Knowledge Hub resource
AI Governance Executive Checklist
A practical checklist for leadership teams preparing to evaluate, approve and monitor healthcare AI use cases.
This executive checklist organizes responsible AI governance around accountable ownership, use-case classification, evidence, data, human oversight, monitoring and incident response.
What the checklist covers
- Executive and multidisciplinary decision rights
- Use-case risk and intended-purpose classification
- Data quality, privacy and security review
- Clinical or operational evidence requirements
- Human oversight, escalation and incident response
- Post-deployment monitoring and periodic re-approval
How to use it
Use the checklist before procurement, during pilot approval and as part of recurring governance reviews. Adapt each control to local clinical, legal, privacy, security and regulatory requirements.
What you will learn
Identify governance owners; classify use-case risk; document evidence and monitoring; define escalation and review.
Who this is for
CIOs, clinical leaders, privacy, legal and security teams