Across boardrooms and conference stages, leaders talk about artificial intelligence as if it’s the disruption to manage—the next great differentiator between healthcare organizations. Strategies are framed around AI adoption, governance, and maturity, as though intelligence itself is the “holy grail.”

It isn’t.

The real disruption didn’t arrive as a technology roadmap or a vendor demo. It walked through the front door, pulled out a phone, and sighed in frustration.

Your competition isn’t the health system across town. It’s the experience someone had with Amazon the night before.

Healthcare is no longer evaluated against healthcare. It’s evaluated against the rest of a person’s life—and in 2026 that life is increasingly intelligent, mobile, personalized, and relentlessly convenient. That is the shift many healthcare organizations still haven’t fully internalized.

Welcome to the era of the Intelligent Health Consumer.

I first wrote about the rise of the Intelligent Health Consumer in my 2020 book, AI in Healthcare – The Rise of Intelligent Health Systems. At the time, the idea felt forward-looking. Today, it’s no longer a prediction. It’s simply reality.

Consumers don’t wake up thinking about AI. They wake up inside it.

Intelligence has become the background hum of daily life—so embedded that it’s almost invisible. A wearable quietly interprets sleep patterns and physiological signals overnight. A bank resolves fraud before anxiety ever has a chance to surface. A travel app predicts price changes with uncanny timing. A streaming service understands mood and preference like a close friend.

None of this feels magical anymore. It feels normal.

And that distinction matters.

Because consumers don’t care how these systems work. They care about how they feel. These experiences remove effort. They anticipate needs. They deliver clarity without demanding attention. They respect time.

This is the world people now inhabit—one where intelligence fades into the background and life simply works.

And then a consumer enters healthcare.

Suddenly, everything slows down.

Tasks that should take minutes stretch into days. Answers that should be clear are buried inside portals filled with PDFs, unexplained terminology, and fragmented information. Scheduling feels transactional. Billing feels adversarial. Navigation feels like guesswork rather than guidance.

Not because clinicians lack compassion or capability—but because the experience surrounding the extraordinary skills, talents, and hopes of doctors, nurses, and care teams has not kept pace with the intelligence shaping the rest of a consumer’s life.

This is where the real gap lives.

It’s tempting to say healthcare is falling behind. That framing misses the mark. Clinically, healthcare is advancing at an extraordinary pace. Scientific discovery, diagnostics, therapeutics, and medical expertise continue to accelerate.

The problem is that everything outside healthcare is advancing even faster in how it communicates, anticipates, and personalizes.

The reference point has moved.

Healthcare hasn’t moved with it—yet.

Consumers feel that dissonance immediately. They don’t need surveys to tell them something is wrong. They feel it in the friction, the repetition, and the lack of continuity. They feel it when every other industry seems to remember them, but healthcare still asks them to explain themselves from scratch.

When that happens, healthcare isn’t compared to another hospital or health plan. It’s compared—often subconsciously—to the best experience they had yesterday.

That’s why the Amazon comparison matters. Not because healthcare should behave like retail, but because consumers carry expectations forward. Seamless ordering, proactive communication, and effortless resolution become the baseline. When healthcare falls short of that baseline, it doesn’t feel “complex.” It feels outdated.

At this point, many leaders retreat to a familiar refrain: healthcare is different. More regulated. More complex. More consequential.

All of that is true—and also beside the point.

Consumers don’t experience regulation. They experience interaction.
They don’t see complexity. They feel confusion.
They don’t care why something is hard. They only know that it is.

Here’s the uncomfortable reality: regulation does not require opacity. Complexity does not demand friction. Clinical care may be uniquely serious, but the experience around it does not need to feel uniquely broken.

The world has already reset expectations for how organizations communicate, respond, and adapt. Healthcare didn’t opt out of that reset. It simply hasn’t fully acknowledged it.

What’s driving this change isn’t AI adoption curves or technology roadmaps. It’s something far more powerful: expectation inflation.

For decades, healthcare transformation was driven by reimbursement changes, regulatory pressure, or policy shifts. Today, it’s driven by comparison. Consumers no longer compare hospitals to other hospitals. They compare healthcare to the best experiences they have anywhere in their lives.

This is the real disruption.

Not AI as a tool—but AI as a trainer of expectations.

Once consumers are taught that systems can anticipate, explain, and adapt, anything that doesn’t feels outdated. Any friction feels unnecessary. Any opacity feels like indifference.

The Intelligent Health Consumer isn’t waiting for healthcare to catch up. They’re already here, carrying expectations shaped elsewhere. They expect clarity without chasing it. They expect personalization without paperwork. They expect systems that remember, connect, and anticipate. They expect digital experiences that don’t require training manuals or patience.

Most importantly, they don’t view healthcare as a special ecosystem with separate rules. They view it as part of life. And life, now, is intelligent.

This doesn’t mean healthcare needs to become Amazon or Netflix. It doesn’t mean care should be transactional or superficial. It means healthcare must operate in a world where consumers are trained—every single day—by organizations that remove friction by default.

That is the shift.

The organizations that succeed over the next decade won’t be defined by the size of their campuses, the number of beds they operate, or even how much technology they deploy. They’ll be defined by how well they use intelligence to make care feel coherent, humane, and responsive.

They’ll understand something essential:

AI isn’t the story.
The consumer is.

The Intelligent Health Consumer has arrived. The only remaining question is whether healthcare is willing to meet them where they already are.

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It was the fall of 2022 when large language models and Generative AI burst out of research labs and onto Main Street. Since then, every day seems to bring another AI breakthrough that challenges how work gets done.

In my role advising organizations on AI strategy and deployments, I see a consistent pattern among healthcare leaders: excitement about what AI could unlock, paired with exhaustion from the volume of noise, pressure, and competing claims.

Welcome to 2026.

As predictions flood inboxes and social feeds, focused on what AI might do next, I want to ground the conversation in something more useful. Rather than forecasting outcomes, let’s focus on three forces already at work—forces that will determine whether AI delivers real value in healthcare or quietly stalls.

Will 2026 be a year of boom, bust, or backlash?

The honest answer is yes.

Boom: Early Wins—and an AI Arms Race

Let’s start with what’s working.

Healthcare is seeing real, if narrow, gains from AI:

• Ambient documentation reduces administrative burden
• Imaging and pathology tools iare mproving speed and consistency
• Operational and revenue cycle applications driving incremental efficiency

These are not moonshots. They are targeted solutions addressing specific pain points. And they matter.

At the same time, healthcare is now firmly in an AI arms race.

Every EHR vendor, medical device company, life sciences firm, and digital health startup is racing to declare itself “AI-native.” Roadmaps are packed with copilots, assistants, agents, and automation claims. No vendor wants to be perceived as falling behind.

That pressure is accelerating innovation—but it’s also compressing timelines, encouraging over-promising, and pushing organizations to adopt faster than they can realistically absorb.

Boom energy is real.

But it is also uneven and fragile.

