RUAIH certification requirements — what is known

Start with the honest sentence most pages on this subject omit: the RUAIH standards manual is not public, and any article listing “the RUAIH requirements” as settled fact is reciting inference as text. This page separates the two.

What the published record supports

The certification’s announcement names five focus areas, which map directly onto the September 2025 Joint Commission–CHAI guidance:

1. Governance — an accountable structure: policy, committee, inventory, executive reporting, resourcing.
2. Effective data management — how data enters and leaves AI systems, minimum-necessary use, security controls.
3. Risk and bias reduction — risk tiering at intake, bias and equity assessment, vendor due diligence.
4. Monitoring, evaluating and validating — local validation before deployment, performance monitoring against thresholds, safety event reporting.
5. Transparency, education and training — patient disclosure and role-specific workforce training.

Each area breaks into working controls — the Institute’s fifteen-control crosswalk maps every one to its CHAI playbook and NIST AI RMF function, with the evidence artifact an assessor would ask to see.

What is not stated anywhere yet

Scoring thresholds. Survey mechanics. Documentation formats. Renewal cycles. Fees. None of it is published, and this page will update when it is — the review date above is the promise.

The planning posture

Prepare against the consensus, not the unpublished text. The consensus evidence divides into what can be drafted (charters, policies, procedures — a week each) and what can only accumulate (monitoring history, training records, committee minutes). The preparation guide orders the work by which clocks cannot be started retroactively.