of the most powerful refrains in Lawry’s address was this: Artificial Intelligence (author’s definition – “augmented implementation”) is a general-purpose technology. Like electricity or the printing press, it doesn’t simply optimize existing processes—it refines them. It changes the sector’s (and perhaps society’s) operating system. It is not “intelligent,” it’s intelligence, [as John Nosta suggests].

In the health sector, AI must be treated not as a pilot project or a staffing replacement but as core infrastructure. It’s not a department, it’s a foundation. Lawry urged leaders to go beyond adoption cycles and recognize AI’s capacity to reshape systems, relationships and responsibilities. That shift requires not just technical integration but cultural transformation. It requires integration of clinical, operational and human resource functions.

“What Does This Mean for Me?”

Clinicians aren’t resisting AI—they’re seeking relevance. Their reflective question is: “What does this mean for me?” This question is surfacing across hospitals, clinics, and systems worldwide. Health professionals are not asking for more white papers or coding walkthroughs—they want to know if their judgment, autonomy, and voice will be protected.

His message was clear: Don’t ask clinicians to adopt. Invite them to co-design. Empower them to lead alongside technologists. That is how AI earns trust and ensures value.

Elevating the Workforce Through Upskilling

Referring to McKinsey forecasts, Lawry noted that up to one-third of clinical activity—primarily administrative—can be automated. But this is not about eliminating jobs. It’s about restoring the joy of practice and aligning people with purpose. If deployed wisely, AI can liberate talent from tasks that dull passion and delay patient care. The real challenge will be forging a bridge between aspirational and operational intent.

This is possible if health systems democratize AI knowledge. Upskilling cannot remain the domain of senior executives and IT teams. The professionals most affected by AI must also be those most prepared to use and question it with confidence.

Governance Is the Bedrock of Responsibility

Too many institutions speak about responsible AI but fail to structure it. As Lawry outlined and reflected in his Responsible AI Discussion Guide shared at the Forum, governance is not an aspiration. It is a requirement.

Lawry asks three key questions to test organizational readiness:

1. Has the institution formally adopted responsible AI principles, ratified by top leadership or the board?
2. Are those principles consistently applied to all AI projects and partnerships?
3. Are AI standards written into procurement practices?
   
   The health sector cannot afford partial answers. Most AI will arrive embedded within larger platforms—EHRs, diagnostics or billing systems. Governance alone is insufficient if the umbrella of its use doesn’t extend to vendors and embedded solutions. His cautionary guidance: policies without enforcement expose organizations to reputational and regulatory risk.

Judge AI by Outcomes, Not Headlines

It’s easy to get excited about the tech tools and early pilots. However, Lawry warned against evaluating success by the number of AI deployments. Actual value must be measured by mission alignment. That means, are outcomes improving? Are clinicians regaining time and focus? Are costs becoming more sustainable? Is ethical compliance being elevated? It is a nuts-and-bolts call-to-action.

Lawry urges organizations to treat AI not as a buzzword, but as a continuous improvement program. Like clinical quality, it requires constant evaluation and a clear connection to purpose.

Leadership Is the Deciding Factor

Perhaps the most lasting message from his keynote is that technology does not create transformation—leadership does. From boards to bedside, AI requires a mindset of clarity, courage, and consistency.

Leadership must:
– Understand what AI can—and cannot—do
– Create a culture where experimentation and transparency thrive
– Build governance, avoiding treating AI as a vendor offering

“AI value at scale is about leadership,” Lawry declared. “No algorithm, no matter how powerful, can substitute for moral clarity and institutional courage.”

A Gathering That Signals Momentum

This HIMSS AI in Healthcare Forum is a chance to compare notes and is a change-agent catalyst. It brought together visionaries and practitioners, policymakers and informaticists, engineers and ethicists. What unites them is the understanding that we are not waiting for the future—we are in it.

From HIMSS CEO Hal Wolf’s empowering opening remarks to Forum Master of Ceremonies and HIMSS Senior Director of the Personal Connected Health Alliance Rob Havasy and the powerful opening keynote by Tom Lawry, it is clear that this event is more than a “professional meeting” – it is an invitation to the possibilities of the age of AI in the health sector. But its success will not come from software, coding and flashing healthtech alone. It will arise from systems that put people at the center—patients, providers and the health ecosystem community.

AI Has No MRI: It’s All About Leadership

Tom Lawry offered more than a presentation—he provided a roadmap. One that begins not with technology but with trust. One that demands more than innovation—it requires intention.

The transformation ahead is not only technical. It is cultural, operational and profoundly human. The institutions that rise to the occasion will do much more than survive disruption. They will define the next era of healing.

AI is here. The question now is whether we are ready to use it and lead with it.

The post Why AI’s Future in the Health Sector Hinges on Leadership, Not Just Technology appeared first on Medika Life.

These 20 people are not just theorizing about the whizzbang of hot technology but rolling up their sleeves and demonstrating its value in real-world settings—to improve diagnostic care, access information that can inform treatment, address health inequities, and ensure the financial sustainability of health provider systems that operate on razor-thin margins. Their collective work offers a blueprint for leveraging AI responsibly and (hopefully) ethically, from streamlining hospital operations and enhancing clinical decision-making to revolutionizing drug discovery.

The current AI evolution presents both opportunities and challenges. Health systems face increasing demands, including rising patient expectations and staffing shortages. Implementing AI and large language models (LLMs) can address these concerns by enabling faster and more accurate treatment plans, automating administrative burdens, and personalizing patient care. However, realizing AI’s full potential requires thoughtful application, ethical considerations, and a commitment to addressing disparities.

These 20 champion AI’s practical application, guiding health systems toward innovation without losing sight of humankind’s well-being. They exemplify how AI can enhance rather than replace human expertise—an essential message as we continue to adapt to this rapidly evolving landscape. By following their work, health-sector leaders and innovators can gain invaluable insights into deploying AI for meaningful impact.

Trailblazers Redefining Health Innovation

While many thinkers will wow you with the future possibilities of these technologies, the 20 on this roster demonstrate transformative influence on the future of diagnostics, operational efficiency, and personalized care while emphasizing responsible, ethical implementation. From academia to industry, they provide vital insights and direction into leveraging AI for better health outcomes. Their work underscores AI’s ability to augment human expertise, providing a roadmap for health systems to innovate without losing sight of patient-centric care. Thanks to them and the others appearing on our Medika Life 2023 and 2024 list, we define AI as “augmented implementation” and not artificial intelligence.

How were they selected? They are public-facing, sharing their thoughts in articles, books, keynotes, classroom talks, research papers, and conferences. They willingly share their knowledge with others on their social media platforms. They spark ideas and challenge our current thinking, and these behaviors make them invaluable to the future application of information and its human health impact. Each person appears in hyperlinks so that readers can explore the depth of their contributions and, whenever possible, follow them on their social media platforms.

20 Voices of Influence Shaping AI in Health

Regina Barzilay, PhD

Dr. Barzilay, an MIT professor and MacArthur Fellow, is revolutionizing oncology and drug discovery through AI. Her pioneering work in machine learning has led to breakthroughs in early cancer detection, particularly in breast cancer screening. As co-founder and AI faculty lead of the MIT Jameel Clinic and the AI Cures initiative, she’s spearheading efforts to deploy AI models for cancer risk prediction in hospitals around the globe and accelerate drug development for infectious diseases. Dr. Barzilay’s work in oncology and drug discovery is paving the way for screening policies and new treatments.

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Anthony Chang, MD, MBA, MPH, MS

Dr. Anthony Chang, a pediatric cardiologist and founder of AIMed, is a driving force in AI education for health professionals. His book Intelligence-Based Medicine has become a cornerstone text. Dr. Chang’s recent work focuses on developing AI-powered predictive models for pediatric cardiac care and implementing AI solutions to enhance hospital operational efficiency. His annual AIMed conference has become a global platform for sharing cutting-edge AI health innovation.

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Karen DeSalvo, MD, MPH

Google Chief Health Officer DeSalvo leads initiatives that leverage AI and big data to address critical public health challenges and promote health equity. Her work includes developing AI-driven tools for early disease detection in underserved communities and creating platforms that provide real-time health data analytics for policymakers. Dr. DeSalvo’s leadership in responsible AI use ensures that Google’s health technologies prioritize patient privacy and ethical considerations.