Prediction: Within two years, most AI used in provider organizations will arrive embedded inside core systems and devices already in use. Intelligence will not be something teams “add on”; it will be something they inherit.

Recommendation: Understand where AI is already embedded across your vendor ecosystem and what’s coming next. Engage early through advisory councils or pilots. Engage and prepare clinicians before introducing these capabilities into workflows. AI should never arrive as a surprise.

Bust: When Pilots Multiply, but Value Doesn’t

Generative AI has dominated innovation agendas, yet only a fraction of pilots ever reach sustained production. A survey cited by MIT reports that roughly 95% of business AI pilots fail to generate measurable returns.

This is not evidence that AI lacks value.

It is evident that many organizations lack discipline.

High failure rates are normal in early markets. Technology matures. Tools improve. But value only materializes when leaders focus on fundamentals: design, data readiness, workflow integration, and ownership.

Most AI initiatives fail not because the technology doesn’t work, but because success is never clearly defined. Projects are launched out of curiosity, vendor pressure, or fear of being left behind. Clinical impact, operational accountability, and economic value are clarified too late—if at all.

Equally damaging is the underestimation of the human systems AI enters. Healthcare work is relational, regulated, and trust-dependent. When AI is introduced without redesigning workflows, preparing staff, or clarifying responsibility, it creates friction—not relief. Adoption then stalls quietly.

Prediction: In 2026, organizations will run fewer AI pilots—but with much higher expectations. Boards and executives will require clearer evidence of clinical, workforce, or financial value before approving new initiatives.

Recommendation: Move from “fail fast” to “fail before you scale.” Define success upfront, assign ownership early, and redesign workflows in tandem with technology. AI initiatives without a credible path to value should be halted immediately.

Backlash: Fear, Workforce Anxiety, and the Trust Gap

The most underestimated force shaping AI’s trajectory in 2026 is neither technical nor financial.

It’s human.

History offers context. When automobiles first appeared, they were seen as dangerous and socially disruptive. Red Flag laws required people to walk ahead of vehicles waving flags and capped speeds at just a few miles per hour. These laws weren’t about innovation—they were about fear, control, and adjustment.

Healthcare AI is entering a similar phase.

Workforce research shows healthcare workers are among the most cautious about AI adoption, citing concerns about trust, transparency, and job impact. This caution is not irrational. Healthcare has a long history of technology being imposed rather than co-designed.

As a result, scrutiny is increasing—particularly from labor organizations and state legislators. Recent bills, including those limiting AI’s role in clinical decision-making and licensed practice, reflect not anti-innovation sentiment, but unresolved trust and knowledge gaps.

Innovation does not scale without trust.

In 2026, AI scrutiny will intensify, especially with labor organizations and at the state legislative level.

As I write this, the Chair of the New York State Senate Committee on Internet and Technology just introduced a bill (S7263) to “protect patients and front-line care workers from the adverse effects of AI tools in risky or untested settings.”  The bill prohibits chatbots from performing the duties of licensed nurses and puts strong guardrails around the use of AI in healthcare settings.”

I often write about the need for a balanced approach to defining both the “gas and guardrails” that guide AI’s use in health and medicine. Incentives and safeguards are equally important.

Prediction: Expect increased legislative activity and labor engagement around AI in healthcare throughout 2026. Such actions should not be dismissed simply as anti-innovation. They reflect something deeper: a trust and knowledge gap that needs to be closed.

Recommendation: Create durable AI value by investing in workforce and consumer education. Clinicians need clarity—not just on how AI works, but on how it supports professional judgment rather than replaces it.

From Awe to Analytical

The year ahead will test the resolve of leadership. Transformation in healthcare is rarely linear—and never clean.

Vendors will continue to showcase breakthroughs. The hype will continue. But 2026 is not the year for cheerleading.

It is the year for realism.

The most effective leaders are moving from awe to analysis—recognizing that AI value does not come from the technology itself, but from the opportunity it creates to rethink how work gets done.

In that sense, AI value is—and always will be—a uniquely human process.

The post AI in 2026 – Boom, Bust or Backlash in Healthcare? 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.

Founded in 1948, WHO is a United Nations agency whose charter is to plan and coordinate the international response to health emergencies and help countries monitor, prepare for, and recover from disease threats. 

While not without controversy, WHO is the single best forum for predicting and planning for events affecting the health of humans across the planet.

Media coverage of the US withdrawal has focused on political rancor (Trump believes WHO mishandled the pandemic) and funding (While the US is one of 194 participating countries, it funds almost 20% of the agency’s $6.8 billion budget).[i]

As the new Administration gives up America’s seat for global health planning, its important to shine a light on real issues impacting Americans’ health and well-being. They are worth public scrutiny and debate, starting with this statement:

America is a First-World Nation Battling its Own Third-World Health Crises

America’s health care system is the most expensive in the world. It’s staffed with some of the world’s best health and medical talent. Despite this, we are at the bottom of the list in overall health compared to all developed nations. This includes access to care, administrative efficiency, equity, and health care outcomes. ^[ii]

• Americans are among the least healthy people in the rich world and among the most likely to die early.
• The richest men in America live longer than the average man in any country. The poorest have life expectancies comparable to men in Sudan and Pakistan.[iii] 
• If you are a citizen of Mississippi, you probably won’t live as long as someone from Bangladesh. [iv] [v] [vi]

• Maternal mortality rates for American women are worse than in most third-world countries. Even more unexplainable is that Black women are three times more likely to die of childbirth than White women. This gap is worse today than it was when we began keeping records in the early 1900’s.[vii] 
• America is a global leader in avoidable amputations. This is mainly due to the improper management of diabetes, which impacts 38.4 million Americans.[viii]
• 30 million Americans die prematurely each year from preventable diseases. Twenty-seven percent of US health-care spending goes to managing health conditions that are preventable.[ix]

As the World Health Organization focuses on increasing its investments in global Public Health, it’s important to note that America’s investment in similar Public Health services is declining.

Winston Churchill once said, “Healthy citizens are the greatest asset any country can have.”  And so, as we discuss and debate America’s role in creating a healthier world through organizations like WHO, let us actively debate and decide what priorities we will invest in to improve the health of the 330 million people who call America home.

