The complete AI triage platform for modern emergency care

AI Symptom Assessment

TriageDesk's clinical NLP engine processes patient-reported symptoms — whether entered via guided questionnaire, free-text, or nurse-assisted intake — and maps them to standardized clinical presentations. The system accounts for symptom combinations, onset timing, severity modifiers, and red-flag indicators to build a comprehensive symptom profile before scoring.

Use Cases

Acuity Scoring Engine

The scoring engine assigns ESI-aligned acuity levels by combining the symptom profile with patient history, vitals, medications, and known risk factors pulled from the connected EHR. Every score includes a clinical rationale summary so triage nurses can review and override with full context.

Use Cases

Smart Patient Routing

Once acuity is assigned, TriageDesk routes patients to the optimal care setting based on real-time bed availability, provider workload, department protocols, and patient preferences. Routing rules are fully configurable per facility and can account for fast-track eligibility, specialty consult needs, and observation criteria.

Use Cases

EHR Integration

TriageDesk connects bi-directionally with major EHR platforms via HL7 FHIR and ADT interfaces. Patient history, allergies, active medications, and prior encounter data are pulled automatically during triage. Acuity scores and routing decisions are written back to the patient chart for continuity.

Use Cases

Clinical Analytics Dashboard

Track triage performance across every dimension that matters — volume by acuity level, average triage-to-bed time, routing accuracy, high-risk flag rates, and provider workload. Dashboards are configurable by facility, department, shift, and time period, with exportable reports for quality committees and regulatory review.

Use Cases