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Pamela Davis, MD, PhD

Dr. Davis is a distinguished researcher at Case Western Reserve School of Medicine specializing in AI-driven diagnostics and clinical applications. After 13 years as the Dean of the School of Medicine, she returned to the faculty. Her work centers on predictive algorithms for early disease detection and improved treatment planning. But Dr. Davis is an anomaly to this roster. She has no social media handles and her many published works are not curated carefully. Yet, tracking her contributions shows her depth and national influence on the future of AI in practice. With numerous published studies on AI’s transformative role in health, Dr. Davis continues to shape the future of diagnostic pathways.

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David Feinberg, MD, MBA

As Chair of Oracle Health, Feinberg champions using AI and cloud-based technologies to improve health outcomes. He focuses on predictive analytics and data-driven tools that enhance clinical decision-making and streamline hospital operations. His leadership drives innovation in health technology integration. Dr. Feinberg is widely recognized for his transformative leadership as CEO of Geisinger Health, where he pioneered initiatives in population health, precision medicine, and value-based care. His expertise in integrating technology with health-care delivery continues to drive innovation, making digital tools more accessible and impactful for providers and patients.

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John Halamka, MD, MS

John Halamka, President of the Mayo Clinic Platform, is a trailblazer in AI-driven health solutions, leveraging data and technology to transform patient care. Co-author of The Digital Reconstruction of Healthcare, Halamka is a leading voice on digital transformation, interoperability, and the ethical use of AI in medicine. His work at the Mayo Clinic focuses on developing scalable digital platforms and AI models to advance diagnostics, remote monitoring, and personalized medicine. With a background spanning emergency medicine, informatics, and policy, Halamka’s insights continue to guide health systems toward a more connected, efficient, and data-driven future.

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Taha Kass-Hout, MD, MS

Dr. Taha Kass-Hout, General Manager of Amazon Health AI, is a pioneer in leveraging artificial intelligence to drive advancements in healthcare delivery. With a background in clinical practice, public health, and digital innovation, he leads initiatives that harness AI for improved diagnostics, care management, and population health outcomes. Previously, as the first FDA Chief Health Informatics Officer, he championed data-driven approaches to public health. His leadership at Amazon drives scalable, data-driven health models that integrate machine learning with real-world applications, positioning him as a key influencer in the future of AI in health.

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Isaac Kohane, MD, PhD

Dr. Kohane, Chair of the Department of Biomedical Informatics at Harvard Medical School and co-author of The AI Revolution in Medicine: GPT-4 and Beyond, is a leading authority on the intersection of AI and clinical care. His research focuses on using machine learning for precision medicine and improving electronic health records. Dr. Kohane has been instrumental in developing AI models that enhance diagnostic accuracy and patient outcomes. His recent work explores the potential of LLMs, such as ChatGPT, in clinical decision-making and patient engagement.

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Daniel Kraft, MD

Dr. Daniel Kraft is the founder of Exponential Medicine and a visionary in personalized medicine approaches. He’s an inventor, a former F-16 flight surgeon, and always ready to champion others’ bold ideas. Dr. Kraft explores how AI can transform health delivery and disease prevention. Dr. Kraft’s recent initiatives focus on AI-powered tools for early diagnosis and patient engagement. His next chapter includes the very successful NextMed Health and the evolution of Exponential Medicine. NextMed Health 2025 will be held in San Diego on March 30 and April 2, 2025.

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Tom Lawry

Tom Lawry, soon to be the author of his highly anticipated new book Health Care Nation: The Future Is Calling, and It’s Better Than You Think, may redefine the intersection of technology and patient care. Already renowned as the author of Hacking Healthcare, Lawry has built a reputation as a leading AI strategist who advises organizations on integrating cutting-edge AI solutions to boost operational efficiency. His former role at Microsoft as Director for AI for Health and Life Sciences, Director of Worldwide Health, and Director of Organizational Performance for the company’s first health incubator cements his standing as a trailblazer in health innovation. He’s almost always a keynote favorite at conferences such as HLTH and HIMSS.

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Fei-Fei Li, PhD

Dr. Fei-Fei Li is a strong advocate for diversity and inclusion in AI, emphasizing ethical considerations and societal impact. She co-founded AI4ALL, a nonprofit dedicated to increasing diversity in artificial intelligence, and has played a pivotal role in shaping policies for responsible AI development. Her leadership continues to influence the global AI landscape, bridging technology with human values.

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Vivian Lee, MD, PhD, MBA

Dr. Lee, author of The Long Fix, is a pioneering health tech executive driving data-driven health transformation. Her recent work includes developing AI-powered platforms for value-based care models and implementing predictive analytics to reduce hospital readmissions. Dr. Lee’s initiatives as former president at Verily Life Sciences focused on leveraging AI to optimize care delivery across diverse populations.

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Peter Lee, PhD

As Corporate Vice President of Microsoft Health, Dr. Peter Lee spearheads initiatives that apply AI to solve complex health-sector challenges. His recent projects include developing AI models for precision medicine and creating cloud-based solutions for health data interoperability. In his role, Dr. Lee seeks to solve complex health-sector challenges by integrating cutting-edge technology with practical healthcare applications.

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John Nosta

John Nosta has earned his place as a top influence in the AI landscape—particularly in discussions surrounding ChatGPT and large language models—due to his visionary insights and ability to demystify complex technological innovations. His thought leadership bridges the gap between cutting-edge AI research and practical, real-world applications, making the transformative potential of these tools accessible to a broad audience. By articulating AI’s promise and ethical challenges, Nosta fosters a balanced dialogue that drives the industry forward. His forward-thinking perspective and engaging commentary not only illuminate the evolving impact of AI on various sectors but also inspire both startups and established companies to reimagine the future of technology. Nosta has an upcoming book that is expected to drop sometime in fall 2025.

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Ziad Obermeyer, MD

Ziad Obermeyer, MD, is the Blue Cross of California Distinguished Associate Professor of Health Policy and Management at the UC Berkeley School of Public Health, researching the intersection of machine learning, medicine and health policy. His work has exposed biases in clinical algorithms and highlighted disparities in care delivery. As a co-founder of Nightingale Open Science, he promotes data transparency and collaboration to advance medical AI. His contributions are reshaping predictive analytics and decision-making in healthcare. Before his full-time career in emergency medicine, he consulted pharmaceutical and global health clients at McKinsey & Co. in New Jersey, Geneva, and Tokyo.

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Neal Patel, MD, MPH

As the Chief Information Officer for Health IT at Vanderbilt University Medical Center (VUMC), Dr. Patel leads the integration of advanced technologies into health delivery. With more than two decades of experience in HIT, Patel has been instrumental in computerized physician order entry systems and electronic health records to enhance clinical and quality processes. He focuses on translating VUMC goals into informatics strategies, optimizing patient care, and improving safety and services across the care continuum. Dr. Patel’s work underscores the transformative potential of AI and LLMs in the provider system.

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Kyu Rhee, MD, MPP

As Senior Vice President at CVS Health, Rhee leads initiatives that leverage AI for health equity and personalized care. His recent projects include implementing AI-driven health risk assessments in underserved communities and developing machine learning models to predict medication adherence. Through his leadership, CVS has deployed AI-powered virtual care solutions expanding access to preventive services and helping to close care gaps while improving outcomes for diverse patient populations.

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Nigam Shah, MBBS, PhD

Dr. Shah, a professor at Stanford University, specializes in applying AI to clinical workflows and electronic health records. His recent work includes developing AI models for real-time clinical decision support and creating algorithms to identify patients for clinical trials. He has published extensively in peer-reviewed journals on machine learning applications in healthcare and co-authored chapters in Artificial Intelligence in Medicine. Shah also leads Stanford’s Center for Biomedical Informatics Research, advancing research on AI’s role in population health and precision medicine.

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Eric Topol, MD

Dr. Eric Topol is not just “a” trailblazer in digital medicine. He will likely be among those acknowledged singular voices bridging the possible with the practical. His groundbreaking work has consistently pushed the boundaries of health innovation. Dr. Topol redefined patient empowerment with his seminal book The Patient Will See You Now. He transformed the traditional healthcare model, advocating for a future where technology facilitates personalized, proactive care. As the author of Deep Medicine, he continues to champion the integration of AI in health, exploring its potential to revolutionize patient care. Dr. Topol’s visionary contributions and commitment to merging clinical expertise with cutting-edge technology have established him as a guiding voice at the intersection of care and innovation, making him a standout influencer in AI applications.

