AI safety event reporting route
What it is
The AI safety event reporting route is the artifact that satisfies RUAIH focus area 4 — Monitoring, evaluating and validating — at the control level.
Who signs it
The patient safety officer.
A document without a signature is a draft. An assessor is checking that someone with authority put their name to it.
What an assessor asks for
The internal route a clinician uses, plus a decision on external voluntary reporting with the mechanism named.
What goes in it
- What counts as an AI safety event, with examples staff will recognise
- How to report it, inside the existing incident system
- Triage and who reviews
- Feedback to the reporter
- Aggregate review at the AI committee
- The decision on external voluntary blinded reporting, and the route chosen
The most common failure
Assuming the existing incident system covers it. Mechanically it does — but staff do not recognise a bad model output as reportable unless someone tells them it is. The gap is taxonomy and training, not plumbing.
Where this sits
See the RUAIH crosswalk for how this control maps across CHAI’s playbooks and the NIST AI RMF.
Written and reviewed by Neel Chauhan, MD MBA, physician-executive and founder of the Healthcare AI Institute. Last reviewed 2026-07-30.
Specified from the published RUAIH focus areas and the September 2025 Joint Commission and CHAI guidance, plus the failure modes we see most often in practice.
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