Clinical decision support, triage, and diagnostic AI now shape care. When an outcome is reviewed, for patient safety, liability, or audit, clinicians and hospitals need to show exactly what the system recommended, on what data, and when. AskLedger makes that record tamper-evident.
When an AI recommendation contributes to a clinical outcome, a faithful record of that recommendation matters for the patient, the clinician, the hospital's risk team, and any subsequent review. Ordinary logs can be edited and rarely capture the exact model version, precisely what a safety investigation needs.
The same receipt AskLedger signs to prove your AI savings seals each recommendation as a signed receipt that records hashes of the inputs and output, provable evidence without duplicating protected health information.
A review board asks precisely what the AI recommended and whether the clinician acted on it.
The model has since been updated; the original recommendation can't be reproduced.
The exact recommendation, inputs (by hash), and model version at the time, a clear factual basis for review.
Talk to us about evidencing decision support, triage, and diagnostic AI.