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Hal Wolf, III, FHIMSS

Harold (Hal) Wolf is the president and CEO of HIMSS, a global advisor and thought leader supporting the transformation of the health ecosystem through information and technology. If health-related smart technologies such as AI, ChatGPT, GenAI, and LLMs have a central home to discuss policies and implementation, it is HIMSS. Hal shepherds the world’s health information management community. While his staff advance science and policy, championing implementation throughout the ecosystem. Wolf and HIMSS are where theory meets action. Wolf is far more than a leader of a global society of import; he is the community’s ambassador to NGOs, governments, and industry.

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The Rise of Generative AI in Digital Health: Key Insights from Galen Growth

Beyond tracking the 20 listed in the year’s people to watch and the previous two years, following the Galen Growth executive briefing Generative AI in Digital Health – Hype or Reality? The report is a must-read for AI, ChatGPT, and LLM professionals. It reveals how nearly 4,000 digital health ventures leverage AI, with 2% focused on generative AI. Notably, 27% of these applications enhance health management, and over 330 AI-driven ventures have partnered with health systems in the past five years. This report offers critical insights into AI’s growing impact on digital health innovation.

Acknowledgments

I thank my Medika Life colleagues, including Drs. Robert Turner, Jeff Livingston, Hesham A. Hassaballa, Patricia Farrell, and Michael Hunter, whose commitment to public health information inspire. I am also grateful to the many sector professionals I engage at events such as CNS Summit, DHAI, HIMSS, HITLAB, HLTH, and ViVE—people who generously share perspectives and contribute invaluable recommendations. A shout-out to Christina Raish, our new associate editor at Medika Life, for her support in making this feature possible.

Special recognition goes to those who have appeared on past Medika Life lists and remain engaged in advancing health and well-being. Their commitment to meaningful change is commendable to individuals and the planet. These trailblazers continue to push boundaries, demonstrating an unwavering dedication to improving lives.

Since the dawn of civilization, humanity has been awed and challenged by technological progress—from the mastery of fire to artificial intelligence. Each era, from the Stone Age to the Iron Age and now the Information and Cognitive Age, has demanded careful consideration of how best to harness innovation. Today, as we navigate the era of “thinking” technologies, one truth remains unchanged: the power of human insight, courage, and empathy must guide progress.

—Gil Bashe, Editor-in-Chief, Medika.Life

Remember to Follow the Voices of Influence from our 2023 and 2024 Rosters:

Spot a broken link, typo, forgotten degree, or name misspelled?

Oops! Apologies! While care has been taken in compiling this list and adding social media links, things go wrong: a name is misspelled, a link is broken, or an incorrect social media handle is listed. Please do get in touch to address typos, amendments, or omissions by reaching gil.bashe@medika.life.

Thanks in advance and be healthy!

The post 20 People Who are Transforming the Health Ecosystem Through Practical Paths to Apply AI – 2025 Roster appeared first on Medika Life.

In this exclusive conversation, I join Hal Wolf, President and CEO of HIMSS, to explore HIMSS’s evolving role in fostering collaboration between hospitals, startups, and policymakers. With the health-ecosystem landscape tracking the early days of a new administration, uncertainties remain—ranging from regulatory shifts to funding allocations. Yet, as Wolf underscores, HIMSS remains steadfast in advancing health equity, supporting digital transformation, and offering actionable strategies that improve care delivery.

This conversation occurs between ViVE in Nashville and HIMSS in Las Vegas—two health gatherings that bring innovators, policymakers, and industry leaders together. While ViVE spotlights digital health startups, investment trends, and edgy sparks, HIMSS serves as the broader convening ground for professionals shaping the future of health information and technology. HIMSS is where the work happens—the “Davos” of health information.

Wolf outlines key issues such as integrating artificial intelligence in hospital systems, the role of primary care in driving better patient outcomes, and how organizations must balance innovation with financial realities. At HIMSS, essential dialogue between established institutions and emerging disruptors has never been more crucial.

Join us as we delve into the forces shaping the health system’s future—where technology, policy, and leadership converge to improve patient outcomes and system-wide efficiency.

Medika Life Editor Gil Bashe: In examining hospital systems, we focus on how information flows within our industry and who has access to it. We still have a lot to learn. These are the first few weeks of the new administration, and we don’t know how things will unfold, how the Senate Committees will approach these discussions, or how actions will be implemented. Will we rely on Executive Orders? If that’s the case, we know where to focus our attention. You’re a remarkable ambassador for the discipline and the sector, and certainly for HIMSS, a professional association, trade association, and global NGO.

People come to HIMSS with tremendous optimism, hoping to gain insights that will make them more effective. I prefer to focus on current developments and HIMSS priorities rather than just reacting to them; that’s a different conversation. I’ll also note that the administration’s conversation around health access, cost, and priorities is still in motion.

HIMSS CEO Hal Wolf: We don’t know enough to discuss new policies and their potential outcomes. One challenge will be securing funding. While we know things will be different, we don’t know where the policies will land. Still, we know that HIMSS is dedicated to its vision and mission statements as they fundamentally relate to realizing the full health potential of every human everywhere.

We are dedicated to health equity and will stay dedicated to it. Our collaboration with governments and NGOs worldwide and our fundamental principles will not change, nor should they! We’ll work with our principles within the context of whatever comes out of the White House.

We worked well with the previous Trump administration and collaborated effectively with ONC and HHS on various initiatives. We look forward to advancing the HIMSS mission within the established parameters.

Bashe: HIMSS is far more than an annual mammoth gathering; it’s a professional society that covers the full spectrum of health information and technology – from cybersecurity to economics to professional development and government policies. Unlike other popular meetings that primarily focus on networking, HIMSS is where professionals from around the globe come to set objectives, strategies, and operational priorities. It’s 30,000 feet and 3,000 in scope.

Wolf: This morning at 6:00 a.m., I had an interesting conversation with the CEO of a successful start-up that is getting distribution now and beginning to roll. At HIMSS, we see the merging of different worlds.

We have our core population, core members of the health ecosystem– hospitals, clinics, health operations, nurse practitioners, CMIOS, CIOS, physician leaders, and administrators. This group represents a significant portion of the HIMSS membership, which includes over 120,000 members.  

On the other hand, we have the entire global app ecosystem that drives innovation and introduces new ideas. As you know, many of these ideas and innovations are driven by personal experiences. A family member encountered a situation, and they tried to solve it. Or have worked in the industry, identified a gap, and pursued it.

They often have a long list of improvements to address, and, often, they aren’t performing well financially. Their reimbursement processes are a little murky, and this uncertainty might increase in 2025.

How much time do they have to integrate innovations that don’t directly impact their outcomes, quality, access or bottom line? Because everything’s being looked at in that piece.

We need to understand that the situation changes as the market evolves. What is the critical point where innovation intersects with standard operating procedures, and what does it look like? How can information from one area influence the other? We must determine how to identify the good and the bad and how to present them to the market.

What happens at the global conference? What happens in chapter meetings? What happens in the papers that are submitted? What happens in the insights? Much of this depends on how these elements connect.

Bashe: Many diverse health information communities come together yearly at HIMSS. You have consistently made this gathering relevant. This year, a new startup section called Emerge addresses a critical need within the HIMSS community. You just started with the story about a startup enterprise. Could you share some important and innovative aspects that will be highlighted at this year’s gathering?

Wolf: That’s a pressing question, so I’ll divide it into multiple parts because it’s challenging.

We’re part of the industry, so let’s return to your original premises to find the answer. You mentioned “competing,” which refers to people competing against each other. However, you also have specific points of interest to consider.

The benefit engine can determine how much money you’ll receive in reimbursement for a particular service. However, if you’re on the insurance or payer side, the configuration may depend on whether it’s for North America or a Ministry of Health. Here, the goal is to anticipate the costs incurred in treating a patient. This perspective aligns with an actuarial professional trying to understand and guide the process forward.

I’ve observed hospital systems are starting to integrate AI functionalities, but currently, only 5 to 7% are using it effectively, from an operational standpoint,

For example, when someone walks to the front desk and says their right arm is hurting, the staff collects the information by typing it into a form. They ask a couple of questions, such as “Who’s your primary care doctor? Who’s your insurance company? Are you on managed care? Is this new? What other ailments do you have? What other prescriptions do you have?” They must ask those questions if they don’t have that information readily available. That data feeds into new algorithms on the AI side.

In the background, AI analyzes the information and makes predictive models about how long this person would be in the hospital, what resources they will consume, and how much revenue it will generate. It’s occurring in the background, without the front desk staff being aware of AI’s calculations; meanwhile, the administrator is beginning to recognize the impact of these advancements. The inbound process begins with appropriate testing, questioning, and, if necessary, into a bed.