[i] https://www.msn.com/en-us/politics/government/what-is-the-world-health-organization-and-why-does-trump-want-to-leave-it/ar-AA1xFf0l?ocid=BingNewsSerp

[ii]Mirror, Mirror 2024: A Portrait of the Failing U.S. Health System,  Commonwealth Fund, September, 2023, https://www.commonwealthfund.org/publications/fund-reports/2024/sep/mirror-mirror-2024

[iii] Raj Chetty, Michael Stepner, Sarah Abraham, Shelby Lin, Benjamin Scuderi, Nicholas Turner, Augustin Bergeron, and David Cutler,  Income and Life Expectancy in the United States: Executive Summary,  The Health Inequality Project, April 2016, https://www.healthinequality.org/documents/paper/healthineq_summary.pdf 

[iv] NICHOLAS KRISTOF, How Do We Fix the Scandal That Is American Health Care? New York Times, https://www.nytimes.com/2023/08/16/opinion/health-care-life-expectancy-poverty.html?smid=em-share

[v] Life Expectancy at Birth by State, National Center for Health Statistics, https://www.cdc.gov/nchs/pressroom/sosmap/life_expectancy/life_expectancy.htm (cdc.gov)

[vi] Life Expectancy at Birth – Bangladesh, World Bank Group https://data.worldbank.org/indicator/SP.DYN.LE00.IN?locations=BD

[vii]Achievements in Public Health, 1900-1999: Healthier Mothers and Babies, Centers for Disease Control (CDC), Achievements in Public Health, 1900-1999: Healthier Mothers and Babies (cdc.gov)

[viii] NICHOLAS KRISTOF, How Do We Fix the Scandal That Is American Health Care? New York Times, https://www.nytimes.com/2023/08/16/opinion/health-care-life-expectancy-poverty.html?smid=em-share

[ix] Sandro Galea, Nason Maani, The Cost of Preventable Disease in the US,  The Lancet, October, 2020, https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(20)30204-8/fulltext

The post The Real Conversation We Should Be Having as the United States Pulls Out of the World Health Organization appeared first on Medika Life.

For too long, “AI” has been the abbreviation for “artificial intelligence.”  Reject that label!  It’s not only limiting – it’s incorrect.  The information gathered and parsed comes from real-world sources – patients, payers, product innovators, policymakers, and providers.  It is composite data, once called “big data,” sliced and diced through machine learning and then applied to good, sometimes life-sustaining use.  It’s time we acknowledge how “AI” has become a practical source for talent and organizational enhancement.

Health Enters the Age of “Augmented Implementation”

Here’s a dive into 10 transformative examples of how “AI” enables people to tap into their significant potential to heal and accelerate care delivery.  Change is always hard, even when the advantages appear evident, as it requires revamping processes and policies.  However, as innovation theorist, AI philosopher and Nosta Lab Founder John Nosta reflects: “Culture crushes innovation.” 

Nosta shares with Medika Life readers: “AI, particularly through large language models (LLMs), is revolutionizing healthcare by fostering ‘learner-centricity.’ This approach places physicians, patients, and healthcare systems at the center of a dynamic, personalized learning process. LLMs provide tailored, context-specific knowledge, enabling real-time insights and deeper understanding. Whether it’s a clinician refining diagnostic skills or a patient comprehending treatment options, LLMs create a collaborative learning ecosystem. This synergy enhances the healthcare experience, empowering all participants through shared knowledge and continuous growth.”

The culture of medicine is storied and slow-moving. Still, these 10 approaches to weaving AI into the health system are piquing people’s priorities and enthusiasm for greater use. The wave of universal acceptance is underway.

1. Revolutionizing Patient-Clinician Interaction

Ambient Listening Technologies (ALTs) are modernizing how clinicians transcribe medical documents – by capturing, recording, managing, and analyzing audio data from the patient exam room. AI transcription tools like the Nuance Dragon Ambient eXperience (DAX) from Microsoft streamline recording tasks that once consumed chunks of a clinician’s day. AI-driven transcription systems record and summarize patient-clinician conversations, enabling providers to focus on patients rather than documentation. The plus for doctors is reduced admin time; for patients, it provides the benefit of ensuring their provider has real-time notes for follow-up care delivery.

2. AI-Enhanced Diagnostics are Challenging the Future of Illness

Technologies like DeepMind AlphaFold provide unprecedented insights into protein structure prediction, accelerating drug discovery and enhancing diagnostic tools for diseases like Alzheimer’s and certain cancers. Anyone tracking the field of AI-empowered diagnostics would do well to keep a close eye on innovation in this space.  The 2024 Chemistry Nobel Prize was awarded to John Jumper, PhD, and Demis Hassabis, PhD, at Google DeepMind in London for developing this game-changing AI tool for predicting protein structures.  The Galien Foundation Prix Galien is often called the Nobel Prize of the Life Science industry.  Viz.ai, a pioneer in AI-powered disease detection and intelligent care coordination, received the 2024 Prix Galien USA Award for its Viz HCM™ (Hypertrophic Cardiomyopathy) module.  Keep an eye on these companies and their advances.

Rob Havasy, HIMSS Senior Director of Informatics Strategy, representing one of the most influence professional communities – the leaders from health institutions and governments worldwide – offered this exclusive comment to Medika Life:

“AI has been part of many radiology workflows for years, but data from our HIMSS Market Insights surveys show one of the fastest growing applications right now is ambient AI and other AI tools to relieve some of clinicians’ documentation burden. These tools either help clinicians capture information from a visit or streamline patient-provider communications by creating discharge instructions or helping to manage overflowing inboxes.”

3. Accelerating Drug Discovery and Clinical Trials

AI is catalyzing innovation in drug development, a process that traditionally spans over a decade. Platforms like Hong Kong-headquartered Insilico Medicine and companies like Exscientia are applying machine learning to design drug molecules faster than ever. Meanwhile, decentralized trials are becoming more accessible through collaborative pathways set by organizations such as the Decentralized Trials & Research Alliance (DTRA), a central gathering point for regulators and industry leaders to shift the conversation from theoretical to operational regarding implementation.

Dr. Amir Kalali and Craig Lipset, pioneers in clinical trial innovation, champion this collaborative model that draws in biopharma-sector leaders, CROs, and FDA and EMA regulators. The DTRA Co-Chairs have long advocated that decentralized clinical trials (DCTs) supported by AI tools broaden access and reduce biases. These collaborations demonstrate how AI unlocks new efficiencies and enables more inclusive participation, particularly among underrepresented populations.

4. Predictive Analytics for Patient Safety

Predictive analytics powered by AI is transforming patient safety in hospitals. For example, Qventus predicts and mitigates perioperative complications. At the same time, companies like Stasis Labs, Current Health, and Vytrac provide real-time in-patient and at-home monitoring, sending vital sign data to nurses and doctors so they know their patient status and triage care.  Amy Abernathy, MD, PhD, has served in several high-profile roles that cut across the health ecosystem, from Principal Deputy Commissioner at the Food and Drug Administration (FDA) and is now Co-Founder of Highlander Health, a bold new organization advancing clinical research and patient care through learning labs, investments, and philanthropy, comments: “AI is transforming how we approach patient safety by intervening in a proactive measure rather than a reactive one.”

5. Addressing Mental Health Needs with AI

Mental health care is becoming more accessible with AI-driven platforms such as Woebot Health and Wysa. These companies are using AI to provide scalable, CBT-based support for conditions like anxiety and depression, often meeting the needs of underserved populations without ready access to mental health services. Another approach led by GrayMatters Health enables mental health professionals to address PTSD through neuromodulation – an FDA-approved for-use approach designed through years of data aggregation.  Noted digital health pioneer, inventor, and  Founder and Curator for NextMed Health, Daniel Kraft, MD, notes: “AI-powered mental health tools are filling the gaps in traditional care delivery, providing immediate, accessible, and empathetic support when people need it most.”

