AI-Powered Emergency Triage for Regional Health Network
Cutting emergency department wait times by 34% with intelligent triage automation
The Challenge
A regional health network operating across 12 hospitals was struggling with inconsistent triage outcomes and growing ED wait times. Triage nurses faced mounting pressure during peak periods, leading to patient safety concerns and staff burnout. Average time-to-assessment exceeded 22 minutes.
Our Approach
We developed an AI-assisted triage system that analyses presenting symptoms, vital signs, and patient history in real-time. The system integrates with existing EMR platforms to surface relevant clinical context and recommends Australasian Triage Scale (ATS) categories, with clinicians retaining final decision authority.
The Outcome
Average time-to-assessment dropped from 22 minutes to 14.5 minutes. Triage consistency improved by 28% across all sites, and the system flagged 96.2% of critical cases correctly. Staff satisfaction scores increased markedly as cognitive load during peak periods reduced.
Wait Time Reduction
Critical Case Detection
Triage Consistency
Technology Stack
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