AI-Assisted Patient Triage System
Built an AI triage system that reduced patient wait times by 45% and improved critical case identification by 30%.
45%
Wait Time Reduction
30%
Critical ID Improvement
+60%
Triage Consistency
The Challenge
A hospital network struggled with emergency department overcrowding and inconsistent triage prioritization. Patients with urgent conditions sometimes waited too long while less critical cases consumed resources. The existing manual triage process was subjective and varied significantly across staff shifts.
Our Solution
We built an AI-assisted triage system that analyzes patient symptoms, vital signs, and medical history to provide standardized severity assessments and recommended care pathways. The system integrates with the hospital EHR, assists nurses with evidence-based triage decisions, and dynamically reprioritizes the queue as new patients arrive or conditions change.
Technologies used
Results
- Average patient wait time reduced by 45%
- Critical case identification improved by 30%
- Triage consistency across shifts improved by 60%
- Staff satisfaction with workflow increased significantly
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