Clinical decision support systems guide treatment decisions that carry liability. InferTrust™ creates tamper-evident records of every AI recommendation and esca
Clinical Decision Support (CDS) systems generate alerts, recommendations, and risk scores that influence clinical workflows across the care continuum. As these systems incorporate AI and machine learning, the decisions they drive become both more powerful and harder to audit after the fact.
InferTrust™ operates at the point of inference within CDS workflows. When a CDS system generates an AI-assisted recommendation (a sepsis risk alert, a drug interaction flag, a deterioration score), InferTrust™ captures the decision event: the model that produced it, the policy and threshold in effect, the resulting action (CLINICAL_FLAG, CLINICAL_CLEAR, or CLINICAL_ESCALATE), and the timestamp bound into a cryptographic chain.
Alert fatigue is a well-documented challenge in clinical environments. When clinicians override or dismiss CDS alerts, organizations need to understand the pattern: was the AI producing too many false positives? Was a specific threshold misconfigured? InferTrust™'s decision records provide the verifiable data to answer these questions, supporting both clinical quality improvement and regulatory compliance.
As accreditation bodies and CMS increase their focus on AI governance in clinical settings, organizations with cryptographic decision records can demonstrate oversight capabilities that go beyond what traditional audit logs provide. InferTrust™ Clinical positions health systems to meet emerging AI governance requirements with evidence, not assertions.