In this episode, Dr. Richard Zane, Chief Medical Officer and Chief Innovation Officer at UCHealth, discusses how AI and emerging technologies can improve clinical decision-making, expand access to care, and enable scalable healthcare innovation.

Dr. Zane emphasizes that successful innovation begins with problems identified by frontline teams, not technology looking for applications. He explains how AI’s strengths in pattern recognition and complex data analysis can support better decisions, while human judgment remains essential in clinical care. He shares an approach to partnering with technology companies, co-developing solutions, and designing for scale. He also discusses how technology can bring complex care closer to rural communities, supported by appropriate clinical safeguards.

Dr. Zane advocates replacing traditional pilots with phased deployments, rapid iteration, and continuous improvement. His message to healthcare leaders is to prioritize patient needs, fear inaction rather than failure, and focus on technology that delivers meaningful value. Take a listen.

In this episode, Hal Wolf, President and CEO of HIMSS, discusses how AI is changing healthcare’s approach to digital maturity, workforce transformation, and care delivery. He examines the persistent digital divide and explains that while emerging technologies initially favor organizations with greater resources, standardization and competition can eventually make them more accessible to underserved health systems. Hal also argues that digital maturity can no longer be measured by technology adoption alone. Health systems need the right people, processes, governance, and measurable improvements in access and quality.

Hal sees AI and continuous data from emerging technologies such as wearables changing the scope of practice, enabling clinicians to focus their expertise where it matters most while AI supports monitoring, prediction, and decision-making. He also highlights the need to move beyond broad experimentation toward deeper AI integration, supported by strong governance and clearly defined use cases.

Hal believes AI can help address workforce shortages and augment clinical decision-making, but human expertise remains essential. The opportunity ahead is to thoughtfully integrate AI into healthcare, continuously measure its impact, and ensure technology ultimately improves care. Take a listen.

This episode is brought to you by the HIMSS AI in Healthcare Forum, happening in San Diego.

In this episode, Jean-Claude Saghbini, Chief Technology Officer and President of Technology Services at Lumeris, explores how agentic AI can help address healthcare’s primary care access challenge. He argues that incremental efficiencies are not enough; AI must enable the existing clinical workforce to serve more patients and extend care between visits.

Jean-Claude discusses Tom, Lumeris’ AI-powered primary care team member and operating system, which uses patient data to identify next actions and proactively engage patients. He emphasizes that deploying Agentic AI responsibly requires clear guidelines for what AI should do and guardrails for what it cannot do.

Jean-Claude argues that AI models themselves will not create competitive advantage. Differentiation will come from data, domain knowledge, applications, and redesigned workflows. He advises healthcare technology leaders to move beyond the automation, pilot, and perfection traps and make focused enterprise AI investments. Take a listen.

In this episode, Ann Bilyew, President at WebMD Ignite, explores how the rise of AI-generated health information is changing the way health systems connect consumers to care. As LLMs increasingly own the information layer, she argues that the opportunity for healthcare organizations is shifting from owning search and discovery to establishing credibility and owning the handoff from a patient’s question to the right care.

Ann emphasizes the importance of complete, credible, and corroborated content, alongside personalized engagement that reflects each patient’s clinical circumstances, preferences, and needs. She also calls for reducing friction and breaking down organizational and technology silos across marketing, education, engagement, and care to create a more cohesive patient journey. Ann believes healthcare organizations must focus on creating the connection point between foundational AI models and the actual provision of care. Take a listen.

In this episode, Don Woodlock, President of InterSystems, discusses what it takes to make AI work effectively in healthcare. He emphasizes that organizations need to look beyond models and focus equally on use cases, ROI, change management, data, and integration. AI needs to be connected to the right data, context, procedures, and skills to deliver value within an organization.

Don emphasizes that healthcare remains a human endeavor. AI can summarize complex patient information and help clinicians consider additional possibilities, but it should support human decision-making rather than replace it. He sees agentic AI helping with administrative tasks, reducing burden, and improving access, with human oversight remaining essential.

Don believes AI-native healthcare requires AI to be embedded directly into products and workflows. Rather than bolting AI onto existing software, the opportunity is to rethink how users interact with systems, allowing them to state what they want accomplished while the technology handles the underlying work. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Roberta Schwartz, Executive Vice President at Houston Methodist Hospital and Chief Innovation Officer at Houston Methodist, explores how healthcare is moving from AI hype toward a more mature, outcomes-driven approach to innovation. She argues that as technology companies expand beyond traditional “swim lanes,” health systems must become more thoughtful about selecting platforms that can address multiple needs while avoiding fragmented solutions.

Roberta emphasizes that technology alone does not create transformation. Successful AI adoption requires rethinking workflows, redesigning processes, and measuring whether technology improves care, strengthens the workforce, and reduces costs. She shares Houston Methodist’s approach of bringing operators and IT leaders together to evaluate innovation through both frontline impact and ROI.

