Summary
Provides a healthcare-sector AI governance framework, including a cross-functional governance committee model, seven governance pillars, a phased implementation roadmap, a sample AI acceptable-use policy, and safeguards addressing privacy, third-party risk, model and output risk, bias, cybersecurity, incident response, training, monitoring, and shadow AI.
Healthcare Implications
Healthcare organizations can adapt the framework to establish AI inventories and approval processes, restrict sensitive data use in public AI tools, require authorization and human review for high-impact uses, conduct impact and vendor assessments, define contractual and incident-response controls, and monitor deployed systems over time.