Meanwhile, the hospital administrator or the system managing the situation assesses the resources the patient will need, whether they will need a specialist and whether the specialist will be available when needed. By the time an exam takes place, they can inform the patient about what to expect in the next 24 to 48 hours, whether they will be staying at the hospital or going home. This preparation and communication represent the positive aspects of the process.  

The dark side is that the hospital engine in the background might say, “We’re not going to get a lot of money out of this. This is not a good use of our beds/time. If we maximize profits, we should send this person on and see what the next person will bring because our algorithm told us that five people would come in with congestive heart failure, and we do make money on that.”

The person writing this down may never realize what is happening; they won’t know that the system will indicate that the hospital is full, even though there might be capacity. Instead, they will tell the person to go down the street to Acme Community Hospital, which can take care of them, explaining that their system lacks resources. That is a dark coin flip to what could happen.

Bashe: Many hospital networks are acquiring primary care practices as feeder systems in their facilities. For example, if a patient is told, “You need to do a cardiac stress test. Do you have a cardiologist?” and they respond with “No?” the primary care provider can then say, “Why don’t you let me arrange that for you.” The primary care satellite site is closing the loop on a fragmented system. While the hospital system benefits economically from the service, patients benefit, and the primary care satellite site serves as a conduit for care.

I’m always thinking about the benefits of technology in enhancing the hospital and primary care systems. Imagine a doctor saying, “You know, you’ll have many questions. I will be here to help you frame your thinking around those questions. Our system has an LLM model. Let’s call it Dr. Hal. You can ask Dr. Hal every question regarding your congestive heart failure or prostate cancer. Dr. Hal is the composite wisdom of all the experts in our system and is here to address your questions.”

The creative aspect of our discipline, combined with information, is becoming a superpower. We use data to guide our supply chain resourcing and leverage information to promptly provide patients with confidence and comfort. We ensure greater access to accurate information vetted by the system, so patients do not depend solely on Dr. Google.

Wolf: The actual value of AI is knowledge management. It allows a very broad and capable synthesis of vast amounts of data and information that no human can keep up with. For example, in the 1970s, clinicians had access to three to four journals, where editors picked what was important enough to be published. These journals had to be printed and mailed out, resulting in about 400 peer-reviewed articles per year reaching healthcare professionals. If you read one a day, you could keep up. Today, more than 10,000 articles will be published this year alone. All that information, knowledge management, and sharing will occur collaboratively, and there is no way for anyone to synthesize all that.

AI plays a crucial role in operational and clinical decision support by turning information into knowledge, with recommendations that lead to changes in operations, suggestions, and care.

In clinical care, pharmacy, or whatever path you’re on, these recommendations are communicated back to physicians with an explanation of why they are a recommendation and the source of that information.

I think part of the maturity that we’re seeing, and you’ll see at HIMSS 2025, is the evolution of AI since our session three years ago. Back then, we held a session titled, “What is AI, and what does it mean?” The panel discussed its potential application in healthcare, and at that time, chat had just been introduced, and people were starting to look at it. Some people were on stage calling for a six-month hiatus before we allowed anything to go forward.

Last year, we saw glimpses of initial uses of AI being deployed operationally, albeit only in a few hospital systems. But it was beginning to happen, and we knew that AI was in the background of devices or operational considerations. Where would the benefit engines come from? The algorithms were starting to be built, and we had a particular point of looking out for biases. We started talking about biases within AI and realized that no matter what you do, there will always be some biases. It’s unavoidable. What was the source information for AI, and how do I ensure I utilize it to the best of my ability?

You’ll see the presentation of how people are using it on a scale. What are examples of its success, and what are some of its limitations? Numerous applications are set to emerge. You’re going to see them on the floor, where people are using components of AI in the background to produce better products that are more efficient and can guide operations as well as at-home care, and all those pieces are being brought forward. The common link between it and your point is on the information side of the house. How good is the starting information, and how broad does it go? Where is the opportunity from a linking standpoint?

To achieve this, a private-public partnership is essential. If you’re looking at algorithms and information that utilize global data that gets turned into global information, it has an impact. Most healthcare systems around the globe are publicly held. They’re not privately held. The United States is an aberration due to its vast amounts of privately held institutions versus publicly held ones.

Bashe:  Are you seeing more of that regarding the technology being used proactively?

Wolf: Yes, and that’s a good thing. We’ve always wanted to see that proper reimbursement takes place and proper services rendered. Many things in a system can get missed, but not an overwhelming amount.  If hospital systems perform well, they typically operate on a 2 percent to three percent margin, but many run at a loss, making proper reimbursements difficult. Large actuarial departments played a key role in the past, with various organizations providing revenue support, which was a huge thing even 15 years ago. However, over time, those efforts began to converge.

The real opportunity lies beneath the surface. It must coincide with an understanding of the care that was delivered. Right next to that benefit realization is the value proposition. What was the quality of what was rendered? Was the care appropriately given? Did we miss something in the diagnosis?

Bashe: One of the things that I worry about is not New York City or Los Angeles. Medical centers such as Mount Sinai, NYU Langone, Weil-Cornell, Columbia Presbyterian, and Memorial Sloan Kettering, much like their counterparts in Boston, Chicago, and the Bay area, provide excellent care. However, in rural America, someone can live three hours from a tertiary care center.

Your approach of using information to improve the care of almost 29 percent of the US population applies, I think, to other nations where people live far from centers of excellence. What are your thoughts about devices, wearables, remote patient monitoring and information, and protecting the information from your standpoint?

Wolf:  Wearables and home monitoring have transformed patient engagement, making health data more immediate and actionable. It’s fascinating. My wife and I compare our Oura daily. How did you sleep? How’s your heart rhythm? We’re finding the features and working through them. She lives anonymously. We are very engaged in our health. How far did we walk? What was our heart rate? Let’s do the 6-minute walk today and see. Were you snoring last night?

All of that is going on, and that’s an engagement level. The information flows from me to my ring, and then my ring says, do you want to share it with Apple? I said yes, and my wife said no; she didn’t want it to flow to another company. Apple will know how well I sleep – I don’t worry about it. If they want to dive into it, there is a profile about me and my general health. They could also derive that from the stuff I buy and the credit card information. That’s always been the case.

If you remember, back in the 1980s, we were already using demographic data with Donnelly overlays. I worked for Time Warner in the early 1990s when Time magazines were delivered to your door. The Time magazine that arrived at your next-door neighbor was different from yours—not the content, but the cover and the ads in the back. You may have gotten an ad for a sports car, and your neighbor may have gotten one for a minivan.

It was specifically designed based on the Donnelly reports, which provided insights about the household. We’re starting to shape recommendations at the personal level of the care an individual should receive.

Why wouldn’t a physician or a clinician want every piece of information on this Oura ring to be included in a patient’s profile? This information would help complete the picture needed to utilize sophisticated knowledge management systems, tapping into tens of thousands of research papers and combining that data with the person’s unique health details. The richer that information becomes, the more accurate it becomes, the more mistakes it makes, the more positively it helps the next person.

Bashe: Often, when I speak to doctors and nurses in the health system, we talk about the Electronic Medical Record (EMR). They’re candid: “We have an EMR system—it’s not perfect, we know that, and it’s getting better and better.” Yet, they often say, “Did you read that patient’s EMR data?” and then they’ll say, “I don’t have time to read the EMR.” While best practices come from committees, you play a unique role as an advisor to corporations. You’re the sounding board for major corporations, whether AWS, Epic, Microsoft, or Oracle. I’m sure they will listen to you because you’re the voice of the global community.

Wolf: We don’t have a dog in the race against them as a competitor.

Bashe: As a not-for-profit society that operates at a global NGO level, when you look at your role and the challenges you face, how does HIMSS address constant sector transformation? HIMSS and its members are constantly evolving because you represent applied information. The system is getting more interesting and more creative.

Look at the challenges that HIMSS owns and represents and your mission, which is obviously to improve access to care. As the organization’s leader, you’re clear and committed to this role, but you’ve seen difficulties implementing cultural or systemic changes.

What’s your guidance for the community? Please don’t take out a ruler and slap people on their hands. You’re obviously about supporting the system’s evolution, making it better. Can you share insights on how you’re filtering down best practices within this evolving landscape? How do you reflect on these challenges that arise and guide systems to understand that care is delivered to the front lines and is not always in hospitals? It’s specialists or primary care—physicians in their little offices worldwide.

Wolf: This is precisely what we discuss daily at HIMSS, and it’s central to our global work. Let’s walk through our view of the ecosystem and how we influence what you just related to because it’s our core.