She also discusses agentic AI, virtual care, and centralized specialty services as ways to expand access and improve workforce efficiency. Her message to healthcare leaders is to remain optimistic but skeptical: define trials, measure outcomes, question assumptions, and ensure every technology investment delivers meaningful value. Take a listen.

In this episode, Shailu Verma, CEO and Co-founder of Mila Health, explores how healthcare AI is moving beyond patient engagement and conversational tools toward AI agents that execute care coordination workflows. He explains that many critical tasks across the patient journey remain manual, creating an opportunity for AI to improve access, engagement, operational efficiency, and outcomes.

Shailu emphasizes that scaling AI requires more than another point solution. AI must integrate seamlessly into existing clinical technology, remain configurable and governable, deliver consistent responses, and bring humans into the loop when needed. He sees LLMs becoming increasingly commoditized, making the last mile of execution, governance, and workflow integration critical differentiators.

Shailu urges healthcare leaders to start with measurable problems where AI can demonstrate real ROI. His message is clear: move AI from conversation to execution, automate manual coordination, and focus on getting meaningful work done. Take a listen.

In this episode, Dr. Ami Bhatt, Chief Medical Officer at WHOOP and former Chair of the FDA Digital Health Advisory Committee, explores how healthcare can embrace AI without losing the clinical judgment, human connection, and context essential to patient care. She sees AI as a powerful source of compute that can surface knowledge, identify patterns, and help clinicians navigate growing volumes of health data, while clinical acumen remains central to decision-making.

Dr. Bhatt emphasizes that digital health and Agentic AI must start with the patient, incorporate individual preferences, and establish clear guardrails for when human intervention is required. She also highlights wearables as an important bridge between community-based monitoring and clinical care.

Dr. Bhatt highlights the need for post-deployment monitoring and real-world evidence as AI systems continuously evolve, and calls for closer collaboration among patients, clinicians, technology companies, and regulators. She urges healthcare leaders to prepare for constant technological change, develop stronger digital infrastructure, and focus innovation on unmet patient needs rather than technology for its own sake. Take a listen.

This episode was recorded in July 2026. Dr. Bhatt is now Chief Medical Officer at WHOOP.

In this episode, Michael Archuleta, Chief Information Officer at Mount San Rafael Hospital, explores how technology can help rural health systems deliver high-quality, patient-centered care regardless of geography. He discusses the hospital’s transition to an AI-native Oracle Health platform and emphasizes that digital transformation should follow the patient journey, reduce clinician burden, improve interoperability, and enable better outcomes.

Michael sees AI, ambient technology, remote patient monitoring, and interoperability as important tools for improving clinical outcomes, reducing administrative burden, expanding access in rural communities, and giving clinicians more time to focus on patients. He also emphasizes that cybersecurity is fundamentally a patient safety issue, requiring continuous testing, workforce awareness, strong identity management, and a “human firewall” to counter increasingly sophisticated AI-enabled threats.

Michael believes rural healthcare can leapfrog legacy limitations by strategically investing in digital transformation and emerging technologies. He also sees the CIO role evolving from technology management to business and strategic leadership, with greater responsibility for automation, operational performance, workforce well-being, and patient outcomes. His message is clear: technology must matter, and it must ultimately improve care. Take a listen.

 This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Alex Zhavoronkov, Founder, CEO and CBO of Insilico Medicine, explores how generative AI is reshaping drug discovery and opening new possibilities in longevity research. He explains how AI can move pharmaceutical R&D from searching for promising molecules toward generating molecules with desired properties, while orchestrating specialized models and agents across the drug development lifecycle. Insilico combines AI models across biology, chemistry, and clinical development to move from target identification to drug candidates faster, with multiple programs now in clinical trials.

Alex argues that AI can dramatically expand the number of experiments researchers can conduct, but the complexity of biology means failure remains inevitable and real-world validation is essential. He discusses the industry’s shift from predictive AI to generative and agentic systems capable of orchestrating thousands of drug discovery tasks, while emphasizing the importance of rigorous validation.

Alex believes the strongest competitive advantages will come from proprietary drugs, scientific infrastructure, capital, and the ability to turn ideas into validated products. He cautions against AI hype and emphasizes benchmarking, peer-reviewed evidence, and clinical results. His ultimate ambition is to use AI-driven drug discovery to extend human lifespan and give people more years of life. Take a listen.

This guest appearance was facilitated through conversations initiated at Ai4 2026.

In this episode, Zaw Thet, CEO and Co-founder of Exer AI, explores how AI-powered computer vision can make human movement measurable and transform the delivery of musculoskeletal and movement health. He explains how Exer uses ordinary cameras and AI to assess movement across orthopedics, neurology, rehabilitation, telehealth, and at-home care, providing clinicians with objective insights while improving clinical efficiency and access.

