Intelligent Patient Triage Platform
MedTech AI
AI-native triage that assesses symptoms in real time and reduces ER wait times by 40%.
Overview
Project Overview
MedTech AI operates a network of 45+ hospital emergency departments across the Southeast US. Overcrowding and inconsistent triage decisions were leading to extended wait times, patient dissatisfaction, and adverse clinical outcomes.
AgilizTech built an AI-native triage system that assesses patient symptoms in real time using structured clinical data and natural language inputs, routes cases to the appropriate specialist, and continuously learns from outcomes — reducing ER wait times by 40%.
Industry
Healthcare
Timeline
16 weeks
Tech Stack
The Challenge
What problems needed solving?
Inconsistent Triage Decisions
Nurse-led triage varied significantly by shift, experience level, and facility — resulting in 18% of patients being assigned incorrect acuity levels.
Extended Wait Times
Average ER wait time exceeded 4.5 hours, with high-acuity patients sometimes waiting 90+ minutes for specialist assessment.
Information Silos
Patient history, medications, and prior visits were locked in separate EHR modules that triage nurses couldn't access quickly during intake.
Resource Allocation Gaps
Without predictive demand signals, departments couldn't proactively staff for surges, leading to chronic understaffing during peak hours.
The Solution
How AgilizTech delivered results
AI-Powered Symptom Assessment
Deployed a clinical NLP engine that processes patient-reported symptoms, vitals, and medical history to generate evidence-based acuity scores in under 30 seconds.
Intelligent Specialist Routing
Built a routing algorithm that matches patient acuity, condition type, and specialist availability to assign cases to the optimal care pathway automatically.
Unified Patient Context Layer
Integrated with 6 EHR systems via FHIR to surface a consolidated patient snapshot — history, medications, allergies, and prior visits — at the point of triage.
Predictive Demand Dashboard
Created a real-time dashboard that forecasts ER volume 4-8 hours ahead using historical patterns, weather data, and regional health signals.
The Benefits
Measurable business impact
40%
Wait Time Reduction
Average ER wait time dropped from 4.5 hours to 2.7 hours across the network.
96.8%
Triage Accuracy
Correct acuity assignment rate, up from 82% — reducing mis-triage incidents by 83%.
2.3x
Patient Throughput
Increase in patients triaged per hour without additional nursing staff.
+34pts
Patient Satisfaction
Net Promoter Score improvement driven by faster care and better communication.
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