The Big Unlock

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.