The conversation highlights how AI can improve patient outcomes and help clinicians deliver more personalized care at scale. Zaw also discusses the growing role of continuous monitoring, combining movement data with signals from wearables to identify risks earlier, particularly for older adults and fall prevention. He emphasizes that scaling healthcare AI requires clinical validation, regulatory compliance, proprietary data, and patience to move from innovation to real-world adoption.

Zaw expects AI to create a more efficient healthcare system but cautions against removing humans from clinical decision-making too quickly. As generative AI expands, human oversight, accountability, and patient safety will remain essential to scaling AI responsibly. Take a listen.

In this episode, Dr. Angela Shippy, Senior Physician Executive and Clinical Innovation Lead at Amazon Web Services (AWS), shares how cloud and AI are reshaping healthcare by helping organizations move from experimentation to enterprise-scale transformation. She explains that successful AI adoption requires more than powerful models – it demands secure cloud infrastructure, responsible governance, workforce upskilling, and trusted partnerships.

Dr. Shippy explains how leading health systems are moving beyond isolated AI pilots by solving well-defined organizational and clinical challenges first. Through purpose-built services like Amazon Connect Health, institutions are streamlining patient engagement, reducing administrative burden, and improving access to care. From antimicrobial resistance surveillance to genomics research and health equity programs, she illustrates how cloud-based platforms are helping healthcare organizations generate insights faster and improve patient outcomes at scale.

Dr. Shippy believes that scaling enterprise AI requires upskilling healthcare workforces, establishing strong security guardrails, and embracing agentic workflows. She envisions a future driven by multimodal AI, ambient listening, and automated task execution that accelerates drug discovery, reduces burnout, and enables clinicians to focus on direct patient care. Dr. Shippy encourages health systems to start small, think big, and never lose sight of improving patient and workforce experiences. She believes agentic technologies will augment clinicians, accelerate innovation, and help build a more connected, efficient, and patient-centered healthcare ecosystem. Take a listen.

This guest appearance was facilitated through conversations initiated at ViVE.

In this episode, Greg O’Neill, Director of Patient & Family Health Education at ChristianaCare, explores why effective communication is one of the most overlooked drivers of better healthcare outcomes. Drawing on his experience as an ICU nurse and health system leader, Greg explains that health literacy is not simply about providing information, it is about ensuring patients truly understand their care and feel confident acting on it.

Greg shares how ChristianaCare is embedding health literacy into patient education, medication management, and clinical workflows by using plain language, personalized content, and technology that supports rather than disrupts caregivers. He also discusses AI’s potential to break down fragmented care by connecting information across systems, reducing cognitive burden for patients, and guiding them through increasingly complex healthcare journeys.

Greg encourages healthcare leaders to adopt a health literacy lens when evaluating digital tools and transformation initiatives. He argues that the greatest value comes when technology strengthens human connection, builds trust, and helps patients achieve better outcomes through clearer communication. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Umesh Rustogi, General Manager, Healthcare & Life Sciences Dragon & Platform at Microsoft, explains that meaningful AI outcomes depend on combining unified multimodal data foundations with clinician-centered design to achieve healthcare’s quadruple aim: improving care quality, patient experience, operational efficiency, and workforce well-being.

Addressing the severe nursing shortage and turnover driven by administrative burnout, Umesh details how Microsoft co-innovated with nine major health systems to deploy Dragon Copilot for Nursing, a clinical assistant that works alongside nurses. By leveraging ambient AI on mobile devices, the solution helps nurses capture flow sheet documentation for their review and maintains a running cognitive memory across shifts, significantly lowering cognitive load and enabling nurses to be truly present with their patients.

Umesh also emphasizes that enterprise-scale success requires far more than model selection. It demands responsible AI governance, transparent audit capabilities, deep workflow customization, and robust change management, including nurse leader sponsorship and dedicated unit champions. He envisions smart hospital rooms, multimodal AI, wearable integration, and agentic workflows transforming clinical operations by delegating non-patient-facing tasks so caregivers can focus on delivering better care. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Dr. Haider Warraich, Program Manager, Scalable Solutions at Advanced Research Projects Agency for Health (ARPA-H), explains why building trust, not just advancing technology, is key to unlocking the next generation of healthcare AI. Leading ARPA-H’s ADVOCATE program, he shares how the agency is accelerating the development of patient-facing, agentic AI designed to improve outcomes for people living with heart failure, while simultaneously building the regulatory and evaluation infrastructure needed to safely bring these innovations into clinical practice.

Dr. Warraich argues that healthcare must innovate and evaluate AI in parallel. As AI development accelerates, lasting trust will depend on rigorous clinical evidence, familiar regulatory pathways, and real-time post-market monitoring. He also encourages innovators to think boldly, noting that breakthrough ideas often seem unrealistic before they become reality.