Hospital systems – or, more importantly, governments worldwide – including our own, recognize their fundamental responsibility to care for their populations. Let’s set the United States aside for a second.

Ministries of Health in countries around the world are accountable for the well-being of their citizens. We’ll talk about citizens for a minute. The people living within their country want a healthy population, which improves the economy. They’re smart enough to know that a healthier population, or one cared for, efficiently reduces the constant increase in costs within healthcare systems. No one is looking to save money; instead, the goal is to slow the escalating costs of healthcare systems, which seem to rise every year.  

Information is the driver behind everything, but to your point, the combination of people, processes, and technology shapes the outcome. Technology is rarely an issue here; the challenge lies in implementing and changing culture. The pandemic forced a significant global cultural change, and while it may seem that it’s deeply in our rear-view mirror, its impact is still felt. Telemedicine, the idea of using information, and the idea of remote care to alleviate the pressures on the front line became a standard feature, and people recognize that.

We see the impact in our relationships with organizations like the WHO in Europe. Take Romania, for example, where we just signed an agreement to help them develop a strategic plan to deliver digital health transformation. HIMSS is focused on four major points.

1. First is digital health transformation.
2. Second is the deployment and utilization of AI as a tool.
3. Third is cyber security to protect that information and ensure that it works for the betterment of their ecosystem with less hassle.
4. Fourth is workforce development, which trains people to understand these tools before they can utilize them to their fullest extent.

Those are our four main areas. When we think about digital health transformation, we start with the HIMSS maturity models from five to seven years ago.

Back then, our maturity models were a checklist of technology. Do you have that technology? Are you wired? That used to be the baseline, what we now consider table stakes. It’s not table stakes anymore.

We’ve transformed our maturity models to reflect quality, access, correctness, and fundamental value. How are you using the information? How does it improve the flow?

From an IT standpoint, we began looking at our maturity models like a stack. It starts with the information layer. What does the infrastructure look like? How is it laid out? How does your data need to be laid out? Where does the electronic medical record go on top of that? How do those two pieces feed into each other? How do you utilize the radiology and the pictures that are in there? How does that flow? What’s your analytical layer? How does this work?

Where are you getting your information, and how are you handling your analytics? How does that tie itself back into the infrastructure? How does that information flow from your reporting back into your EMR and the data layer? How does that data layer tie in when discussing the imaging ecosystem? What’s your continuity of care, the CCMM? How does it flow across the board to ensure you’re not dropping a patient?

We’ve created a stack of maturity models that form the foundation of how information flows from the patient across hospitals, clinics, and homes, wherever the case is provided, to ensure you can keep up with them. And we present these maturity models not just as a technology checklist. Anyone can do that—it’s not meaningless—but anyone can do that. The true focus is on how you use these technologies.

How do you ensure that the relationship between the patient and pharmacy utilization, as well as the benefit realization, is maintained? And how does all this tie together?

Whether it’s community service, a hospital system, or a home, what we’ve created in those stacks is a blueprint that any hospital system, country, or large-scale region can use to identify the technology needed and deploy it for its maximum benefit. 

People do assessments in hospital systems. For HIMSS members in the United States, these assessments are part of the membership, allowing them unlimited access to evaluate their systems. They can conduct these assessments online, check their status, and aim for levels 6 and 7, which is when all those benefits kick in. That’s when we do our validations.

We also do white papers, thought leadership, and HIMSS events, panels and educational programs. More than 300 academic programs are coming up at HIMSS in 2025, with more than 150 offering CE credits.

But these experiences are all based on the output, what worked, and what didn’t work. As you know, learning from others’ mistakes is just as valuable as learning from their successes. Some of the most impactful lessons come from those who try something, fail, and then fix it.

That’s where HIMSS and advisory services come in. We’re presenting the aggregated global knowledge of what’s working and what isn’t.

Most ecosystems don’t work the same way the United States does because most don’t have the same amount of money invested in it. We draw from many healthcare systems- from the U.S., to Romania, Italy, Germany, Singapore, Indonesia, Malaysia and Australia. We learn from all these countries, bring it together in our membership, and figure out what we have learned. How does it impact the models? We do these reviews in a constant session. That’s how we make the society work.

Bashe: It’s a brilliant use of human capital and composite wisdom. As we’re gearing toward the end of our conversation, I wanted to ask you about the Emerge Innovation Experience– this is a first-time gathering, but the concept of start-ups at HIMSS is nothing new. What’s different now is that you’ve recognized that start-ups are a unique culture with unique needs. You’ve assembled a cohort of leaders dedicated to helping these start-ups succeed. What are your expectations from Emerge?

Wolf: First, I’m very interested in the outcome of Emerge. This is the first time that we’re going to try to bring that mesh point I mentioned earlier, where innovations meet operations. They’ve chosen some excellent examples of what can come forward. I think it’s got the right practicality and innovative forethought. From what I’ve heard from people involved in it and talking to people on the committee, I’ve listened to everything from “Wow! This is fantastic and very innovative!” to “It could have been stronger.”

If I talk to heavy innovator startups, they reply that it doesn’t go far enough and could be really “wow.” Meanwhile, those focused on operations often reply that it’s “really pushing the edge.” What that tells me is that it’s in the right mesh point.

What I’m curious to see is how it is received. Many smart people have been working on it, focusing on what will have the biggest impact on operations and be ready for prime time tomorrow, especially in areas like AI utilization and operational impact. What is one step beyond? We also have an incubator ecosystem there.

The Emerge Innovation Experience will be unique, and I look forward to that outcome.

Bashe: I always value your candor.

Wolf: Sometimes, I can get criticized for it, but I believe in absolute transparency. The beautiful part about thought leadership is that we share these thoughts, which makes HIMSS thrive. Transparency is a strength in a positive society. If we’re not transparent with each other, we can’t advance. My grandfather taught me a long time ago that the three most essential phrases in business are “I don’t know, I’ll find out, and I’ll get back to you.” “I don’t know” is critically important.

What’s beautiful about healthcare is that you learn something new every day. It’s impossible to be in the health sector without learning something new every day unless you don’t ask a single question, read nothing, or stay in a room and shut the door.  

Just today, I learned something about HIMSS. I didn’t know because I was asking about a process. A question was raised, and I followed the thread through the organization and found one I’d never seen before, which was exciting.

I appreciate the philosophical and real questions you’re asking. We’re excited about HIMSS 2025 and the learning opportunities it will offer. It’s also about the big picture of what’s happening globally. We call it the Global Conference because it brings together Ministries of Health and NGOs worldwide. It all comes together. This is our largest membership meeting, and we’re thrilled that there’s at least a 35% increase in people signing up for HIMSS membership compared to last year.

Bashe: I’ll be attending this year. As always, thank you for the in-depth exchange. *****

In this insightful conversation, Hal Wolf, President and CEO of HIMSS, explores the critical forces shaping the sector’s future. As industry and governments navigate a rapidly evolving policy landscape under a new administration’s eyes, hospital systems, startups and policymakers must adapt to changing regulations, funding challenges, and digital transformation. Wolf highlights HIMSS’ role as a global leader in uniting a diverse ecosystem to advance health equity, interoperability, and patient-centered care.

A key theme of the discussion is how data and AI are transforming payer, provider and product innovation operations – how information can improve people’s lives. Wolf explains how AI-driven predictive models are integrated to optimize patient care and resource allocation. However, he also warns of ethical concerns—such as the potential for financial-driven decision-making that could prioritize revenue over patient needs. HIMSS plays a vital role in ensuring there is a balance between digital health innovation aligns with quality care and equitable access.

As digital tools, AI, and large language models (LLMs) become more integrated into healthcare, Wolf and Bashe discuss how these advancements can empower providers and patient-enhancing decision-making, improving operational efficiency and offering trusted, system-vetted health information.

As HIMSS prepares for its annual global conference, Wolf emphasizes its role in shaping industry priorities. HIMSS is not just an event; it’s a society that defines strategies, policies, and innovations that drive the future of health. With an expanding ecosystem of startups and industry veterans, HIMSS remains a pivotal force in bridging technology, policy and patient care.

The post The Future of Health Information and Innovation: A Conversation with HIMSS CEO Hal Wolf appeared first on Medika Life.

Technological advances, including AI, are like fire—destructive and essential. Our mastery of fire has been vital to industrial and technological progress, from smelting iron to the steam engine to sterilizing food and medical instruments.  But, unchecked, fire is a destructive, societal danger. Similarly, AI can be a force for positive change, but it requires a positive perspective and responsible use to avoid potential dangers and greater socio-economic disparities.

