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Clinical AI GovernanceAmbient documentation scribe

Ambient documentation scribe
ScribeWell (demo vendor) · v4.1 · Ambulatory · Clinical documentation · deployed 2025-12-01
moderate Active

Performance against the locked baseline

baseline 0.88 · floor at −12% · locked 2026-08-20
QuarterAUROCDecaySens/SpecParity gapVerdictAttested by
2026-Q3 0.871 1.02% — — clean neel@healthcareaiops.com
2026-08-20
2026-Q2 0.868 1.36% — — clean neel@healthcareaiops.com
2026-08-20
2026-Q1 0.872 0.91% — — clean neel@healthcareaiops.com
2026-08-20

Quarterly attestation

The number, on the record, once a quarter. Breach the threshold on an active model and suspension is automatic — continuation is what needs a signature.

Lock a baseline

Insert-only: a new lock supersedes the old on the record, never edits it. The threshold you choose is the automatic suspension floor.

Lock an equity threshold and a quarterly parity gap above it suspends the model automatically — the same enforcement as decay. The headline metric holding while a subgroup slides is exactly the failure AUROC alone cannot see.

Accountable sign-offs

status changes need an org admin

You sign as who you are signed in as — email from the session, your stated role, your rationale, and a hash anchored in the audit chain. Deployment, suspension, reactivation and retirement require an organisation administrator.

ActionSigned byRationaleSignature
approve deployment
2025-10-16
 neel@healthcareaiops.com
COO
 Pilot across 14 clinicians showed stable note quality; review-and-sign step retained as hard requirement. 4c10266a6361…

The fifteen-control checklist

8/15

The Institute's published RUAIH / CHAI / NIST crosswalk, as a working checklist for this model. Change a status and it saves — every change lands in the audit chain. 'Not started' is the honest default; the binder shows the gaps.

RUAIH 1 — Governance
The AI governance committee
CHAI: Organizational structure · NIST: GOVERN · evidence: AI governance committee charter
The organizational AI policy
CHAI: Organizational AI policy · NIST: GOVERN · evidence: Organizational AI policy
The AI inventory and product registry
CHAI: Responsible AI lifecycle management · NIST: MAP · evidence: AI use case registry
Board and executive reporting
CHAI: Organizational resources · NIST: GOVERN · evidence: Board reporting pack
Resourcing the governance programme
CHAI: Organizational resources · NIST: GOVERN · evidence: Programme resourcing plan
RUAIH 2 — Effective data management
Data governance and minimum necessary
CHAI: Responsible data management and use · NIST: MAP · evidence: Data use agreement and access policy
Data security controls for AI systems
CHAI: Responsible data management and use · NIST: GOVERN · evidence: Access control and audit log review record
RUAIH 3 — Risk and bias reduction
The risk-tiering method
CHAI: Risk and impact assessments · NIST: MAP · evidence: Intake and risk-tiering procedure
Bias and equity assessment
CHAI: Risk and impact assessments · NIST: MEASURE · evidence: Local bias assessment
Third-party and vendor due diligence
CHAI: Third-party management · NIST: GOVERN · evidence: Vendor AI disclosure request and completed questionnaire
RUAIH 4 — Monitoring, evaluating and validating safety performance, effectiveness and responsible use
Local validation before deployment
CHAI: Responsible AI lifecycle management · NIST: MEASURE · evidence: Local validation study protocol and result
Post-deployment monitoring
CHAI: Responsible AI lifecycle management · NIST: MEASURE · evidence: Monitoring plan with named thresholds
AI safety event reporting
CHAI: Responsible AI lifecycle management · NIST: MANAGE · evidence: AI safety event reporting route
RUAIH 5 — Transparency, education and training
Patient disclosure and consent
CHAI: Education, training and feedback · NIST: GOVERN · evidence: Patient disclosure standard
Role-specific workforce training
CHAI: Education, training and feedback · NIST: GOVERN · evidence: Training curriculum and completion records

Survey binder

The full governance record as one download — assembled live, with the audit chain's verification verdict inside. This is the document you hand the surveyor.

Export survey binder

Audit trail — this model

compliance mapped — Ambient documentation scribe
neel@healthcareaiops.com · 2025-10-22T11:00 UTC · nist-ai-rmf GOVERN-1.2 → in_progress
compliance mapped — Ambient documentation scribe
neel@healthcareaiops.com · 2025-10-21T14:00 UTC · ruaih-2026 RUAIH-DIS-03 → implemented
compliance mapped — Ambient documentation scribe
neel@healthcareaiops.com · 2025-10-20T17:00 UTC · ruaih-2026 RUAIH-GOV-01 → implemented
drift attested — Ambient documentation scribe
neel@healthcareaiops.com · 2025-10-19T20:00 UTC · 2026-Q3: AUROC 0.871 vs baseline 0.88, decay 1.02%
drift attested — Ambient documentation scribe
neel@healthcareaiops.com · 2025-10-19T13:00 UTC · 2026-Q2: AUROC 0.868 vs baseline 0.88, decay 1.36%
drift attested — Ambient documentation scribe
neel@healthcareaiops.com · 2025-10-18T05:00 UTC · 2026-Q1: AUROC 0.872 vs baseline 0.88, decay 0.91%
active — Ambient documentation scribe
neel@healthcareaiops.com · 2025-10-17T23:00 UTC · under_review → active: approve_deployment signed by neel@healthcareaiops.com as coo
approve deployment — Ambient documentation scribe
neel@healthcareaiops.com · 2025-10-17T06:00 UTC · signed as coo, sig 4c10266a63616e60716dd476f5dd0704bb9d3d4663b93cc1687b5a1c66b23843: Pilot
under review — Ambient documentation scribe
neel@healthcareaiops.com · 2025-10-16T16:00 UTC · proposed → under_review: baseline locked, awaiting deployment sign-off
baseline locked — Ambient documentation scribe
neel@healthcareaiops.com · 2025-10-15T21:00 UTC · AUROC 0.88, threshold 12%, evaluated 2025-11-15
model registered — Ambient documentation scribe
neel@healthcareaiops.com · 2025-10-15T01:00 UTC · Ambient documentation scribe (ScribeWell (demo vendor)) — moderate risk, Ambulatory