Dr. Warraich sees AI alignment, patient-centered technologies for high-need populations, and high-fidelity healthcare simulations as the next frontiers of innovation. He envisions that the future of healthcare AI will be shaped by bold ideas grounded in scientific rigor, transparent evaluation, and close collaboration between innovators, regulators, and health systems. That’s how the industry will build the trust needed to scale AI and improve patient care. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Dr. Anne Snowdon, Scientific Director and CEO at SCAN Health and Chief Scientific Research Officer at HIMSS, explores why AI has the potential to transform healthcare, but only if health systems build the evidence, infrastructure, and workforce readiness to support it. She argues that while AI is generating tremendous excitement, most health systems are still in the early stages of adoption with many initiatives remaining in pilot phases.

Dr. Snowdon explains that healthcare must shift from deterministic decision-making toward probabilistic, predictive care, while developing new approaches to continuously evaluate AI as it learns and evolves. She also highlights the need to improve AI literacy among clinicians and establish stronger evidence before scaling enterprise-wide deployments.

Beyond clinical workflows, Dr. Snowdon makes a compelling case for reimagining digital health around patients rather than health systems. She envisions AI empowering individuals to better manage their health while seamlessly connecting them with trusted providers through interoperable, data-driven ecosystems. She also identifies digitally enabled supply chains as a critical but often overlooked foundation for safer, more personalized, and higher-quality care. She believes that the future of healthcare depends not just on adopting AI, but on creating connected, evidence-based systems that improve outcomes for patients, clinicians, and the broader health ecosystem. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS AI in Healthcare Forum.

In this episode, Naomi Fried, PhD, Founder and CEO of PharmStars, shares how stronger collaboration between startups and pharmaceutical companies is accelerating healthcare innovation. Drawing on leadership roles at Biogen, Kaiser Permanente, Boston Children’s Hospital, consulting work with large pharma companies, and collaboration across the digital health ecosystem, she explains why the most successful innovations are built around customer needs rather than technology alone.

Naomi discusses how PharmStars helps digital health startups, including those developing AI-powered solutions, understand the pharmaceutical industry, refine their value proposition, and build lasting partnerships with global pharma companies. She highlights AI as one of the most exciting areas of innovation, with the potential to improve patient care, support clinicians, and create new opportunities for life sciences organizations. However, Naomi emphasizes that technology alone is never enough. Successful innovators listen more than they pitch, understand customer pain points, and build trusted relationships.

Naomi also talks about the importance of clinician workflows, internal champions, and continuous product evolution. Whether leveraging AI, software, or medical devices, her message is clear: lasting innovation comes from solving meaningful problems, adapting to customer needs, and building partnerships that create real-world impact. Take a listen.

In this episode, Dr. Dhruv Khullar, Associate Professor of Medicine and Population Health Sciences at Weill Cornell Medicine, explores how technology, public trust, and the evolving role of physicians are reshaping healthcare. Drawing on his experience as both a practicing clinician and a leading commentator on health policy, he argues that medicine is no longer the singular authority on health. Physicians now share influence with social media, AI tools, direct-to-consumer health companies, and a growing ecosystem of digital health platforms.

Dr. Khullar also discusses the promise and pitfalls of AI, emphasizing that while the technology can improve documentation, patient navigation, drug discovery, and clinical decision support, its adoption must be guided by evidence and rigorous evaluation. According to him, AI’s greatest opportunity may be helping restore the human connection in care by removing administrative burdens and creating more space for meaningful patient interactions.

The conversation also explores physician education, AI literacy, value-based care, public trust, and the growing commercialization of healthcare. Dr. Khullar returns to a central theme: technology alone will not solve healthcare’s challenges. Progress will require stronger communication, thoughtful leadership, and a renewed commitment to putting patients, not profit, at the center of care. Take a listen.

This guest appearance was facilitated through conversations initiated at Health Tech Summit.

In this episode, Julie Demaree, Vice President and Chief Technology and Digital Innovation Officer at St. Mary’s Healthcare, shares a pragmatic approach to digital transformation in rural healthcare, where innovation is driven by operational realities rather than technology hype. A former physician assistant turned technology executive, Julie argues that successful innovation begins with culture, governance, and clinician engagement, not new tools.

She discusses how St. Mary’s has improved patient safety and clinician experience by rethinking clinical decision support, reducing alert fatigue through careful curation, and involving frontline clinicians in governance decisions. Julie also highlights the importance of optimizing existing technology before investing in new solutions, noting that many organizations overlook capabilities already available within their EHRs.

Julie sees significant potential for automation and agentic AI to reduce administrative burden, improve patient access, and help lean teams operate more effectively. She emphasizes that AI adoption must be accompanied by strong governance, user education, and critical thinking. Her message is clear: innovation is not about adding more technology, it’s about solving the right problems, eliminating unnecessary work, and building systems that better support patients, clinicians, and communities. Take a listen.

In this episode, Marshall Glanzer, Chief Technology Officer of Town Square Health, outlines a bold model for scaling fully capitated risk programs for Medicare recipients. Transitioning from food-delivery logistics at GrubHub, Marshall brings critical structural insights for digital health innovators seeking to scale clinical models without eroding patient trust.