6. Driving Precision Medicine

Precision medicine, enabled by AI, is bringing targeted therapies into sharper focus. Collaborating with Roche, Foundation Medicine uses genomic profiling to guide cancer treatments. Similarly, Tempus leverages AI to connect molecular and clinical data, accelerating therapeutic breakthroughs. The combination of high tech with high science has enabled scientists with support from private equity and academic institutions worldwide to create companies at the vanguard of the discipline in the UK Golden Triangle, Southeast Asia, and the Cambridge/Boston innovation hub. LABIOTECH author Willow Shah-Neville wrote a concise report of 12 biotech unicorns rated in order of their valuations according to CB Insights. It is worth examining how these fast-moving innovators apply information technology to augment their scientific implementation.

7. Streamlining Hospital Operations

AI tools enhance hospital operations, optimize workflows, and improve patient outcomes. For instance, GE Healthcare Command Centers use predictive analytics to manage patient flow. Other companies, such as LeanTaaS, with its iQueue platform, improve operating room and infusion suite scheduling. Hyro is a much-watched hospital workflow optimizer with services that cut across administrative and clinical departments and add AI to Epic workflows, improving access to care. Edward Marx, a global healthcare consultant and former Cleveland Clinic CIO, emphasizes: “Operational AI is reshaping how hospitals function, eliminating inefficiencies and ensuring resources are used where they’re needed most.”

“Top Trends in Healthcare and Life Sciences” Microsoft video episode titled “The power of information to improve healthcare,” Gil Bashe, Chair of Global Health and Purpose at FINN Partners and Medika Life Editor-in-Chief, joins Tom Lawry, formerly National Director for Artificial Intelligence Health and Life Sciences at Microsoft and now Founder of the AI consultancy Second Century, talk about the opportunities and obstacles in health, AI, and the power of information.

8. Promoting Health Equity Through AI

Medtronic AI-enabled remote monitoring devices are helping bridge the care gap in underserved areas. Similarly, PathAI, in collaboration with Quest Diagnostics, is leveraging “machine learning to improve diagnostics in resource-limited settings, ensuring equitable access to healthcare.  Michelle Longmire, MD, a Stanford-trained dermatologist and founder and CEO of Medable, which offers the research-based biopharma industry an array of research tools with a unified platform, adds: “AI’s potential lies in its scalability, which can extend high-quality care to populations previously overlooked by traditional systems.”

9. Harnessing AI for Population Health

AI is transforming public health by integrating social determinants of health into predictive models. Companies like Epic Health Research Network and Innovaccer are helping health systems anticipate and address population health challenges more effectively. Michael Rosenblatt, MD, with his storied career as a scientist and teacher, having served as Chief Medical Officer at Merck and Flagship Pioneering and now as Co-Chair of the Galien Foundation, notes: “AI-driven insights empower health systems to deploy resources strategically, reducing disparities and improving outcomes across entire communities.”

10. Empowering Patients with Wearables and Digital Health Platforms

Wearables like the Apple Watch have popularized health tracking. Still, more specialized solutions, such as AliveCor and Biobeat are examples of advanced monitors delivering medical-grade heart data enabling patients to access, manage, and share their data and connect with their physicians. Additionally, platforms like the Belong.Life Dave AI focuses on cancer care by guiding patients with tailored recommendations, educational content, and peer support.  David E. Albert, MD, Oklahoma native, physician, inventor, and serial entrepreneur, is the founder of AliveCor and a long-time AI champion, says, “AI will play a role in reducing data into manageable and actionable information for clinical decision-making.”

Looking Forward: A Future Shaped by Collaboration

AI progress in health settings during the past five years illustrates what’s possible when technology meets the demands of patient care, equity, and innovation.  

Is “AI” still threatening and misunderstood?  Absolutely! The term “artificial intelligence” is a threatening misrepresentation of the idea that people will become secondary to machines processing vast amounts of data (largely) accurately and in a blink. However, technology is continuously called upon to automate repetitive tasks.  It does not alone transform people’s health or the fractured health ecosystem – instead, it’s the human desire to question, collaborate, and generate shared – augmented – wisdom that is core to implementation.  

“Driving measurable value at scale with AI is less about the right technology and more about the right leadership. Is there a sufficient level of AI understanding at all levels of the organization?  Is your culture change-ready or change-resistant,” reflects Tom Lawry, principal of Second Century.  Is AI part of your HR plan? In the end, AI success cannot be delegated. Leadership is the catalyst for unlocking its true potential. This requires vision, strategic alignment, and a commitment to empowering teams to innovate and execute with purpose.”

As more people dip their toes into the tech waters, comfort levels are increasing rapidly. Remember the 15-year time gap between Apple’s failed Newton and the early iPhones? Once the idea of a smartphone caught on, it became a personal must. According to a Pew Research Center Survey conducted May 19 to Sept. 5, 2023, 90% of US adults say they have a smartphone. Soon, AI will be ubiquitous in most health settings.

Say so long to artificial intelligence. Welcome to the age of Augmented Implementation!

The next five years promise even more significant advances, , a thirst to use information to accelerate decision-making, fueled by curiosity and collaborations across sectors and the drive to improve lives globally.

The post AI is Transforming Health Delivery: A Five-Year Reflection 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.

In the first three days of this Los Angeles gathering, I’ve had the chance to pop in on countless sessions, swing by exhibits that occupy large and small footprints and chat with C-Suite voices from some of the nation’s most prominent health players and most promising start-ups.  But as Sheba Medical Center’s Chief Innovation Officer, Eyal Zimlichman, MD, MSc, thoughtfully reminded a filled-to-capacity room during one session: “Sometimes the challenge is not the technology or innovative approach.  It can be in the implementation.”

Several companies caught my attention during three days at ViVE.  Unexpectedly, the most impressive are enterprises that aren’t swinging for the bleachers of change but those who make incremental improvements in the health ecosystem, leading to better patient care and putting a lid on spiraling costs. More and more, there is a need for meaningful changes now.  What happens tomorrow is theoretical. Keeping the health system chugging ahead translates into keeping doors open to patients who might not have access to care.

What should readers do with this information?  Follow these companies.  Listen to what their senior executives say about how their approaches impact the health industry. Use their information to benchmark the “right now” that lays the groundwork for successful technologies that too often capture the buzz and have yet to show. As the adage goes, the “proof is in the pudding.”  These are companies that have a presence within the sector and demonstrate momentum.

Companies at the Forefront of Health Information and Innovation

Several companies invited Medika to swing by their exhibits or attend panel sessions.  These companies are working hard to help health systems improve workflow – recognizing that repetitive tasks can and should be automated. Highways have moved from coin-taking toll attendants to EzPass transponders. The benefits are clear – reduced traffic and smog. Give thought to eliminating hospital bureaucracy that burdens providers and consumers. 

The companies on the ViVE exhibit floor acknowledge that physician time – a precious resource – can be better used in patient care.  Others realize that the changes in technology and information systems are happening so fast that hospital systems must embed outsourced staff to keep current with transitions.  Innovation is only meaningful if used – otherwise, it’s merely conversational and conceptual.

