Healthcare organizations using AI for clinical decisions, prior authorization, or medical device operation need to prove which model version and policy rules we
Healthcare AI systems evolve continuously. Models are retrained, clinical policies are updated, confidence thresholds are adjusted, and feature sets change. When a regulator, auditor, or plaintiff asks "what was the AI doing on March 15 at 2:30 PM when it recommended denying that authorization?", the organization needs to answer with specificity: which exact model binary was running, which clinical policy rules were in effect, and what confidence thresholds were configured.
Most organizations cannot answer this question with certainty. They can check deployment logs to see which model was deployed at the time. But deployment logs are mutable, do not capture edge device state, and cannot prove that the deployed version was the version that actually ran for a specific inference.
InferTrust™ solves this by embedding a cryptographic hash of the exact model binary (the Model Version ID, or MID) into every decision record. This hash is computed from the model binary itself, not from a version label or deployment tag. If the model binary changes by even a single byte, the hash changes. This means the decision record contains mathematical proof of exactly which model produced the output, not which model was supposed to be running, but which model actually ran.
The same principle applies to clinical policies. InferTrust™ computes a Policy Version Hash (PVH) from the active policy ruleset (confidence thresholds, escalation criteria, allowed decision actions) and embeds it in every decision record. This proves which rules the model was operating under at the time of each inference. When policies are updated, the PVH changes, creating a clear, verifiable boundary between policy versions in the audit trail.
FDA SaMD regulations require traceability of algorithm modifications through Predetermined Change Control Plans. HIPAA enforcement increasingly scrutinizes the decision basis for AI-assisted clinical determinations. CMS audits of health plan AI require demonstrating that current medical necessity criteria were applied. In all of these contexts, InferTrust™ decision records provide the definitive answer: this exact model, running this exact policy, produced this exact output at this exact time. The proof is mathematical, not narrative.