AI governance for hospitals · free

AI initiatives, from idea to approved oversight.

AI Governance gives hospital AI councils a shared process for intake, assessment, risk management, approval, launch, and monitoring. Every AI tool stays visible from request through oversight.

Riverside Health System
Free
CarePilot Discharge Assistant
Care Management
Review
Access Optimizer
Patient Access
Launch
Ambient Visit Notes
Primary Care
Evidence
Claims Copilot
Revenue Cycle
Intake
AI council intakeVendor risk reviewPHI safeguardsTeam review checklistsApproval routingLaunch trackingMonitoring & re-reviewVendor assessmentAI council intakeVendor risk reviewPHI safeguardsTeam review checklistsApproval routingLaunch trackingMonitoring & re-reviewVendor assessment

Why it helps

Leverage what hospitals learn together.

AI oversight improves when hospitals share practice, ask harder security questions, watch the news that affects AI risk, and keep vendor assessments current as posture changes.

Shared hospital experience

Draw on what peer hospitals learn as they govern AI. The framework improves with real operating practice, not a single organization's checklist.

Harder security questions

Ask the sharper questions that matter for AI vendors: data use, model controls, subprocessors, and evidence that stands up in a council review.

Monitor AI news regularly

Stay current on AI security and vendor developments that affect tools already in your portfolio, so oversight is not a one-time review.

Keep vendors current

Vendor security posture changes over time. Keep assessments and evidence up to date so your team is not working from last year's answers.

The full lifecycle

One workspace for every stage of an AI initiative.

Walk through this lifecycle with realistic sample data from a hospital AI council.

01

Add AI Tool

One intake path for internal and vendor-provided AI tools.

02

Assessment

Collect structured evidence once and reuse it across reviews.

03

Risk Management

Route team checklists by risk tier, PHI, and clinical impact.

04

Approval

Route to privacy, security, clinical, compliance, legal, and quality.

05

Launch

Track readiness, rollback criteria, and launch sign-off.

06

Monitoring

Track monitoring commitments and trigger re-review when conditions change.

Inside the pipeline

See what is in flight, what needs review, and what changed.

A snapshot of the demo AI council pipeline. Each initiative shows its owner, vendor, risk tier, and next step.

CarePilot Discharge Assistant
Care Management · Northstar AI
Dr. Maya Patel
High
Review
78%
Access Optimizer
Patient Access · Internal analytics team
Nina Brooks
Moderate
Launch
94%
Ambient Visit Notes
Primary Care · ScribeWorks
Dr. Lena Ortiz
High
Evidence
52%
Claims Copilot
Revenue Cycle · CipherHealth Labs
Marcus Lee
Moderate
Intake
30%

Featured capability

Assessment turns AI tool review into reusable evidence.

Avoid asking the same questions in a new spreadsheet each time. A standard assessment profile feeds risk checklists, approval, launch, and ongoing monitoring.

AI functionality and intended use
Model hosting and vendor controls
PHI, retention, and training-data use
Evaluation, monitoring, and escalation plan
$0
Free forever · CipherHealth sponsored
8
Initiatives in one pipeline
72%
Organization readiness
6
Lifecycle stages tracked

Explore

More about AI Governance.

Give your AI council a free starting point.

AI Governance is free forever, sponsored by CipherHealth. Hospitals can standardize oversight as more AI tools and vendors arrive.

AI Governance: hospital AI oversight