By tapping into AI’s potential, we can create a future where human ingenuity and machine learning work together to improve the well-being of people and the planet. For instance, AI can assist in medical diagnoses, climate change predictions, and disaster response, among other areas. But to make that possible, we will need the courage and curiosity to see AI as humanity’s partner rather than an unwelcomed competitor – to leverage its strengths to complement our own.

Language matters, so we might be better off and more equipped to apply smart technologies by thinking about AI not merely as “artificial intelligence but, at the same time, “augmented implementation.”  

AI is not theoretical. It’s already transforming drug research and discovery and patient care delivery. From the research bench to the patient bedside, augmented implementation accelerates the discovery of new drugs and optimizes clinical trials, assigning the right patients to the right protocol. In hospitals, AI enhances resource allocation, accelerates clinical decision-making, personalizes patient care, automates administrative tasks such as billing and scheduling follow-up appointments, and tracks supply-chain necessities to avoid drug shortages. These implementation advancements result in better patient outcomes, reduced health costs, and a more effective care delivery system.

So, what is the problem? It seems evident that embracing these information technologies can make us smarter and faster – even fail smarter and faster. We don’t even need to know coding.  Large language models (LLMs) with the proper prompts can generate code based on a natural language description of the desired functionality.  

Perhaps the problem isn’t the technology; it’s humanity.  While most believe that humanity will triumph over tech, people’s fears translate into “pump the breaks” reflexes. But go slow quickly also ensures guardrails are in place for its appropriate use.  These transformative informational technologies are happening; now it’s a question of protecting people’s privacy and well-being, using these platforms ethically and responsibly, and keeping our eye on the prize – people’s healthy lives and the planet’s sustainable future.

20 AI/ChatGPT/LLM Champions to Follow

Once again, selecting only 20 thoughtful pathfinders for this listing was a challenge. There are thousands of people writing, speaking, and commenting about AI. It remains a hot topic and is always trendy. This list is not an exclusive roster of people speaking about or explaining AI possibilities. Those that do appear are key voices of influence at the frontlines of AI, GenAI, ChatGPT and LLMs and are boldly guiding the health sector and other related industries to adapt to these technologies ethically and practically. There is no turning back! For that reason, it is important to follow their social posts, speeches, and writings. They are consultants, physicians, policymakers, teachers and theorists. What they say and write should inform opinions and directions. Follow them and get smarter faster or fail slowly.

On this list, you will notice several differences from our last roster. First, we begin with including an LLM model we have been tracking and recommend following closely. Dave AI was the topic of a previous Medika Life article and is a role model for those interested in the potential of LLM technology to augment the patient-care team’s abilities and desire to help and heal. Dave AI offers patients WAZE-AI-like information support.

We have also included an organizational policy leader to close the list—Hal Wolf, President and CEO of HIMSS. We have interviewed Hal before, and his global community, nearing 40,000 members, comprises health leaders and government representatives who are setting the parameters for how these smart technologies can be used wisely.

Acknowledgments

Special appreciation to Medika Life colleagues such as Drs. Robert Turner, Patricia Farrell, and Michael Hunter, who inspire and the many others from numerous circles I meet at meetings CNS Summit, DHAI, HIMSS, HITLAB, HLTH, and ViVE and who share their thoughts and contribute recommendations. Many who appeared on the initial list of global voices keep in touch and share news of sector colleagues who are in the thick of the conversation. Special acknowledgment to people who appeared on previous Medika Life lists and continue along the path to improve the well-being of people and the planet. These exemplary people are dedicated to improving people’s health and we applaud their efforts to make a difference.

Since the dawn of time, people have been in awe and fear about advances made in times marked by technologies—from fire to AI: the Stone Age, Iron Age, and now, today’s Information and Sustainability Age. Humanity must decide how best to deploy these transformative “thinking” technologies. The emphasis on objective and expansive (courageous) “thinking”—the human touch—remains constant.

Gil Bashe, Editor–in-Chief, Medika.Life

AI and ChatGPT Global Voices of Influence

Here is our Medika Life roster of 20 people to follow in alphabetical order—all-important voices to track and learn from in the coming years. We have included links to the social media platforms and bios wherever available.

Follow these Voices of Influence—they are accessible leaders who write and speak on the future of how AI, ChatGPT, GenAI, and LLMs will be essential to health system transformation and the future of care delivery.

Dave AI

Dave is the world’s first LLM conversational AI oncology mentor for cancer patients, bringing a new level of support for cancer patients and their families and trained on billions of unique data points and anonymized real-world patient journey information accumulated during eight years on the Belong Life platform. Learn how LLMs make a difference for patients and the care team, “Meet Dave” and see the practical possibilities and potential of LLMs.

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Anima Anandkumar, PhD

Anima Anandkumar is a Bren Professor at Caltech. Her work developing novel artificial intelligence algorithms enables and accelerates scientific applications of AI, including scientific simulations, weather forecasting, autonomous drone flights, and drug design. Anandkumar is a fellow of the ACM, IEEE, Schmidt Science, Guggenheim and Alfred. P. Sloan Foundations. 

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Brian Anderson, MD

Dr. Brian Anderson is the Chief Executive Officer and Co-Founder of the Coalition for Health AI (CHAI). He leads a national coalition developing technical standards and best practices for MLOps, including governance, testing, evaluation, and monitoring in Health AI Assurance Labs. Dr. Anderson led the Informatics and Network Medicine Division at Athenahealth, where he launched a new approach to clinical decision support leveraging machine learning models.

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Pascal Bornet

Pascal Bornet is an award-winning expert, author, keynote speaker, influencer, and thought leader in artificial intelligence. He has received multiple technology and artificial intelligence awards. Various research and consultancy firms rank him as one of the top 10 global experts in AI and Automation, and he was awarded Global Top Voice in Tech in 2019. He is the author of the best-seller and first reference book on Intelligent Automation.

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Lex Fridman, PhD

Lex Fridman, PhD, is a Russian-American computer scientist, podcaster, and artificial intelligence research scientist at the Massachusetts Institute of Technology on computer vision and autonomous vehicle systems, among other areas of specialty. Fridman also hosts the “Lex Fridman Podcast,” a popular podcast and YouTube series.

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Mo Gawdat, MBA

Mohammad “Mo” Gawdat is an Egyptian entrepreneur and writer. He is the former chief business officer for Google X and the author of the bestselling business books covering life and technology: Solve for Happy and Scary Smart – The Future of Artificial Intelligence and How You Can Save Our World. His premise is critical – “Humans design the algorithms that define the way that AI works, and the processed information reflects an imperfect world.”

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Aneesh Chopra, MPP

Aneesh Chopra is the Chief Strategy Officer of Arcadia, a health data platform that acquired CareJourney, the company he co-founded in 2014. Aneesh served as the first United States White House Chief Technology Officer during the Obama Administration and authored “Innovative State: How New Technologies Can Transform Government.‘ When it comes to policy and smart tech applications, he’s at the forefront of the conversation.

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Eric Horvitz, MD

Microsoft’s Chief Scientific Officer and an early AI champion for health and medicine going back many years, Dr. Eric Horvitz is among the founders and funders of Stanford’s 100-year longitudinal study of the impact of AI on Society. Dr. Horvitz is known for his contributions to AI theory and practice, with a focus on principles and applications of AI amidst the complexities of the open world.

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Andrej Karpathy, PhD

Andrej Karpathy was the senior director of AI at Tesla, where he led its computer vision team in the development of the Tesla Autopilot. He championed its neural network training, the science of “making it work, ” and deployment. His PhD focused on convolutional/recurrent neural networks and their applications in computer vision, natural language processing, and their intersection – his adviser was Fei-Fei Li at the Stanford Vision Lab, who also makes this list of 20 people to follow. He also did a stint at OpenAI.

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Tom Lawry

Tom Lawry is a leading AI transformation advisor to health and medical leaders globally, a top keynote speaker, and best-selling author of Hacking Healthcare – How AI and the Intelligent Health Revolution Will Reboot an Ailing System. Now the managing director of Second Century Tech, he is a former Microsoft leader who served as National Director for AI for Health and Life Sciences, Director of Worldwide Health, and Director of Organizational Performance for the company’s first health incubator. Prior to Microsoft, he was Senior Director at GE Healthcare, the founder of two venture-backed healthcare software companies, and a health-system executive.