The core theme of the discussion centers on a counter-intuitive tech strategy: utilizing advanced digital infrastructure to intentionally deepen human relationships rather than automate them away. Town Square orchestrates unified “coordinated care visits,” bringing the patient, primary clinician, and a remote specialist into a single conversation to act as a multi-disciplinary “healthcare oracle” at the point of care.

For technology vendors, Marshall defines a safe clinical AI deployment roadmap using an “augmented clinician” framework. Advanced workflows, like chat-first patient portals managed by an automated “AI judge,” rely on the licensed physician as the ultimate orchestrator. This approach elegantly bypasses commercial barriers like malpractice liability, credentialing, and fractured billing, leveraging the financial alignment of value-based care to fully absorb modern R&D costs. Take a listen.

In this episode, Dr. Ben Long, Director of Hospital Medicine at Magnolia Regional Health Center and Weston Blakeslee, VP of Clinical Intelligence at DrFirst, break down a critical industry starting point – the reality that one in five new prescriptions is never filled and half of all refills are eventually abandoned. Sharing the results of their peer-reviewed study published in PLOS Digital Health, Dr. Long and Weston offer a grounded blueprint for how resource-constrained community health systems can conquer chronic heart failure readmissions.

The core theme of the conversation underscores an industry-wide shift from reactive, episodic care silos toward a proactive, connected population health management. While automated SMS nudges provide real-time cost transparency and essential medication education, the ultimate force multiplier lies in pairing those digital touchpoints with frontline, nursing-led care navigation. By connecting digital prescribing insights with real-world human validation, this “trust-first” design bridges the gaps between discharge and the home medicine cabinet. Take a listen.

In this episode, Omkar Kulkarni, VP, Chief Transformation & Innovation Officer at Children’s Hospital Los Angeles (CHLA), outlines the stark funding gap in pediatric innovation, which receives less than 1% of digital health investments despite children making up 20% of the population. To combat this, the CHLA-led KidsX consortium unites children’s hospitals nationwide to scale early-stage digital solutions through collaboration over competition.

Omkar suggests that pediatrics requires entirely separate technological blueprints, hence digital tools must be designed for adult caregivers, accommodate strict adolescent privacy laws at age 12, and scale across diverse physiological sizes. He highlights vital innovation pipelines, including AI tools targeting the youth mental health crisis, longitudinal chronic care management, and 24/7 validated conversational interfaces for parents.

For healthcare startups entering this space, Omkar emphasizes that the key to building institutional trust relies on presenting deep, heterogeneous clinical evidence, establishing commercially viable billing frameworks, and practicing deep humility when approaching complex clinical partnerships. He believes that generative AI will not replace clinicians but will instead automate administrative tasks, empowering them to focus on top-of-license, human-to-human care. Take a listen.

In this episode, Dr. Nele Jessel, Chief Medical Officer at athenahealth, explores the rapid shift in physician sentiment toward AI and why healthcare may finally be reaching a true inflection point in digital transformation. Dr. Jessel explains how decades of EHR-induced administrative burnout initially made clinicians wary of new technology. However, the arrival of ambient note generation changed the game almost overnight, removing immense cognitive load and restoring the intimate, face-to-face physician-patient relationship.

A core theme of the discussion is the critical pivot toward clinician-guided development rather than vendor-driven solutions. Dr. Jessel details how athenahealth uses rapid “pre-alpha” prototyping to tackle the modern challenge of interoperability data-overload, deploying large language models to synthesize complex clinical records into actionable insights at the point of care. While emphasizing that medicine remains an art that requires a human in the loop for diagnostics, she outlines a future where autonomous, agentic AI conquers administrative burdens like prior authorizations. Ultimately, healthcare is reaching a true inflection point, transforming the EHR from a passive data repository into an invisible, intelligent assistant. Take a listen.

This guest appearance was facilitated through conversations initiated at ViVE.

In this episode, Sally Ann Frank, Global Lead for Health and Life Sciences at Microsoft for Startups, discusses how AI is moving beyond experimentation toward measurable enterprise impact. She emphasizes that the most successful startups differentiate themselves not just through technology innovation, but through evolving business models, strong customer discovery practices, and a coachable mindset grounded in strategic mentorship.

Sally explores the challenge of “pilot purgatory,” noting that founders must design for production from day one. Establishing clear ROI frameworks and demonstrating early value are essential to maintaining momentum and avoiding the law of diminishing interest often seen in stalled pilots. Looking toward 2026, Sally envisions a “show me the money” era centered on four bridges: expanding global access through virtual technology to democratize care, closing the investment gap in women’s health beyond reproductive care, advancing AI-driven precision medicine through genetics for individualized treatment, and shifting healthcare from reactive treatment toward preventative longevity. Ultimately, the conversation highlights that lasting success in AI will belong to organizations that evolve into trusted advisors, consistently delivering value at every interaction. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Andrew Porter, CEO of Wayne General Hospital, shares how a community-based health system is navigating the dual pressures of financial sustainability and rural healthcare delivery. Drawing on his unique “three-legged stool” perspective as a clinician, administrator, and academic, Andrew highlights the necessity of staying nimble in a rapidly evolving market.

