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

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.