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Fei-Fei Li, PhD

Dr. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University and Co-Director of Stanford’s Human-Centered AI Institute. She was the Director of Stanford’s AI Lab from 2013 to 2018 and mentored others appearing on this Medika Life Top 20 list of AI voices to follow.

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Berci Mesko, MD, PhD

Bertalan Meskó, PhD, is known as “The Medical Futurist” and the Director of The Medical Futurist Institute. He analyzes how science fiction technologies can become a reality in medicine and healthcare. Dr. Mesko’s writings are must-reads—he provides incredible practical knowledge on how AI will transform the health sector. He holds a PhD in genomics and is an Amazon Top 100 author. His book, “The Future of Medicine,” outlines his journey as a medical futurist.

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Allie K. Miller

Allie K. Miller was the Global Head of Machine Learning Business Development for Startups and Venture Capital at Amazon (AWS), advising the world’s top machine learning researchers, founders, and investors. She was the youngest-ever woman to build an artificial intelligence product at IBM, spearheading product development across computer vision, conversation, data, and regulation for thousands of companies. Allie continues to explore how this technology will impact workflow.

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Andrew Ng, PhD

Dr. Andrew Ng is a globally recognized leader in AI. He is the Founder of DeepLearning.AI, the Founder and CEO of Landing AI, the General Partner at AI Fund, the Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University’s Computer Science Department.

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John Nosta

John Nosta is a cutting-edge thinker and speaker in the world of technology, science, medicine, and innovation. He is globally recognized among the foremost voices constantly pushing the envelope on how AI and ChatGPT will transform health settings and workflow. Nosta is a nonstop power thinker (and contrarian) and has more than 500 articles published on innovation topics. His writings on Psychology Today chronicle “The Cognitive Age.” John is someone who challenges the status quo. As a creative thinker; he’s also been the spark behind several multi-billion health products improving and saving lives.

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Tam C. Nguyen

Tam Nguyen holds multiple appointments, including Associate Professor at Melbourne Medical School and Deputy Director of Research at St. Vincent’s Hospital Melbourne. He has more than 20 years of experience in clinical trials, health and medical research, and research management, including tertiary teaching hospitals, medical research institutes, and universities across Australia. He is applying smart technologies to learn and engage faster. He is the co-editor of the recent book Artificial Intelligence in Medicine (Springer).

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Ziad Obermeyer, MD

Ziad Obermeyer, MD, is the Blue Cross of California Distinguished Associate Professor of Health Policy and Management at the UC Berkeley School of Public Health, researching the intersection of machine learning, medicine and health policy. Before his full-time career in emergency medicine, he consulted pharmaceutical and global health clients at McKinsey & Co. in New Jersey, Geneva, and Tokyo.

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Brian Roemmele

Brian Roemmele is an author, scientist, researcher, analyst, connector, thinker, and doer. Brian became an early adopter of AI and neural networks and pioneered Prompt Engineering technologies and techniques to understand and extract information from AI platforms. He’s also a bit of a pop icon, and his works range from smart tech to how to apply Pokémon for customer acquisition.

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Stela Solar

Stela Solar is the Inaugural Director of Australia’s National AI Centre, hosted by CSIRO. The Centre’s mission is to accelerate positive AI adoption and innovation that benefits businesses and the community. Currently, Stela also serves as Co-chair of the Commonwealth AI Consortium.

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Harold (Hal) Wolf III

Harold (Hal) Wolf is the president and CEO of HIMSS, a global advisor and thought leader supporting the transformation of the health ecosystem through information and technology. If health-related smart technologies such as AI, ChatGPT, GenAI, and LLMs have a central home to discuss policies and implementation, it is HIMSS. Hal shepherds the world’s health information expert community, and his staff advances the science and policy championing implementation throughout the health ecosystem. Wolf and HIMSS are where theory meets action.

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Spot a broken link, typo, forgotten degree, or name misspelled?

Oops! Apologies! While care has been taken in compiling this list and adding social media links, things go wrong: a name is misspelled, a link is broken, or an incorrect social media handle is listed. Please do get in touch to address typos, amendments, or omissions by reaching gil.bashe@medika.life.

Thanks in advance and be healthy!

The post As AI and LLMs Supercharge Digital Health Possibilities – Here Are Medika’s Top 20 ’24 Influential Voices to Follow appeared first on Medika Life.

Ninety Nations Are Expected to be Represented At HIMSS

Among those 90 countries will be Israel, well-known for its outstanding health system, novel engineering acumen and always-on entrepreneurial engine. Israeli startups have been instrumental in developing breakthrough technologies and treatments, from telemedicine to augmented intelligence, precision medicine, and virtual and medical imaging. These innovations continuously improve health within Israel, home to Sheba Medical Center, one of Newsweek’s leading global hospital systems. They are exported globally, contributing to the country’s economy and worldwide standing as a top business development partner.

When the war broke out in early October 2023, Israeli attendees planning to attend the Las Vegas HLTH meeting either rushed home to reunite with family members or canceled plans to travel.  HIMSS24 Orlando will be the reboot after six gut-wrenching months when the Israeli Innovation Las Vegas HLTH Pavilion was largely vacated and war broke out.  These resilient innovators will travel to Orlando for their long-awaited plans to connect with the global health information community.

A Private Equity Firm that Champions its Portfolio Companies Globally

eHealth Ventures Group (eHV), an Israeli-headquartered private equity firm with some $1 billion under management, is planning a special HIMSS delegation of 10 of its portfolio companies – enterprises that range from start-ups to in-market companies rubbing shoulders with some of the world’s most prestigious biopharmaceutical and health system players. Some companies joining eHV Partner Ophir Shahaf focus on improving health system use of information and operations; some apply the practice value of AI and GenAI to functions where sufficient human capital is unavailable; others are pioneering new ways to address pressing medical conditions.  All come to Orlando to meet and exchange ideas with US-based colleagues during HIMSS.

Hear Medika Life Editor Gil Bashe’s exclusive interview with eHealth Venture Partner Ophir Shahaf on Healthcare Now Radio: LISTEN HERE.

From Information to Clinical Innovation Israeli Innovators Head to HIMSS

• Coronary artery disease (CAD) is a progressive condition that often remains asymptomatic for years, leading to delayed diagnosis and treatment. AccuLine has developed an accurate and non-invasive exam for the early detection of CAD to prevent millions of heart attacks. The user-friendly exam includes a four-minute measurement of vital signs, safely replacing traditional ergometry. This approach addresses the limitations of existing tools in terms of accuracy, invasiveness, and cost. The company has demonstrated promising clinical results with high precision and cost-effectiveness, supported by strategic partnerships with industry leaders, including Intratech, Sanolla, NovaSight, Lumenis, and Johnson & Johnson.

“In the fragmented health ecosystem, where patients may encounter barriers to accessing specialized care, the technology bridges this gap by offering a standardized and accessible diagnostic solution for CAD, ensuring equitable access to timely cardiac care regardless of geographic location or setting,” said Moshe Barel, Acculine CEO. Streamlining the diagnostic process and providing immediate results can accelerate time-to-care, enable clinicians to initiate prompt intervention, and improve patient outcomes.”

• Agamon Health is an imaging patient workflow management platform that leverages GenAI to connect providers and patients and coordinate the next steps in care management. By seamlessly coordinating interactions among radiologists, referring providers, nurse navigators, and patients, Agamon facilitates early diagnosis, enhances care quality, and boosts operational efficiency. Its platform accuracy has been honed, drawing from more than 20 million radiology reports, and has demonstrated a 55 percent increase in patient adherence and a 10-time return on investment.

“Care gaps are a common and unfortunate part of the health systems in the US because the system is siloed – from clinical and technical perspectives. In radiology, 20 percent of all radiology reports require some follow-up, and more than 60 percent of those patients don’t circle back, said Steve Linowes, Agamon HealthUS General Manager. This happens for several reasons. In many instances, referring providers aren’t connected to the health system that conducted the original radiology procedure, so there isn’t an easy way to communicate or have them order the follow-up procedure. This impacts more than 80 million patients annually and represents billions of dollars in lost revenue to health systems.”

• Insight Axis introduces a diagnostic tool designed for better management of neuropsychiatric disorders and improved psychiatric diagnosis and treatment. Led by a team of experts in electrophysiology, neuroscience, and mathematics, Insight Axis offers an AI-based platform that assesses treatment responsiveness, predicts medication compatibility, and characterizes disorders based on brain signatures. With no known biomarkers available for psychiatric disorders, Insight Axis provides clinicians with objective data from standard EEG tests integrated into its Quantum Physics and AI-based platform. This innovative system, backed by solid IP, promises to transform the approach to psychiatric care, ensuring more accurate diagnosis and personalized treatment recommendations.

