AI governance for healthcare.

Healthcare AI doesn't fail slowly. A clinical decision support system that hallucinates a drug interaction, a prior authorization agent that applies criteria inconsistently — the patient risk arrives before the compliance review does. KoraSafe™ helps healthcare teams govern the AI that touches patient outcomes: continuous monitoring for hallucination and PHI exposure, with evidence that satisfies your compliance program and your auditors.

Regulatory landscape

  • EU AI Act (Annex III) classifies medical devices and clinical decision-support AI as high-risk systems requiring full conformity assessment
  • HIPAA mandates strict patient data protections that extend to all AI systems processing protected health information (PHI)
  • FDA AI/ML Guidance establishes evolving framework for AI as Software as a Medical Device (SaMD) with pre-market review pathways
  • GDPR (Special Category) health data receives heightened protection - explicit consent or specific legal basis required for AI processing
  • MDR (EU) Medical Devices Regulation adds additional layer of compliance for AI-powered diagnostic tools

Key challenges

  • Clinical AI classified as high-risk - safety-critical systems require rigorous testing, validation, and ongoing monitoring before and after deployment
  • Health data is "special category" under GDPR - heightened protection requirements make AI training and inference significantly more complex
  • HIPAA compliance for patient-facing AI agents requires end-to-end encryption, access controls, and audit trails for every interaction
  • FDA evolving guidance on AI as medical device (SaMD) creates regulatory uncertainty - what's compliant today may not be tomorrow
  • Hallucination risk in clinical AI is literally life-threatening - a fabricated drug interaction or dosage could cause patient harm

How KoraSafe™ helps

Risk classification identifies clinical AI as high-risk immediately, mapping to EU AI Act Annex III and FDA SaMD categories
Hallucination Detector guardian agent cross-references clinical AI outputs against medical knowledge bases to flag fabrications
Agent Evals (EDD pipeline) scores clinical AI on accuracy (20%), safety (20%), and auditability (15%) before deployment
Governance maturity checklist ensures conformity assessment readiness across each maturity dimension
MCP API allows clinical AI agents to self-check compliance status before making patient recommendations
42% reduction in documentation time (industry benchmark) --- freeing clinical teams to focus on patient care

Manifest status

Sector-pack cards stay aligned with the production manifest set.

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Cross-jurisdiction conflict resolution

KoraSafe™ flags overlapping regulatory duties and carries the resolution path into policy controls.

All Solutions