Data quality, interoperability, and the future of healthcare AI

For healthcare organizations, trustworthy AI requires five connected capabilities: clear data contracts; patient identity and event reconciliation; lineage and provenance; automated quality and drift monitoring; and purpose-based access controls.

NIST's Generative AI Profile, although not healthcare-specific, reinforces related practices such as assessing training-data risks, documenting sources, maintaining provenance, and monitoring systems over time.

A healthcare AI system is only as trustworthy as the data engineering that feeds it and the controls that watch it.