Healthcare organizations are investing rapidly in AI, but many efforts remain fragmented across applications, data pipelines, and workflows. This makes it difficult to govern AI consistently, evaluate results in context, and build the trusted foundation needed for enterprise adoption.
This moderated panel examines the digital backbone required for an AI-ready health system. Informatics leaders discuss how organizations can connect structured and unstructured data, improve semantic consistency, preserve identity, provenance, and clinical context, and govern privacy, consent, equity, and appropriate use.
Attendees wil gain practical perspectives on what research and implementation experience are showing about data readiness, AI evaluation in context, and trusted adoption with greater confidence, consistency, and accountability.
Moderator
- Russell Leftwich, MD, FAMIA
Senior Clinical Advisor Interoperability, InterSystems
Panelists
- Hannah Galvin, MD, FAAP, FAMIA
Chief Health Information Officer Cambridge Health Alliance - Eric Poon, MD, MPH, FACMI
Chief Health Information Officer and Professor of Medicine Duke University Health System and School of Medicine