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 will explore 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 will include interoperability, data quality, semantic consistency, provenance, governance, clinical context, workflow integration, and feedback loops.
Designed for AMIA members and the broader healthcare community, the session will focus on 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.
Presenters
