
Show Notes
The Big Unlock · Dr. Angela Shippy, Senior Physician Executive and Clinical Innovation Lead, Amazon Web Services (AWS) 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.
More from The Big Unlock
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.
The Big Unlock · Hal Wolf, President and CEO, HIMSS
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.
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.
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.