Post-deployment monitoring
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 | MEASURE |
The artifact: Monitoring plan with named thresholds
Who signs it: The operational owner of the workflow the tool sits in
What an assessor actually asks for
Metrics, thresholds, an owner and a review frequency, tiered by risk — and evidence that a review actually happened. A plan that says “monitored regularly” fails this row.
Why the mapping is not obvious
The guidance calls for an AI dashboard by name. The dashboard is the easy half. The half that fails is the decision rule attached to it, which neither CHAI nor the RUAIH summary specifies because it is inherently local.
The most common failure
Nobody owns the threshold. The dashboard exists, the metric drifts, and no one is accountable for the decision to pause the tool. Write down in advance the number at which you turn it off and the person who turns it off. That sentence is the difference between monitoring and watching.
Where this sits in the whole map
This is one control in the RUAIH ↔ CHAI ↔ NIST crosswalk. The artifact itself is specified at Monitoring plan with named thresholds.
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.