The Big Unlock

Episode 216 – The Future of Healthcare Lies in Connected, Evidence-Based Systems

The Big Unlock

Show Notes

The Big Unlock · Dr. Anne Snowdon, Scientific Director and CEO, SCAN Health and Chief Scientific Research Officer, 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.

More from The Big Unlock

Oct 20, 2026

The Big Unlock · Dr. Richard Zane, Chief Medical Officer and Chief Innovation Officer, UCHealth 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.

Oct 13, 2026

The Big Unlock · Hal Wolf, President and CEO, HIMSS

Oct 6, 2026

The Big Unlock · Jean-Claude Saghbini, Chief Technology Officer and President of Technology Services, Lumeris 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.

Sep 29, 2026

The Big Unlock · Ann Bilyew, President, WebMD Ignite 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.

Sep 22, 2026

The Big Unlock · Don Woodlock, President, InterSystems 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.

See all episodes →