Healthcare

Evidence-verified AI governance for clinical, administrative, and payer workflows where unsupported claims create patient and legal risk.

What Ontic Does Here

Ontic inserts a deterministic enforcement layer between healthcare operators and model output. Clinical and administrative claims are checked against approved protocols, policy, and source records before emission, so teams can act on AI-assisted output with evidentiary confidence.

Verifies care-adjacent AI assertions against approved clinical guidance and local policy
Constrains patient-facing responses when evidence is incomplete or conflicting
Enforces role and relationship boundaries for PHI-sensitive retrieval and output
Maintains full citation lineage for each emitted claim across care and claims flows
Supports deterministic replay for adverse-event and compliance investigations

Regulatory Context

Healthcare AI systems operate in a tightly governed environment where privacy, safety, and documentation standards are enforceable obligations.

HIPAA and HITECH require strict controls over protected health information access and disclosure
CMS documentation and billing integrity rules demand traceable support for operational decisions
FDA guidance and SaMD expectations increase scrutiny of software-influenced clinical pathways
Joint Commission and accreditation requirements emphasize reproducible safety processes
State privacy and patient-rights statutes add jurisdiction-specific governance obligations