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Healthcare
AI-Powered Patient Triage for Acme Health
Acme Health · November 15, 2025
The Challenge
Acme Health’s emergency department was struggling with increasing patient volumes and inconsistent triage decisions. Wait times averaged over 90 minutes, and critical cases were sometimes delayed behind less urgent ones.
Our Approach
We deployed a fleet of AI agents to build an intelligent triage system:
- Data analysis agents reviewed 50,000+ historical patient records to identify patterns
- ML pipeline agents trained and validated classification models
- Integration agents connected the system to existing EMR workflows
- Testing agents ensured 99.9% uptime and accuracy benchmarks
Results
- 40% reduction in average wait times
- 95% accuracy in severity classification
- Zero missed critical cases in first 6 months
- Staff satisfaction increased by 35%
Technical Stack
The solution was built with Python, TensorFlow, and deployed on Azure Kubernetes Service with real-time monitoring dashboards.