Automated Patient Triage System for Regional Hospital Network
The Challenge
With patient volumes surging and staffing shortages reaching critical levels, the client’s emergency departments were overwhelmed. The manual triage process was slow and prone to human error under pressure, leading to dangerously long wait times for critical care. They needed a way to rapidly assess and prioritize incoming patients to ensure resources were allocated where they were needed most.
"In emergency medicine, time isn’t just money—it’s lives."
Our Solution
We developed an AI-powered triage assistant utilizing advanced Natural Language Processing (NLP) to interpret patient symptoms and medical history. Accessible via kiosk and mobile app, the system conducts a preliminary assessment, assigns a severity score based on the Emergency Severity Index (ESI), and routes data directly to the ER dashboard. This allows nursing staff to prepare for high-acuity cases before the patient even reaches the desk.
Measurable Impact
The system has become an indispensable part of the ER workflow. By automating the initial data gathering and risk stratification, nurses can focus immediately on patient care rather than administrative intake. The hospital has seen a significant drop in "left without being seen" rates and a marked improvement in patient satisfaction scores.
"This technology has given our nurses their time back, allowing them to do what they do best: care for patients."
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