ViVE is doing something needed and practical. It’s bringing together prominent players in health, companies that can make information valuable, and start-ups looking not to disrupt but positively evolve time-test but worn approaches. Here are some companies that caught my eye:

• The consumer appliance giant Best Buy presence at a health industry conference may seem out of place. They don’t have in-store clinics – they have gadgets and wearables. They have a Geek Squad ready to set up your home entertainment studio.  But they’re the perfect partner for hospital systems looking to discharge patients to heal at home and remain connected to their providers.  They are experts in helping seniors overcome the challenges of setting up and using remote monitoring technologies that incorporate blood pressure monitoring or ECGs.  They are pros in addressing tech questions virtually.  If aging and home care are to become a standard of care, Best Buy is ahead of the curve in helping health systems make it a possible leap.

• Technology should reduce workflow – not add to the headaches chief technology and information officers manage. Health systems must streamline repetitive operations and care processes. CereCore is a leading provider of IT services that help hospitals and health systems chart a course through the operational IT labyrinth. The company works with hospital systems to prioritize patient care and information streamline processes. Its “get it done approach” includes IT staffing, application support, technical professional and managed services, IT advisory services, and EHR consulting.  With more than 700 employees across the US, its workforce includes clinical and technical experts supporting 450 hospitals and implementing IT solutions across 4,000 care settings.

• Corti is a startup specializing in AI-enabled decision support tools for clinic and first responder environments. Corti develops solutions to improve efficiency and experience by analyzing emergency conversations using ambient clinical voice and real-time clinical discussions. Like large language models (LLMs), Corti trains on thousands of actual patient calls and clinical consultations, listens alongside professionals, and converts this learning into insights and suggestions using proprietary speech recognition and natural-language processing. Published data show that AI outperforms human call-takers in sensitivity and predictive accuracy. This advancement augments call-takers ability to triage and ensures faster and more precise emergency response.

• DigiCARE is an early company addressing a long-targeted goal of improving brain disease care.  Based on Indiana University research, a machine-learning algorithm powers its promising AI platform with an 80% performance accuracy and a one-year prediction horizon to detect all forms of unrecognized dementia. The platform mines already-collected data from electronic patient health records and sorts through structured and unstructured data, including patient demographics, diagnosis, medication history, and vast medical notes. The company is already working with health systems to deliver routine brain care for a growing aging population. Early detection of diseases such as Alzheimer’s treatments will accelerate new approaches to drug discovery and development.

• e4health fills expertise gaps in IT, HIM, coding, and CDI. When provider organizations face management issues and bandwidth concerns, the company provides expert resources to complete projects and achieve departmental goals on time and within budget. From legacy data conversion for new EHR implementations to staffing vacancies, e4Health delivers the highest levels of healthcare expertise alongside a relentless commitment to integrity and data accuracy. Their teams ensure consistent quality, accuracy, and productivity for the customers served.

• Like the “smart home,” eVideon is championing hospital smart room technology and digital workflow. The company’s flagship product, Vibe Health, automates clinical workflow, facilitates enhanced communication, and transforms care environments into personalized and interactive spaces. The solutions include an in-room Smart TV, digital whiteboard, digital door sign, and bedside tablet, redefining traditional care settings. These technologies integrate with the hospital’s Electronic Medical Records (EMR) system and other technologies, making real-time information accessible to patients, families, and the care team. Medika Life readers can access their Smart Room Technology Playbook— to understand how technology saves nurses time and improves the care experience.
• HCTec provides IT services to over 1,500 academic medical centers, health systems, community hospitals, critical access hospitals, and other healthcare provider organizations nationwide. HCTec teams offer health information technology expertise across clinical and business applications, data, security, and other technical services. With some 500 team members and decades of combined health experience, HCTec is highly KLAS-rated, providing healthcare IT staffing, managed services solutions, and EHR services.

America has a significant obesity challenge – a public health epidemic that is a tipping point to heart disease, diabetes and stroke. New medications called GLP-1 are a new class of medications and a partial solution – they address weight-key symptoms of the problem. They do not address the underlying diseases or modify the patient’s mindset long-term. Some other pathway is needed! Enter Intellihealth, a startup software solution that effectively scales obesity management and tackles weight management, risk management, comorbidities, diabetes, cancer, and heart and respiratory disease impact. The American Medical Association classifies obesity as a disease, but the US health system is no match for its prevalence.

• The “value-based care” buzzword continues to enter the health economics conversation.  Interwell Health, a kidney care management company, has impressive roots – formed from the merger of the value-based care division of Fresenius Medical Care North America with Cricket Health – and may be among the better examples demonstrating how information can guide physicians and staff to prioritize care decisions for people with chronic kidney disease care to end-stage kidney disease.  So far, the company has proven its ability to improve outcomes and deliver better quality of life for people while reducing the cost of care for payer partners and providing the resources physicians need to navigate a value-based world – all at scale.

• We need more information. TED Founder Richard “Saul” Wurman describes data dilemma perfectly in his bestselling book titled “Information Anxiety.”  The US healthcare system places tremendous weight on the shoulders of health providers to obtain, manage, and share clinical data. If health professionals need a remedy for their anxiety, MRO understands data exchange challenges between providers and payers.  MRO has been a key clinical data exchange player for some 20 years, modernizing health information analog and manual processes. The company is lightening the load for customers, and the proof is that it connects more than 200 EHRs, 200,000 providers, 35,000 practices, and 900 hospitals, drawing data from more than 1.3 billion clinical records.

NourishedRx is a purpose-centered digital health and nutrition company that has become a public health voice working to improve outcomes, lower medical costs and advance health-equity goals. Diet-related chronic conditions account for almost 20% of all US health care costs—particularly for people facing food insecurity and diet-related health conditions that can be tracked through blood pressure and HbA1c, NICU admissions and LBW births, pre-term births, depression, and more. Mission-centered NourishedRx is not a food bank! Its highly personalized model structures service through the lens of “food as medicine.” Its operating system is also a call to action—health and health equity—one meal, one individual, and one community at a time. Its customers are surprising—savvy payers who recognize that without access to healthy nutrition, vulnerable people at risk for non-communicable diseases are almost certain to tip into the abyss of illness.

Lauren Driscoll is the founder and CEO of NourishedRx and a Medicare Advantage expert. She founded NourishedRx in 2019 to support health plans’ efforts to address their members’ most actionable and critical non-clinical needs — nutrition and social isolation. Information can be linked to life-saving interventions. NourishedRx demonstrates that possibility.

There’s no clear consensus on whether ADHD is over- or under-diagnosed. However, it is universally understood that timely and accurate assessment can prevent emotional and academic struggles among children and teens.  Getting it right is hindered by a lack of standardized diagnostic tests. Qbtech is transforming objective ADHD care through a technology-first approach that augments professional care. Like many ViVE attendees in the busy hallways and crowded exhibit halls, Qbtech takes a practical solutions approach to health-sector challenges.  Its Food and Drug Administration cleared for marketing computer-based tasks monitoring system brings new perspectives to evaluation and treatment, and decision-makers welcome the 15-20 approach to initial assessment.  The system has been adopted across 43 US states and by organizations such as the NHS in the United Kingdom. Outcomes data appears in over 35 independent studies.