Wayne General is taking a pragmatic approach to AI by focusing on real problems instead of technology hype. Andrew details the successful implementation of ambient AI documentation, which has improved provider satisfaction and restored the intimacy of the patient-physician relationship. He also discusses leveraging AI partnerships to bring high-sophistication care, such as heart murmur detection, to rural populations. Andrew emphasizes the critical need for AI-driven transformation in the revenue cycle to alleviate the administrative complexity burdening small hospitals. Take a listen.

In this episode, Dr. Bharat Sutariya, Senior Vice President and Chief Health Officer at Oracle Health, discusses the radical transformation of healthcare through AI-native digital platforms. As an emergency physician with over 25 years of experience, including leadership roles at Cerner and Deloitte, Dr. Sutariya provides a unique perspective on moving past the “burden” of legacy EHR systems.

The core of the conversation centers on Oracle’s bold bet: moving away from the industry-standard “bolt-on” AI approach. Instead, Oracle is rebuilding the healthcare stack from the ground up, embedding AI into the foundational layer. Dr. Sutariya argues that the future of healthcare technology isn’t just about capturing data but about systems of orchestration. This means AI that doesn’t just transcribe a note but listens to the clinical intent to automatically queue orders, handle referrals, and initiate prior authorizations.

Dr. Sutariya predicts that within a year, the conversation will shift from documentation efficiency to a truly connected, intelligent ecosystem that gives time back to both providers and patients. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Linda Stevenson, Chief Operations & Information Officer at Fisher-Titus Health, shares how rural health systems are driving innovation under significant resource constraints. Leading a 100-bed community hospital with a lean IT team, she highlights the realities of “doing more with less”—from workforce shortages to the critical need for interoperability in coordinating care beyond organizational walls.

Linda challenges the industry’s fixation on AI as a standalone strategy, advocating instead for a problem-first approach: start with the clinical or operational need, then determine if AI is the right fit. She emphasizes that true transformation comes from aligning technology with enterprise priorities, not chasing hype.

She also points to persistent gaps in interoperability and growing cybersecurity risks, particularly in rural settings where vulnerabilities can impact the broader ecosystem. Her message is clear: stay grounded in strategy, focus on outcomes, and prioritize partnership over products to drive meaningful, scalable change. Take a listen.

This guest appearance was facilitated through conversations initiated at ViVE.

In this episode, Dr. Ruchi Garg, Chief Medical Officer at Fairview Park Hospital, shares how frontline clinicians are shaping the responsible adoption of AI in real-world care settings. Dr. Garg highlights how COVID accelerated digital adoption, from telehealth to remote patient monitoring, demonstrating that care can be both accessible and efficient when technology is thoughtfully applied.

Dr. Garg underscores that AI’s true value lies in reducing administrative burden, particularly in areas like documentation and prior authorization, where inefficiencies delay care and strain clinician-patient relationships. She notes that ambient AI is already improving accuracy and saving hours for physicians, with the next wave extending into orders, workflows, and care coordination.

However, she emphasizes that successful adoption depends on clinician involvement, intuitive design, and minimizing workflow friction. While AI may take on more clinical decision-making, questions around trust, liability, and human oversight remain central, making it critical for healthcare leaders to actively shape, not resist, this transformation. Take a listen.

This guest appearance was facilitated through conversations initiated at ViVE.

In this episode, Dr. Ed Lee, Chief Medical Officer at Nabla, shares how AI is moving beyond hype to reshape real-world care delivery. Drawing on his experience at Kaiser Permanente, he emphasizes that the true goal of technology is not efficiency alone, but restoring the human connection in healthcare.

Dr. Lee explores why change management, not the technology itself, is the hardest part of AI adoption, and why clinician involvement from day one is non-negotiable. He challenges the early narrative around time savings, arguing that the deeper ROI of ambient AI lies in reducing cognitive burden, restoring joy in medicine, and rebuilding the patient-physician relationship. He also looks ahead to the next frontier: clinical decision support, diagnosis capture, and chart summarization woven seamlessly into workflows. Dr. Lee’s closing thought is simple but powerful – done right, AI shouldn’t feel technical. It should feel human. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Dr. Roy Schoenberg, CEO of Aileen and Founder and Executive Director of Amwell, reflects on the evolution of telehealth and shares a bold vision for AI’s role in reshaping care delivery. He argues that telehealth has largely been used as a substitute channel for traditional visits, whereas its true potential lies in redistributing expertise and democratizing access to care at scale.

