OccuTriage: An AI Agent Orchestration Framework for Occupational Health Triage Prediction

Occupational Health (OH) triage is a systematic process for evaluating and prioritising workplace health concerns to determine appropriate care and interventions. This research addresses critical triage challenges through our novel AI agent orchestration framework, Occu-Triage, developed in collaboration with Heales Medical 1 . Our framework simulates healthcare professionals' reasoning using specialized LLM agents, retrieval augmentation with domain-specific knowledge, and a bidirectional decision architecture. Experimental evaluation on 2,589 OH cases demonstrates OccuTriage outperforms single-agent approaches with a 20.16% average discordance rate compared to baseline rates of 43.05%, while matching or exceeding human expert performance (25.11%). The system excels in reducing under-triage rates, achieving 9.84% and 3.1% for appointment and assessor type decisions respectively. These results establish OccuTriage's efficacy in performing complex OH triage while maintaining safety and optimizing resource allocation.