Nearly 3,000
organizations across the CHAI community
CHAI AI Governance Standard
The Governance Standard for Responsible Health AI
CognitiveView is a CHAI Implementation Partner helping HealthTech companies implement the CHAI AI Governance Standard and helping hospitals and health systems assess AI vendors before adoption.
Implementation PartnerImplementing all 40 CHAI governance controls
CHAI Governance
- GovernanceComplete
- Risk ManagementComplete
- Data ManagementComplete
- Testing & ValidationComplete
- EvidenceComplete
- AI ReadinessComplete
Built by the Health AI Community
CHAI brings together health systems, industry, academia, government, patient advocacy, and other stakeholders to build consensus around responsible AI in healthcare.
218
health systems, of which 14% are academic medical centers
75%
industry members, of which about 25% are startups
100+
philanthropic, professional advocacy, medical specialty, and standards organizations
Why a Common Health AI Governance Standard Matters
Healthcare AI is moving from experimentation into clinical, operational, and patient-facing workflows. A common standard helps both innovators and health systems build and adopt AI responsibly.
For HealthTech Companies
- Demonstrate responsible AI
- Manage risk across the lifecycle
- Build evidence of implementation
- Accelerate adoption with hospitals
For Hospitals & Health Systems
- Evaluate vendors consistently
- Understand risks and controls
- Review evidence and testing
- Make informed adoption decisions
What Does CHAI Governance Cover?
CHAI organizes responsible health AI governance into eight areas spanning policy, people, lifecycle, risk, data, third parties, and learning.
1. AI Policy
Establish policies and governance expectations for responsible AI.
3 controls
2. Organizational Structures
Define governance roles, accountability, and oversight.
4 controls
3. Organizational Resources
Provide the people and capabilities needed for responsible AI.
10 controls
4. Responsible AI Lifecycle Management and Use
Manage AI responsibly from planning through ongoing use.
6 controls
5. Risk and Impact Assessments
Identify, assess, and address AI risks and impacts.
5 controls
6. Responsible Data Management and Use
Manage data responsibly across its AI lifecycle.
5 controls
7. Third Party Management
Assess and govern third-party AI systems and relationships.
1 control
8. Education, Training and Feedback
Build AI governance knowledge and gather ongoing feedback.
6 controls
CHAI Health AI Use Cases
The CHAI framework applies across real healthcare AI systems and workflows.
Mental Health Chatbot
Clinical Trials
Ambient AI
Agentic AI
EHR Information Retrieval
Clinical Decision Support
For HealthTech Companies
Implement the CHAI governance controls, build evidence, and demonstrate AI readiness.
For Hospitals & Health Systems
Assess AI vendors using a consistent governance standard and make informed adoption decisions.
From Standard to AI Readiness
- Implement Controls
- Build Evidence
- Test & Validate
- AI Readiness Audit
- Assurance
- Continuous Governance