[2511.01445] From Passive to Proactive: A Hierarchical Multi-Agent Framework for Automated Medical Pre-Consultation

Computer Science > Artificial Intelligence arXiv:2511.01445 (cs) [Submitted on 3 Nov 2025 (v1), last revised 2 Mar 2026 (this version, v2)] Title:From Passive to Proactive: A Hierarchical Multi-Agent Framework for Automated Medical Pre-Consultation Authors:ChengZhang Yu, YingRu He, Hongyan Cheng, nuo Cheng, Zhixing Liu, Dongxu Mu, Zhangrui Shen Yang Gao, and Zhanpeng Jin View a PDF of the paper titled From Passive to Proactive: A Hierarchical Multi-Agent Framework for Automated Medical Pre-Consultation, by ChengZhang Yu and YingRu He and Hongyan Cheng and nuo Cheng and Zhixing Liu and Dongxu Mu and Zhangrui Shen Yang Gao and and Zhanpeng Jin View PDF HTML (experimental) Abstract:The post-pandemic surge in healthcare demand, coupled with critical nursing shortages, has placed unprecedented pressure on medical triage systems, necessitating innovative AI-driven solutions. We present a multi-agent interactive intelligent system for medical triage that addresses three fundamental challenges in current AI-based triage systems: inadequate medical specialization leading to misclassification, heterogeneous department structures across healthcare institutions, and inefficient detail-oriented questioning that impedes rapid triage decisions. Our system employs three specialized agents--RecipientAgent, InquirerAgent, and DepartmentAgent--that collaborate through Inquiry Guidance mechanism and Classification Guidance Mechanism to transform unstructured patient symptoms into accurate dep...