AI Data Governance in Healthcare: Transparency, Security, and Compliance
Healthcare data governance is the systematic management of healthcare data assets, including clinical, patient, and operational data, to ensure their accuracy, security, compliance, and usability for clinical, regulatory, and analytical purposes. As healthcare organizations increasingly rely on data-driven decision-making and artificial intelligence, AI data governance in healthcare has become a critical extension of traditional governance practices, ensuring that data used for AI models is trustworthy, compliant, and fit for purpose. In 2026, governance must move beyond simple compliance due to evolving regulatory requirements, including revisions to the HIPAA Security Rule , state-level AI regulations, and obligations under the EU AI Act. ● At the same time, FHIR/HL7 interoperability mandates and the rapid growth of unstructured data , which now accounts for nearly 80% of healthcare data, are creating significant challenge...