• Sendero is a management consulting firm that guides strategic planning, digital transformation, and organizational effectiveness. Sendero healthcare practice was developed to help clients navigate the industry’s complex and frequently changing operations, experience, and technology enablement challenges. The consulting group brings objective thought combined with years of experience to clients from project ideation through implementation so that health systems can maintain their focus on essential high standards and adapt to deliver solid patient experience, support employees, and engage in evolving waves of innovation. Objectivity and knowledge are precious resources.

• Prof. Eyal Zimlichman, the Chief Transformation Officer and Chief Innovation Officer at Sheba Medical Center, was on hand during VIVE.  Sheba is Israel’s largest medical center and a top-ranked Newsweek hospital. Dr. Zimlichman is the founder and director of the Sheba ARC (Accelerate, Redesign, Collaborate) Innovation Hub. This global innovation ecosystem aims to redesign the health system through digital health innovation. Here, Sheba was wearing a different health system hat. ARC is creating innovation communities worldwide and in locations where, beyond transformation, innovation can address social determinants of health, such as economics, education, and life experience. 

Sheba is also a “paperless-wide” health system: no faxes or massive file systems.  The health system can impact more than physical health. They can inspire young people to pursue careers in technology and reduce the carbon impact of hospitals to improve the environment.

• Tegria is a global healthcare consulting and services company partnering with provider and payer organizations to unleash their potential to contribute to a healthier future collaboratively. Like others, it delivers end-to-end solutions to help clients avoid economic strife that is too common among health systems and secure growth. But here, they are not wishes or empty words.  Tegria has over 1,500 professionals with technology expertise working alongside 500 clients in North America and Europe.

“When we invest in technology, we invest in partnerships and define our priorities,” said Ray Gensigner, MD, Tegria chief medical officer, responding to Medika Life. “Technologies must demonstrate a clear potential to benefit patients and healthcare providers simultaneously. To be on my investment radar, technologies should have credible validation and promise to make a tangible difference,” he added.

• The financial reports of the hospital system reflect the growing number of struggling care systems. Information is the lifeblood of patient care – but it’s also the navigational tool for hospital executives to build sustainable systems. ViVe was the setting for breaking news.  TruBridge is a new player on the scene with a heritage that spans four decades.  Numerous companies joining legacy company CPSI as acquisitions have united under this new brand identity.

While the name is new, the company continues to offer highly regarded revenue cycle management (RCM) solutions that enhance productivity and integrate financial operations across acute to post-acute and ambulatory settings. But rallying all its companies under one corporate identity clarifies for customers how TruBridge services, products and talent weave together and project the scale and strength of a mega sector player.

• On the go? 98point6 Technologies. has refocused its talent and time, making its AI-powered technology and software available to providers to expand access to care and improve patient engagement since the sale of its Care Delivery Division a year ago to Transcarent. In many ways, this renewed business focus secures 98point6 place as one of the nation’s leading virtual care platforms for patients and their physicians to connect when on the move. Its flagship 98point6 Technology Platform provides cloud-based software combining augmented intelligence with automated practice standards and EHR integration.  

At a time when primary care services are needed more than ever to stem the tide of non-communicable illnesses, 98point6 Technologies are a needed bridge between brick-and-mortar physicians’ services and consumers who now think hybrid and expect the world to respond to their flexible needs.

• Viz.ai harnesses the power of artificial intelligence (AI) to improve patient outcomes. Its FDA-cleared algorithms analyze medical imaging data, including CT scans, EKGs, and echocardiograms, and have the potential to provide real-time insights that accelerate diagnosis and treatment. The Viz Platform autodetects possible disease presence across therapeutic areas, including neurovascular, cardiovascular, trauma care, and radiology. Diagnosis sits at the heart of treatment – do that faster and more accurately, and physicians can do their best work with greater confidence and less stress.  This is not a “success is just around the corner technology.”  Already, Viz.ai has been adopted by more than 1,500 US hospitals – perhaps on its way to becoming a sector standard.

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The concept of the future is always inviting and exciting. Futurists are rarely wrong.  It isn’t easy to judge what remains intangible. The difference between invention and innovation is scaled customer application.  AI, ChatGPT, and GenAI applied play to the strengths of the curious and bold. Using these technologies democratizes information for humanity’s benefit. The tools can improve care, increase workflow efficiency, and lower spiraling health costs.  This is all happening right now. 

The companies included in this ViVE summary are helping the health system and their customers deliver transformational health technology today. That may seem less “edgy” than tomorrow’s shiny object, but all ideas are judged by their impact and sales. Follow these companies who are paving the way for improved care delivery.

The post Is Innovation an Overused Idea? ViVE is Home to Real-World Health-System Evolution! appeared first on Medika Life.

“Culture crushes innovation.”  Here, we must not point the finger of blame for the dysfunctional health ecosystem at physicians, nurses and allied health professionals on the hospital floor.  Healers want to heal as much as those who need their help seek answers and solutions. The shared problem is not how to utilize this “hot” evolving technology but are we prepared to make the investment in time and training!  Time to input (usable) data into EMRs and learning technologies that can sort and “scrape” through and highlight information to accelerate clinical decision-making. 

Using AI to Reject Patient Claims and Care

One part of the challenge is understanding how to cognitively maximize and explore vast amounts of information is another. The other is to come to agreement in how AI can and cannot be used ethically and responsibility. As we saw recently, a nascent AI system must not be used by major health insurance companies to deny patients coverage for medicines and procedures.

While the “system” is resistant to significant change and science has become politicized and misunderstood, we must rally to the dual-goal of saving lives and reducing costs.  Can information technologies and “intelligent health systems” do what people in power have not achieved?  Are we able to educate consumers about being partners in data security? Can information bring people – professionals and consumers – together and transform this country’s post-WWII build health system? Yes!

Cardiologist Eric Topol, MD, reflects on the tension between patient care and AI in a Time Magazine interview about his bestselling book Deep Medicine:

“AI will always need human backup. A machine could handle certain things autonomously–diagnosing a skin rash, for example. Doctors shouldn’t be dealing with things that machines will do better than them. But serious conditions, like getting a cancer diagnosis, are what doctors should be working on. I think once patients understand that there are things they don’t need doctors to do, they would love it–once they get used to it.”

Many health professionals (and patients) are understandably wary! In one Medscape interview a physician shared this experience:

“We’ve played around with it. It was very early on in AI and we noticed it gave us incorrect information with regards to clinical guidance,” said Monalisa Tailor, MD, an internal medicine physician at Norton Health Care in Louisville, Kentucky. “We decided not to pursue it further,” she said.