• Thousands of neurosurgeries are performed globally daily. Each requires neuromonitoring coverage, and a specialized neurophysiologist oversees the surgeon to prevent potential nerve injuries. However, there is an insufficient number of these professionals to oversee each surgery, increasing nerve damage and paralysis risks for patients undergoing surgery without surveillance. Nervio created the world’s first autonomous neuromonitoring solution, reducing dependence on these high-demand professionals and potentially making neuromonitoring oversight available in every OR globally.

“Why does this matter to health systems, providers and patients?  A particular worry is post-injury post-spine surgery, a clinical concern now monitored using 30-year-old technology,” reflects Nervio CEO Ariel Weinstein, a long-standing entrepreneurial leader. “To increase physician and patient confidence, Nervio has created an expert-trained AI system that mirrors the vigilance of expert oversight. This technology reduces stress, risk and operating costs.”

• NimBio has developed an AI-based disease management platform to transform the treatment of immune-mediated inflammatory Diseases (IMIDs). With its focus on Inflammatory Bowel Diseases (IBD), NimBio is developing flare-up prevention technology through a 100% non-invasive remote inflammation management platform. This advanced technology, including a wearable sensor and AI-based predictive algorithm, predicts flare-ups before they occur, enabling intervention and treatment. NimBio collaborates with clinical and business partners, including Mayo Clinic and AMGEN, as it collaborates within the medical and therapeutic community to secure a unique place, timing, and perfect IMID treatment.

• Through automated data collection and its ultra-lightweight real-time locating system, QLOG enables hospitals to easily track equipment, medical supplies, and patients. By increasing visibility with its data automation solutions, QLOG helps healthcare organizations reduce costs, control processes, and assets, and improve safety and quality of care. The result is 45 percent better equipment utilization, 65 percent less supply loss and waste, and 90 percent improved compliance and safety. Leading health institutions are already deploying the QLOG in Israel and throughout Europe.

“QLOG looks to improve the way healthcare operates. We are proud to be making an impact, redefining the communication channels between the organization and the workforce, and defining how healthcare is managed,” said Dr. Amit Lehavi, QLOG founder and CEO, in announcing a successful funding round. “Our Healthcare Operations Platform displays remarkable financial impact and quality improvements across Israel and Europe. This has a direct positive influence on patient care by reducing nurse burnout and improved retention.”

• RespirAI Medical has designed an AI-powered wearable platform for long-term, at-home monitoring of chronic respiratory diseases. The device is based on a bio-coupling novel marker – measuring synchronization among breathing and walking, detecting COPD flare-ups before they flare out of control. Beyond COPD management, the platform offers health professionals the potential to identify additional respiratory and cardiac complications early and personalize medication management for these conditions.

“The RespirAI solution can improve clinical outcomes for health professionals managing chronic respiratory diseases,” says CEO Nimrod Bin-Nun. “By facilitating early detection of lung function changes and exacerbations, the RespirAI platform enables proactive intervention, reducing hospitalizations, alleviating symptom severity, and saving patient’s lives. The remote monitoring feature enhances patient convenience and lowers healthcare costs, minimizing the need for in-person visits,” he added.

• Chronic lower back pain (CLBP) impacts millions worldwide. Current care methods often focus on symptomatic relief or invasive procedures, overlooking the root mechanical imbalances contributing to CLBP. This fragmented approach leads to prolonged suffering, high healthcare costs, and limited access to adequate care. Symetrify addresses this gap in care by targeting the neuro-mechanical root cause of CLBP, providing efficient and non-invasive treatment that accelerates time-to-care decisions and improves patient outcomes. Software-based, Symetrify provides therapeutic effects while enhancing treatment capacity and efficiency for providers, focusing on patient engagement, follow-up, and retention.

“The workplace setting faces significant challenges with chronic lower back pain (CLBP), impacting millions. Current care methods often focus on symptomatic relief or invasive procedures, overlooking the root mechanical imbalances contributing to CLBP,” says Dana Chanan, CEO. “This approach leads to unnecessary suffering, high health costs, and reduces access to effective care. Symetrify addresses this gap by targeting the neuro-mechanical root cause of CLBP, providing non-invasive treatment to accelerate time-to-care decisions and improve outcomes.”

• Yonalink provides electronic data collection solutions (EDC) for clinical trial sponsors, hospitals, and contract research organizations, enabling the post-COVID ideal of decentralized clinical trials to become a reality. Its platform integrates data collection from patients’ medical devices, wearables and electronic health records (EHRs). It replaces manual processes to improve trial efficiency and reduce staff burnout—Yonalink pioneers EHR-to-EDC data streaming from a global network of more than 7000 medical centers. By simplifying data capture, management and transfer, Yonalink reduces the burden on clinical trial teams.

“By automating the data collection and management process and enabling remote data monitoring from any electronic health record, Yonalink makes clinical trial access available to any patient, anywhere,” reports Iddo Peleg, Yonalink CEO and Co-founder. “The system eliminates errors caused by manual data transfer, frees time for study staff to focus on more critical tasks, and provides sponsors with real-time data oversight to keep trial timelines on track.”

• The economic impact of migraine-related productivity loss is significant, with indirect costs to the US economy ranging from $22 billion to $78 billion annually due to missed workdays and diminished on-the-job efficiency.  Wizermed is developing a solution for migraine attack prediction before onset. Its AI-based platform, Migraine Predict, utilizes smartwatch technology to detect, predict, and manage migraines effectively. The platform can provide a daily “migraine forecast,” accurately predicting whether the next day will likely be migraine-free or if an attack is imminent. This reduces the anxiety and stress associated with the unpredictability of migraines, gives people a greater sense of control of their migraines, and enables earlier, proactive intervention to minimize the impact of a migraine.

“The capacity to foresee and alleviate the impact of imminent attacks holds significant potential for enhancing the well-being of migraine sufferers, who often feel their condition dominates their lives,” reinforces Wizermed Founder and CEO Guy Attar. “This solution empowers individuals with the means to reclaim control over their quality of life. Furthermore, this solution benefits employers by enhancing workplace productivity, reducing absenteeism, and fostering higher employee satisfaction. Notably, there’s potential to decrease the frequency and intensity of attacks, a critical consideration given the substantial prevalence of migraine sufferers in the population,” he adds.

While conflict prevails, many wonder how this impacts Israel’s innovation engine and access to investment.  According to the Israeli business publication The Israeli Business News – The Globes, “Israeli startups raised $500 million in January 2024, drawing from companies’ press announcements.”  The Globes estimates this figure might be even higher as many Israeli companies keep their investment news under the radar screen.

Overall, global investment in digital health, including health information, is down year-to-year from the exuberant COVID years. That trend is confirmed by Galen Growth, one of the world’s leading market intelligence firms; raising half a billion in month one of 2024, the Israeli health innovation sector shows resilience and strength.  HIMSS is an excellent opportunity to meet with these companies and others from the “Start-Up Nation,” whose ideas and intentions are to improve human health worldwide.

The post HIMSS – Global Meeting Ground for Health Info Innovators to Secure Partnerships and Advance Care appeared first on Medika Life.

We may be spending too much time singing the praises of the tech and less time exploring how to deploy these channels and resolve long-tolerated problems. We may be overly impressed by their engineering marvel and less centered on democratizing information to tackle health equity disparities. Some health payers and provider systems are using AI to pump the breaks on authorizations when the bigger issue is whether those that need preventive and engaged care gain prompt access. Efficiency without effectiveness limits AI’s great possibilities.

HIMSS leaders are asking these questions. They are tapping into global experts in information management, cybersecurity, patient engagement, upskilling health provider system IT teams, discussing policies with government leaders worldwide and much, much more. If you thought HIMSS was a colossus annual meeting – a party for health IT pros, think again! HIMSS CEO Hal Wolf and his staff are passionate about how information creates informed (and accurate) decisions. Their roles within this global society hold great influence and they understand that with responsibility comes accountability.

I had the opportunity to meet with the HIMSS leadership team for an upcoming feature and conduct a special radio interview for Healthcare Now Radio network on Health Unabashed with the HIMSS CEO. Here’s the preview. My full and candid conversation with Hal and Executive Producer Gregg Masters will air starting Monday, March 11th starting 10AM, three times daily for two weeks.

The post HIMSS 2024 will Feature Prominently in Medika Life Coverage appeared first on Medika Life.