Patient triage automation that reduces wait times and improves care quality through intelligent decision-making.
A major hospital network struggled with patient triage bottlenecks, leading to long wait times and delayed care. Manual triage processes were inconsistent and couldn't scale with patient volume, especially during peak hours.
Developed an intelligent agent that analyzes patient symptoms, medical history, and risk factors to provide accurate triage recommendations in seconds.
Natural language processing enables patients to describe symptoms conversationally, while the agent extracts key information and prioritizes cases based on urgency.
Seamlessly integrates with existing EHR systems, ensuring continuity of care and maintaining HIPAA compliance throughout all interactions.
The AI healthcare agent reduced triage time by 75% while maintaining 95% accuracy in urgency assessment. Patients receive immediate attention, and healthcare staff can focus on critical cases. The system operates 24/7, handling thousands of patient interactions daily.