Don’t close the door on an evolving technology! Care professionals work within a system that hinges on economics – how the institution is paid and how it must cover costs.  What is to be done if the system cannot support the health professional’s efforts or make the best use of their training, abilities, energy and dedication?  What will happen as more and more health professionals ghost the provider system that they feel no longer addresses their emotional and economic needs? These are questions that must be addressed sooner than we think! AI is inescapable. It’s an evolutionary process that will improve – improve health professionals and care output – over time.

Perhaps the biggest question is whether we can wait to resolve all these questions while health costs soar and people risk dying from treatable illnesses.  We should already know that answer! If you’re living in the question, that’s great. One way to resolve your angst and uncertainty is to follow people – some pioneers and others pundits – who are also asking those questions, doing the necessary research and exploring sensible possibilities.

20 AI/ChatGPT Champions to Follow

It was a challenge to select only 20 influentials for this listing. There countless people writing, speaking and commenting about AI and ChatGPT. It’s a hot topic and “trendy.” This list is not about “trends” and it isn’t an exclusive roster of people. However, these people are key voices of influence at the frontlines of AI and ChatGPT and are boldly considering how the health sector will need to support and adapt to these technologies ethically. It is important to follow their social posts, speeches and writings. They are theorists, physicians and teachers. What they say and where they say it can inform your opinion and direction. Follow them and get smarter faster!

Acknowledgements

As always, thanks to my friend and Medika Life Founding Editor-in-Chief Dr. Robert Turner, and Cullen Burnell for their encouragement and suggestions, and to Carolyn Neugarten, Medika Life Editorial Assistant for her efforts in making this feature possible, and Tyler Mayers, whose expertise sharing content across social platforms makes important information widely accessible. Special appreciation to colleagues from numerous professional circles who shared their thoughts and contributed recommendations. Special acknowledgement to people who appeared on previous Medika Life Lists and continue on the path to improve the wellbeing of people and planet. These exemplary people are dedicated to improving people’s health and know their efforts will make a difference.

AI and ChatGPT are frightening to some and mysteries to others. Humanity must decide how to best deploy these evolving and “thinking” technologies. What to do next is a mindful choice in the hands of people, and must be for the sake of people.

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 wherever available links to the social media platforms and bios.

Follow these Voices and Leaders of Influence – They are writing the future of how AI and ChatGPT will be essential to health care delivery.

Ran D. Balicer, MD

Dr. Ran D. Balicer, a public health physician, executive and researcher, serves as Chief Innovation Officer & Deputy-DG at Clalit – Israel’s largest health insurance organization, and is Founding Director of the Clalit Research Institute.

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Regina Barzilay, MD

Dr. Regina Barzilay is a School of Engineering Distinguished Professor for AI and Health in the Department of Electrical Engineering and Computer Science, and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT).

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Kirk Borne, PhD

Dr. Kirk Borne is a Data Scientist, providing thought leadership, global speaking, content creation, mentoring, training, and consulting activities in data science, machine learning, and AI across multiple disciplines.

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Atul Butte, MD, PhD

Atul Butte, MD, PhD is the Priscilla Chan and Mark Zuckerberg Distinguished Professor and inaugural Director of the Bakar Computational Health Sciences Institute (bchsi.ucsf.edu) at the University of California, San Francisco (UCSF). 

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Lex Fridman, PhD

Lex Fridman, PhD, is a Russian-American computer scientist, podcaster, and artificial intelligence researcher. He is a research scientist at the Massachusetts Institute of Technology (MIT), and hosts the popular Lex Fridman Podcast, a 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 author of the bestselling business books Solve for Happy and Scary Smart – The Future of Artificial Intelligence and How You Can Save Our World.

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John Halamka, MD, MS

John D. Halamka, M.D., M.S., president of the Mayo Clinic Platform, was trained in emergency medicine and medical informatics, Dr. Halamka has been developing and implementing healthcare information strategy and policy for more than 25 years.

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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.

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Daniel Kraft, MD

Daniel Kraft, MD, is a Stanford and Harvard-trained physician-scientist, inventor, entrepreneur, and innovator and is serving as the Chair of the XPRIZE Pandemic & Health Alliance. With more than 25 years of experience in clinical practice, biomedical research and health innovation.

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Tom Lawry

A leading AI transformation advisor to health and medical leaders around the world. Lawry is the best-selling author of Hacking Healthcare – How AI and the Intelligent Health Revolution Will Reboot an Ailing System, former Microsoft National Director of AI and now the managing director of Second Century Tech LLC, and partner in Aspire Health Innovations.

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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 served as the Director of Stanford’s AI Lab from 2013 to 2018.

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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 analyzing how science fiction technologies can become a reality in medicine and healthcare. He holds a PhD in genomics and is an Amazon Top 100 author. 

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Mira Murati

Mira Murati is the Chief Technology Officer at OpenAI, and one of the most influential innovators in technology and AI. She oversees efforts to commercialize OpenAI products and improve them through human feedback. She serves on the leadership teams that developed the OpenAI ChatGPT and Dall-E systems.

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Andrew Ng, PhD

Dr. Andrew Ng is a globally recognized leader in AI. He is Founder of DeepLearning.AI, Founder & CEO of Landing AI, General Partner at AI Fund, 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 in the world of technology, science, medicine and innovation. He is a globally recognized among the foremost voices constantly pushing the envelope on how AI and ChatGPT will transform health settings and work flow. Nosta is non-stop power thinker (and contrarian) and has more than 500 articles published on innovation topics.

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Tam C. Nguyen

Associate Professor Tam Nguyen has more than 20 years of working in clinical trials, health and medical research and research management sector including tertiary teaching hospitals, medical research institutes and universities across Australia. He is the co-editor of the recent book: AI 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. He is a physician and researcher who works at the intersection of machine learning and health.

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Brian Roemmele

Brian Roemmele is a 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.

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Mihaela van der Schaar, MD

Mihaela van der Schaar, MD, is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and a Fellow at The Alan Turing Institute in London. In addition to leading the van der Schaar Lab, Mihaela is founder and director of the Cambridge Centre for AI in Medicine (CCAIM).

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 Eric Topol, MD

Eric Topol, MD, is the founder and director of the Scripps Research Translational Institute; Executive Vice President, Scripps Research; Professor, Molecular Medicine, Scripps Research; and the Gary and Mary West Endowed Chair of Innovative Medicine, Scripps Research. In many ways, Dr. Topol was he kindled that started the AI transformation with his more than 1,300 publications and bestselling books.

Dr, Topol appears last – alphabetically – on this Top 20 Voices in AI and ChatGPT to follow. His ideas and prodding the system, perhaps place him first!

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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 or a name is misspelled or a link broken. 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 Medika’s Top 20 AI Voices to Watch. Follow These Experts as They Demystify AI and Its Future appeared first on Medika Life.

Can ChatGPT and OpenAI compete with human creativity? Its ability to process is rooted in machine learning — the ability to scour in a blink a wealth of databases, and pirated content, and mimic the human experience. Can a computerized clone of humanity’s documented contributions be as vibrant and present as a human? Right now, my experience as a user is absolutely not! Technology cannot differentiate between information and its dark side, misinformation. It lacks head, heart and gut at this time. That will change in time.

