CLARITY: Clinical Assistant for Routing, Inference, and Triage
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Abstract (arXiv)
We present CLARITY (Clinical Assistant for Routing, Inference and Triage), an AI-driven platform designed to facilitate patient-to-specialist routing, clinical consultations, and severity assessment of patient conditions. Its hybrid architecture combines a Finite State Machine (FSM) for structured dialogue flows with collaborative agents that employ Large Language Model (LLM) to analyze symptoms and prioritize referrals to appropriate specialists. Built on a modular microservices framework, CLARITY ensures safe, efficient, and robust performance, flexible and readily scalable to meet the demands of existing workflows and IT solutions in healthcare. We report integration of our clinical assistant into a large-scale national interhospital platform, with more than 55,000 content-rich user dialogues completed within the two months of deployment, 2,500 of which were expert-annotated for subsequent validation. The validation results show that CLARITY surpasses human-level performance in terms of the first-attempt routing precision, naturally requiring up to 3 times shorter duration of the consultation than with a human.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 10 of its 33 references that are in the map. First posted on arXiv 2 Oct 2025.
Builds on
10 of 33 references.
References · 10
- 2022Large Language Models Encode Clinical Knowledgecited by 1,807
- 2023MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoningcited by 311
- 2023Large language models in healthcare and medical domain: A reviewcited by 126
- 2023A Survey of Large Language Models in Medicine: Progress, Application, and Challengecited by 123
- 2023DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultationcited by 89
- 2024CoD, Towards an Interpretable Medical Agent using Chain of Diagnosiscited by 43
- 2021A preliminary study on evaluating Consultation Notes with Post-Editingcited by 10
- 2022NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named Entitiescited by 10
- 2024Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challengescited by 5
- 2024Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in Healthcarecited by 4
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Citing papers per year: 2026: 2.
2 papers.