Dr. Schoenberg sees AI becoming the primary entry point to healthcare, guiding patient journeys through intelligent, cost-driven pathways while working in concert with, rather than replacing, clinical systems. Through his new venture, Aileen AI, Dr. Schoenberg introduces a fundamentally different approach to virtual care: building “staying power” in patients’ lives through deeply personalized, relationship-driven AI interactions, for seniors. By focusing on familiarity, trust, and daily engagement—delivered through simple interfaces like phone calls—Aileen aims to address the growing caregiving gap. Ultimately, he emphasizes that while AI adoption will evolve gradually, its role as a foundational layer in healthcare is inevitable. Take a listen.

This guest appearance was facilitated through conversations initiated at HIMSS.

In this episode, Dr. Michael Hasselberg, Chief Transformation and Digital Officer at Nebraska Medicine, makes a compelling case that sustainable digital transformation in healthcare requires more than technology, it demands the right organizational structure. By unifying IT, innovation, and strategy under a single transformation office, health systems can move from isolated pilots to enterprise-wide impact.

Drawing from his journey across telehealth, mobile apps, VR, and AI, Dr. Hasselberg emphasizes that true transformation is about redesigning systems to deliver the right care at the right time. Nebraska Medicine deploys nearly one new generative AI tool per month, automating capacity management, discharge workflows, and revenue cycle operations. He also highlights the value of real-world innovation units where new technologies are tested with live patients before system-wide deployment.

Dr. Hasselberg’s most provocative insight: the next frontier of AI readiness isn’t a new technology, it’s application rationalization. He argues that to lead in AI and innovation, health systems must simplify their tech stack. Take a listen.

In this episode, Dr. Stephen K. Klasko, former CEO of Jefferson Health, Executive in Residence at General Catalyst, Board Chair at DocGo, Teleflex, and one of healthcare’s most provocative voices, challenges the industry to rethink its fundamental assumptions and move toward a more sustainable, patient-centered future. He argues that despite years of discussion around value-based care and digital transformation, true disruption has been limited because stakeholders remain unwilling to fundamentally change existing business models.

Dr. Klasko argues that the healthcare system is broken, fragmented, expensive, and inequitable and that true disruption, like what Uber did to taxis or Amazon to retail, will demand that some players fail. He makes the case that the annual physical visit is a farce, and that continuous health narratives powered by wearables and AI companions are the future of proactive, personalized care.

On the tech-provider collaboration front, Dr. Klasko identifies – founder ego, misaligned incentives, and EHR-era skepticism as the biggest barriers. He advocates for co-developing solutions, sharing equity, and building genuine partnerships. Dr. Klasko’s message to healthcare leaders is unambiguous: stop turning things around 360 degrees and start making real, uncomfortable changes. Take a listen.

This guest appearance was facilitated through conversations initiated at Health Tech Summit by Cornell Tech.

In this episode, Dr. Eric Stecker, Co-founder and Chief Medical Officer at Insight Health, explores how autonomous AI agents are reshaping cardiovascular care and population health in the United States.

Dr. Stecker draws a critical distinction between autonomous action and autonomous decision-making, arguing that AI can deliver enormous clinical value today by acting autonomously on well-established care protocols, without waiting for fully autonomous diagnostic AI. He highlights that preventable conditions like hypertension and high cholesterol already have decades of evidence behind them; the real gap is in implementation, where AI-powered agents can identify at-risk patients, prompt appropriate prescriptions, and check in on medication adherence by reducing millions of avoidable cardiac events.

Dr. Stecker emphasizes that clinician involvement, not just advisory oversight, is essential to avoid alert fatigue, documentation overload, and signal-to-noise failures. He states that meaningful AI adoption requires building trust with both healthcare workers and patients, starting with autonomous action today while responsibly advancing toward autonomous clinical decision-making tomorrow. Take a listen.

This guest appearance was facilitated through conversations initiated at ViVE.

In this episode, Rachel Feinman, SVP of Innovation and Managing Director, TGH Ventures at Tampa General Hospital, shares how the organization is breaking out of “pilot purgatory” to turn digital innovation into measurable impact. With a clear mandate to move beyond endless experimentation, the focus is on starting with a strong thesis, partnering intentionally, and scaling quickly when results are proven.

Rachel reflects on her journey from law to healthcare, bringing a unique lens on strategy, execution, and deal-making. She highlights the balance healthcare must strike that is moving fast in operational and administrative workflows while taking a deliberate, governance-led approach to clinical innovation. This “go slow to go fast” mindset enables both safety and speed.

She also underscores the growing role of AI in improving logistics, supporting care teams, and unlocking real-time insights, while emphasizing responsible deployment. Beyond technology, the real opportunity lies in connecting fragmented care journeys and extending care beyond hospital walls to create a more seamless, patient-centered experience. Through strategic investments and a focus on outcomes, Tampa General is building an innovation model designed to scale impact, not just ideas. Take a listen.

In this episode, Aditya Bansod, CTO and Co-Founder of Luma Health, about why healthcare AI often underdelivers — and what leaders must do to turn promise into performance.

