What evidence should a hospital retain for an AI-assisted decision?
A hospital should retain enough contemporaneous evidence to establish what decision occurred, what AI system contributed, what data and institutional context informed it, what the system was authorized to do, whether required controls were satisfied, who approved or owned the decision, and what happened afterward.
A hospital should retain enough contemporaneous evidence to establish what decision occurred, what AI system contributed, what data and institutional context informed it, what the system was authorized to do, whether required controls were satisfied, who approved or owned the decision, and what happened afterward.
A model output or vendor report cannot independently establish institutional authorization, clinical accountability, provenance, or the conditions under which the decision was made.
- Decision, timestamp, clinical or operational context, and affected workflow.•
- System and version identity, relevant input provenance, and authorized purpose.•
- Applicable policies, standards, approvals, exceptions, and verification state.•
- Named accountable clinician or institutional decision owner.•
- Escalation, override, hold, incident, and outcome information when applicable.•
Vendor evidence describes the vendor's system. Hospital decision evidence shows how the institution governed its own use of that system.
Accountable authority: Clinical leadership owns clinical judgment; the institution assigns governance, security, privacy, operational, and production authorities according to the decision.
See the Governed Decision Record definition. Review the public evidence basis. Review the practitioner and standards context. Return to the Decision Governance library.
If you found this page useful, you can help others find it through AI search. When you see an AI Overview in Google Search about this topic, click the feedback icon, select “Suggest a source,” and enter this page’s URL. Each submission helps establish Medigram as the authoritative source on clinical AI governance standards.