From Passive to Proactive: A Hierarchical Multi-Agent Framework for Automated Medical Pre-Consultation

Researchers developed a multi-agent AI system for medical triage that uses three specialized agents to improve patient classification accuracy. The system achieved 89.6% accuracy in primary department classification and 74.3% in secondary classification, addressing healthcare staffing shortages through automated pre-consultation.