AI safety event reporting
The mapping
| Framework | Where this control sits |
|---|---|
| Joint Commission RUAIH | Focus area 4 — Monitoring, evaluating and validating safety performance, effectiveness and responsible use |
| CHAI governance playbooks | Playbook 4 — Responsible AI lifecycle management |
| NIST AI RMF | MANAGE |
The artifact: AI safety event reporting route
Who signs it: The patient safety officer
What an assessor actually asks for
The internal route a clinician uses, and a decision on external voluntary reporting with the mechanism named.
Why the mapping is not obvious
This is the element most likely to be missed entirely, because it appears in the September 2025 guidance as its own element — voluntary, blinded reporting of AI safety-related events to an independent organisation — but is folded inside RUAIH’s monitoring area rather than standing alone. Working from the RUAIH five areas without reading the seven elements underneath them is how organisations miss it.
The most common failure
Assuming the existing incident system covers it. It does, mechanically — but staff do not recognise a bad model output as a reportable event unless someone tells them it is one. The gap is taxonomy and training, not plumbing.
Where this sits in the whole map
This is one control in the RUAIH ↔ CHAI ↔ NIST crosswalk. The artifact itself is specified at AI safety event reporting route.
Written and reviewed by Neel Chauhan, MD MBA, physician-executive and founder of the Healthcare AI Institute. Last reviewed 2026-07-30.
Generated from data/crosswalk.yaml, where the mapping and the commentary for each control are authored individually. Reviewed on each framework revision.
The Institute accepts no vendor sponsorship, holds no vendor equity and takes no referral fees.