Important: AegisTrace provides evidence and analysis support. It does not determine compliance, violations, or liability. Demonstration visuals and data.
Healthcare — Triage Override
AI triage recommendation overruled by clinician. Shows partial HITL with unknowns in decision rationale.
Metadata Source
Frontend preview definition
Evidence Inputs
Preview only
Execution State
Needs backend scenario pack
What Happened
An AI triage system recommended a patient for non-urgent care. A clinician reviewed the case and overrode the recommendation, escalating the patient to urgent care. The reconstruction shows the AI's triage logic, the clinician's override, and explicit unknowns regarding the clinician's full rationale due to incomplete logging.
What This Demonstrates
- •Human override in safety-critical healthcare context
- •Partial evidence with acknowledged gaps (INFERRED rationale)
- •Temporal reconstruction with missing data points
- •Compliance-ready evidence chain despite imperfect logs
What This Does NOT Claim
- •Does not determine medical correctness of either decision
- •Does not assess patient outcome or care quality
- •Does not evaluate adherence to clinical guidelines
This scenario currently displays preview data only. Add a matching backend scenario pack to enable execution.
Triage AI System
Patient symptoms evaluated. Initial assessment: non-urgent care recommended.
Dr. J. Kim (Emergency Physician)
Clinician reviewed AI recommendation. Override initiated based on clinical judgment.
Dr. J. Kim (Emergency Physician)
Patient escalated to urgent care. Full rationale not captured in structured log.
Reconstructed from surrounding evidence, not directly observed.
EHR System
Patient record updated with urgent care status. Triage override logged.