Summary
Nonbinding guidance for health systems that defines organizational governance for clinical AI, including policies, local validation, continuous monitoring, data and model transparency, workforce training, and risk/bias management to support safe, effective deployment.
Healthcare Implications
Hospitals and health systems should establish or update AI governance committees, validation protocols, and post‑deployment monitoring for safety, fairness, and performance. Procurement and quality teams can use the guidance as a checklist for vendor due diligence.