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FDE Playbook
HealthcareHospital network · 5 hospitals · 800 clinicians

Healthcare Triage Assistant

Customer brief

A hospital network wants an AI triage assistant that helps clinicians prioritise patient cases in the ED based on symptoms, vitals and history. Must not give diagnoses — only triage priority. Must integrate with the EHR.

Discovery questions

Ask these before designing a solution.

  • 1What is the EHR system and does it expose an API?
  • 2What is the triage protocol (ESI 5-level)?
  • 3Who is the user — triage nurse, attending physician, both?
  • 4What is the acceptable false-negative rate for high-acuity cases?
  • 5Is PHI in scope? If so, what is the BAA with the model provider?
  • 6What is the regulatory classification (FDA SaMD, clinical decision support)?
  • 7How will clinicians override the system, and is override logged?
  • 8What is the uptime requirement — is this life-critical or assistive?
Constraints
  • PHI in scope — BAA required with model provider
  • No diagnosis — triage priority only
  • EHR integration via HL7 FHIR
  • Audit log of every triage decision and clinician override
  • High-acuity false-negative rate < 1%
  • 99.95% uptime SLA
  • Latency < 3s for triage suggestion
Requirements
  • FHIR integration to pull patient context
  • Structured triage output with priority + rationale + confidence
  • Confidence threshold for escalation to attending
  • Override logging with reason
  • BAA-covered model provider or on-prem model
  • Input guardrails (no free-text diagnoses from clinicians into prompt)
  • Output guardrails (no diagnosis language)
  • Online monitoring of false-negative rate

FDE Simulator

Decision 1 of 4

System Scope

Is this a decision support tool or an autonomous triage system?