// AI w opiece zdrowotnej
AI w opiece zdrowotnej
evidence.
AI systems that support clinical decisions must be traceable, auditable, and provably used within their intended purpose. Attesto helps health organisations create verifiable evidence for AI decision support events — without requiring patient data to leave secure environments.
Clinical AI decision support proof
Record AI-assisted clinical recommendation events — model version, input type reference, output category, and recommendation context — without storing patient data.
Model version and dataset traceability
Prove which model version and validated dataset underpinned each clinical AI output — supporting post-market surveillance and incident investigation.
Human clinician override records
Capture clinician review, approval, or override events with signed receipts — demonstrating that human oversight was exercised for AI-assisted decisions.
Bias monitoring in diagnostics
Record model performance monitoring events and fairness checks as anchored audit records — supporting ongoing clinical AI surveillance obligations.
Regulatory approval chain
Document regulatory submission references, approval decisions, and post-approval change notifications as immutable proof objects.
Data minimisation proof
Demonstrate that Attesto records hashes and proof paths — not raw patient data — to satisfy privacy-by-design requirements under GDPR and clinical data regulations.