AI Governance for Healthcare
Healthcare organizations face unique AI governance challenges at the intersection of patient safety, data privacy, and regulatory compliance. The primary driver is federal regulation under HIPAA and FDA guidance, which impose strict requirements on how AI processes protected health information and supports clinical decisions. A governance program must address vendor risk management, clinical validation workflows, and bias monitoring across all AI-enabled care pathways.
Key Regulations
- HIPAA Privacy and Security Rules
- FDA Guidance on AI/ML-Based Software as a Medical Device
- EU AI Act High-Risk Classification for Medical Devices
- ONC Health IT Certification Requirements
- 21st Century Cures Act Information Blocking Rules
Top AI Risks
- Patient data exposure through AI model training on protected health information
- Diagnostic bias in clinical decision support systems affecting patient outcomes
- Unauthorized sharing of PHI with third-party AI vendors
- Lack of clinician override capabilities in automated treatment recommendations
Policy Requirements
- AI vendor risk assessment with BAA verification for all tools processing PHI
- Clinical validation protocols for AI-assisted diagnostic and treatment tools
- Patient consent framework for AI-driven data processing and analytics
- Bias auditing procedures for clinical decision support algorithms
- Incident response plan specific to AI-related PHI breaches
- Clinician training requirements for AI tool usage and override procedures
PolicyGuard helps healthcare organizations map every AI tool to HIPAA requirements and FDA guidance with automated vendor risk assessments that verify BAA coverage. The platform generates audit-ready documentation for clinical AI validation, bias testing results, and PHI processing controls that satisfy both federal regulators and accreditation bodies.
