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CLARITY: Clinical Assistant for Routing, Inference, and Triage

Published: October 2, 2025 | arXiv ID: 2510.02463v2

By: Vladimir Shaposhnikov , Aleksandr Nesterov , Ilia Kopanichuk and more

Potential Business Impact:

Helps doctors find the right specialist faster.

Business Areas:
Natural Language Processing Artificial Intelligence, Data and Analytics, Software

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.

Page Count
18 pages

Category
Computer Science:
Computation and Language