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.
Authors
- Farshid Amirabdollahian
- Yi Sun (ORCID: https://orcid.org/0000-0002-8019-6765)
- Alok Kumar Sahu
- A. C. Wren
- Eamonn Swanton
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.acl-industry.84
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00