Poets and creative writers and strategists and scientists fear not. Curious, creative and inquisitive minds will master this technology rather than let the technology sideline humanity. While the typewriter was always nearby, Nobel Prize author Ernst Hemingway wrote — and rewrote — many of his famed novels by hand. Yet, he didn’t shun the technology of his day. He found that typing what he had written by hand allowed him to improve it.

Bicycles and Horseless Carriages

Yes, bicycles and horseless carriages led to the horse and buggy’s retirement. That’s one machine’s efficiency versus the machine’s efficacy. But the person or health system that embeds AI into its patient care model will outrun those that shut their doors to keep it out.

Likely the inquisitive radiologist who adds AI into the mix will arrive at a diagnosis faster and with greater accuracy. They won’t abandon human judgment; they will use technology to go beyond the general report rising to higher and higher levels of diagnostic guidance.

Beyond enhanced predictive ability, AI will elevate gifted and early adapter medical practitioners to a heightened level of performance. While leading doctors may not always have the greatest bedside manners, they demonstrate consistently heightened clinical ability. AI must never be a medical replacement for learned minds and human connections — it augments their well-honed clinical skills.

“I Don’t Have Time to Read EMRs”

During the last 12 days of my noted physician father-in-law’s life, a nurse at a leading hospital replied to my questions about his care with a worrying admission: “I don’t have time to read patient records.” That admission is symptomatic of systemic failures. EMRs are not standardized; patient data cannot easily be shared between providers or accessed by patients visiting multiple hospitals. This leads to duplicative tests and procedures and can lead to medical errors and misdiagnoses, sometimes with catastrophic consequences. And it also leads to health professional burnout!

In FRAGMENTED: A Doctor’s Quest to Piece Together American Health Care physician-author Ilana Yurkiewicz, MD, outlines how cracks in the healthcare system cost us time, energy, and lives. With a combination of real-world experiences, she strikes at the heart of the assumption when you see a doctor: the doctor knows your medical story and makes decisions based on that story. Wrong.

We are our medical historians. When we switch doctors, we begin again to create our medical history. Critical details of life-saving treatment plans need to be made aware of muddled electronic charts. The doctors we see change according to specialty, hospital shifts, or an insurer’s whims.

Tom Lawry, the bestselling author of Hacking Healthcare, the former national director of AI for Microsoft, and now a global advisor on how AI impacts health systems, comments on a UPenn Health study using AI analyzed all inpatient and outpatient notes written in the EMR from 2015 to 2020. Analyzing more than 1.96 million unique patient entries, 50.1% of input was duplicated from prior notes about the same patient — no wonder the nurse didn’t have time to read my father-in-law’s EMR report. It’s not surprising that Lawry believes “AI and the intelligence revolution will reboot an ailing system.”

We Have Nothing to Fear But Misaligned IQ and EQ

Most worries about AI are rooted in our imagination — not our experiences. Advances in artificial/augmented intelligence (AI) have the potential to advance patient care and improve healthcare outcomes. ChatGPT, as an AI-powered conversational agent, offers numerous advantages in delivering care. It thrives on heightened creativity and cognitive effort. It needs humanity to be additive.

Here is my Top Seven List of expected advantages AI and ChatGPT will deliver to patient care:

1. Enhanced Patient Engagement and Education: AI-powered conversational agents like Chatbot can engage patients in conversations, collecting and synthesizing information about their condition, treatment options, and self-care practice. This interactive engagement can empower patients to take an active role in their health — most notably by speaking openly about their needs leading to better adherence to treatment plans and improved health outcomes.

2. 24/7 Access to Healthcare: ChatGPT offers round-the-clock accessibility, allowing patients to seek healthcare advice anytime. This feature is particularly beneficial for patients in rural areas, those with limited mobility, or those needing immediate medical assistance — a medical AI researcher. AI-connected systems can quickly analyze, triage, and move patients into the care system.

3. Predictive Analytics for Disease Detection: AI algorithms can analyze patient data, including medical records, sensor data from wearables, and lifestyle factors, to identify patterns and risk factors associated with various diseases. Leveraging predictive analytics, AI can detect early warning signs and predict the likelihood of disease (re)occurrence. This enables health providers to intervene, implement preventive measures, and initiate early treatment, improving patient outcomes and reducing healthcare costs.

4. Efficient Triage and Decision Support: ChatGPT can assist in the triage process by asking questions and gathering patient information, helping to identify urgent cases, and redirecting them to the right health professionals. AI algorithms can analyze patient data and provide decision support to healthcare providers, aiding in accurate diagnoses and treatment recommendations. Ideally, the technology can do a better job helping medical staff to look at the “whole patient” and connect the dots — essential for “Zebra-like patients.”

5. Personalized Care and Remote Monitoring: AI algorithms can analyze patient data, including medical records, lab results, and wearable device data, to generate personalized insights. ChatGPT can use the information to provide tailored recommendations for lifestyle modifications, medication adherence, and disease management. Additionally, AI-powered monitoring systems can track patient vitals remotely and alert healthcare providers in case of abnormal readings as we shift more and more to home recovery and care.

6. Medical Imaging Analysis: AI algorithms can analyze medical images, such as X-rays, MRIs, and CT scans, to aid radiologists and clinical experts in the detection and diagnosis of conditions. These algorithms can identify abnormalities and predict disease progression. AI-based image analysis amplifies the professional’s efficiency, reducing human error, and speeding up the diagnosis process. The net result will be better patient outcomes.

7. Data-driven Health Research: AI algorithms can analyze vast amounts of patient data to identify patterns, detect trends, and generate insights that inform healthcare research and policy-making. This was key to addressing COVID-19 and accelerating vaccine-like treatments to mitigate illness. By leveraging AI and ChatGPT, researchers gain deeper insight into disease progression, treatment effectiveness, and population health trends. These insights can drive evidence-based decision-making and contribute to advancing medical knowledge. This will be critical to rallying to resolve the next pandemic.

Is it Really Human Versus Machine?

AI and ChatGPT almost guarantee several potential advantages in patient care. It’s not a perfect system nor a replacement for people. John Nosta, a global innovation theorist in speaking with Artur Olesch, founder and editor-in-chief of aboutDigitalHealth.com, said:

“While AI has shown promise in areas such as image recognition, natural language processing, and autonomous systems, there are still areas where AI struggles, such as understanding context, making subjective judgments, and dealing with incomplete or noisy data. Additionally, there are ethical considerations around the use of AI, including issues related to privacy, bias, and fairness.”

I still prefer to rely on Microsoft Spell Check than memorizing Webster’s Dictionary. I also prefer a physician who deploys human skill, amplified knowledge and the might of another 10,000 physicians’ aggregated experience to analyze and treat serious disease. In an AI-influenced world, we will still need to secure patent protection and copywrite guarantees for unique intellectual property and creative effort. But closing the door on this technology is to condemn too many people to an ill-fated end.

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