When clinicians work alongside AI, the medical record goes silent on the most important part: how the decision was actually made. Evidify captures the full decision trajectory — the clinician's independent judgment, the AI recommendation, and the reasoning behind agreement or override — in a structured, tamper-evident record.
Over 500 US hospitals have deployed FDA-cleared diagnostic AI. Clinicians face a legal double bind: potential liability for following an incorrect AI recommendation and for overriding a correct one. Yet the medical record captures neither scenario.
When an adverse outcome involves AI, the medical record does not show whether the clinician saw the AI recommendation, agreed with it, or overrode it — or why.
Clinicians can be held liable for following AI that was wrong and for overriding AI that was right. Structured documentation is the only available defense for either scenario.
The EU AI Act requires human oversight documentation for high-risk AI systems by August 2026. No insurer or professional society has published a compliance-ready standard.
Evidify instruments the clinician-AI interaction as a structured, auditable record — from independent human assessment through AI disclosure to final clinical decision.
The clinician's diagnostic impression is captured and locked before any AI output is revealed, establishing that clinical judgment preceded AI influence.
The AI recommendation is presented through a controlled, gate-enforced protocol with comprehension verification and error rate transparency.
When the clinician's final decision differs from AI, structured reason codes and free-text rationale create a defensible record of deliberate clinical reasoning.
Every interaction is logged to a cryptographic hash chain with sequential numbering, content hashing, and timestamp verification — research-grade and legally defensible.
Evidify is in active development with academic validation underway and regulatory alignment across US and EU frameworks.
Platform demonstrated to academic radiology human factors researchers. Pilot study discussions underway at a major research university.
System demonstration and poster presentation submitted to AMIA 2026 Annual Symposium.
Patent pending on sequential disclosure methodology for clinical AI governance. U.S. App. No. 63/987,880.
Architecture maps to HIPAA audit controls, EU AI Act Articles 12 and 14, GDPR, and 21 CFR Part 11.
Evidify is seeking research partners, clinical validation sites, and strategic collaborators in malpractice insurance, health system risk management, and regulatory compliance.
If you're working on AI governance, documentation standards, or clinician-AI interaction research, I'd welcome a conversation.