Governance must now evolve from policy to practice, measured not in frameworks adopted but in safety assured.

Turning frameworks into patient-centered care requires action. Hospitals and health systems should:

• Include patients and frontline clinicians in governance committees to ensure real-world concerns and lived experiences shape AI policies.
• Mandate continuous monitoring and bias audits to regularly assess model performance and identify unintended consequences early.
• Ensure transparency at the point of care by informing patients when AI influences decisions and providing ways to question recommendations.
• Invest in workforce upskilling so clinicians and staff understand AI’s capabilities and limitations and can identify when simpler solutions suffice.

to regularly assess model performance and identify unintended consequences