Aditya argues that AI’s challenge in healthcare isn’t ambition, but execution. While new tools are emerging rapidly, most remain point solutions that fail to integrate into the complex workflows that move patients from scheduling to care delivery. True impact, he says, depends on orchestrating the “last mile” of healthcare, referrals, intake, documentation, and the countless operational handoffs that determine whether care actually happens.

He shares how Luma approaches AI adoption with flexible guardrails, allowing health systems to calibrate automation based on confidence thresholds and maturity. The conversation also explores the rise of agentic AI, the tension between human-in-the-loop oversight and autonomy, and why CIOs are navigating a messy but necessary consolidation phase.

Looking ahead, Aditya is optimistic that AI will transform patient access and engagement, only if it’s deeply embedded into workflows, not layered on top of them. Take a listen.

In this episode, Dr. Andrea Willis, SVP and Chief Medical Officer at BlueCross BlueShield of Tennessee, shares how payers can harness AI to advance affordable, accessible, and more human-centered care.

From her clinical roots to leading population health, quality, and health equity initiatives, Dr. Willis brings a deeply personal commitment to service. She describes how AI is being deployed across care management and utilization management, not to replace clinicians or deny care, but to augment teams, accelerate evidence-based decisions, and close gaps in care. In care management, AI-powered summarization and prompting help staff stay fully present with members while improving engagement and measurable outcomes. In utilization management, transparency, evidence-based criteria, and clear documentation remain foundational to rebuilding provider trust. She also highlights that relevance matters more than data volume, and that guided self-service must balance automation with timely human escalation.

Dr. Willis emphasizes transparency in prior authorization, cross-functional governance, AI literacy goals across the enterprise, and strong PHI protections. For here, scaling AI responsibly – through interoperability, collaboration, and measurable impact – is key to rebuilding trust and transforming the healthcare experience. Take a listen.

In this episode, Dr. Amit Phull discusses what responsible AI adoption in healthcare really looks like, starting with trust, usability, and preserving clinician judgment. He emphasizes that ease of use and confidence in outputs are non-negotiable for clinician adoption, especially in already time-constrained workflows.

The discussion also explores why AI must be built with clinicians, not simply deployed for them, and how poorly integrated tools risk adding friction instead of value. Dr. Phull also talks about preserving a clinician’s “spidey sense”—the intuition developed through experience—while using AI to augment, not override, clinical judgment. The conversation also touches on how success should be measured beyond dashboards, including recurrent use, time savings, and reductions in burnout.

Dr. Phull states that AI, when designed thoughtfully, can help clinicians reclaim time, sharpen expertise, and focus more fully on patient care, without losing the human edge that defines great medicine. Take a listen.

In this episode, Dr. Chethan Sathya, Vice President of Strategic Initiatives at Northwell Health, unpacks why healthcare innovation only scales when clinicians, public health, and AI are designed to work together.

Dr. Sathya shares his journey from surgery to journalism to public health advocacy, including leading gun violence prevention efforts. He explains why most AI pilots fail, because of poor workflow integration and clinician burden, and why ambient intelligence, tele-specialty care, and agentic AI are poised to scale. His message is clear: build technology alongside clinicians, not around them. Take a listen.

In this episode, Jonathan Bush, Founder & CEO of Zus Health, shares a bold vision for the next phase of healthcare transformation. Drawing on decades of experience, Jonathan argues that while EHR adoption is largely complete, today’s systems remain fee-for-service–oriented, creating fragmented views of patients – what he describes as the “blind men and the elephant” problem. The result: clinicians still lack a complete, longitudinal picture of the patient and rely on repeated tests and “bags full of records.”

Jonathan explains how Zus Health is re-architecting healthcare data by creating a longitudinal, always-on common patient record. Zus is an API-first platform built on an AI-enabled backbone that aggregates, structures, and continuously updates data across multiple EMRs. He emphasizes the power of network effects, where shared intelligence can eliminate redundant tests and unnecessary care.

The conversation also explores why interoperability must move beyond regulatory compliance to become core infrastructure for value-based care, and how AI-driven summarization and agentic workflows can reduce clinician burden while enabling proactive, patient-centered care. Take a listen.

In this episode, Dr. Greg Goldmacher, Associate VP of Clinical Research at Merck, known as MSD outside of the United States and Canada, explains how AI is transforming imaging, clinical trials, and early-stage drug development. Greg describes endpoints as the core of every clinical trial, since they determine whether a therapy is safe or effective. He notes that AI is not new to imaging and aligns well with pattern recognition, yet its real value lies in identifying details that humans often miss.

Greg stresses that drug development still depends on huge volumes of data spread across legacy systems. Without strong data standardization, AI cannot deliver reliable results. He also points to the FDA’s evolving guidance on AI and emphasizes the need for rigorous validation before using AI-derived measurements for regulatory decisions.

Greg highlights the opportunity to improve efficiency, reduce human burden, and generate more consistent insights. With thoughtful adoption, AI can support better decisions in clinical development and improve outcomes for patients. Take a listen.