AI-Ready Data for Learning Health Systems

Artificial intelligence is now a strategic priority and a clinical trust challenge. For healthcare organizations, success depends not only on which AI models they deploy, but on whether the enterprise data foundation behind those models is trusted, governed, contextualized, workflow-integrated, and fit for purpose.

This webinar explores how health systems can build AI-ready data strategies that connect clinical, operational, financial, research, population health, real-world, and patient experience data into a foundation for continuous learning. Topics include interoperability, data quality, semantic consistency, provenance, governance, clinical context, workflow integration, and feedback loops.

Participants will learn how organizations can move from connected data to data utility: data that can be trusted, acted upon, and used to improve care, operations, research, population health, and outcomes.