时间Time: 2026年6月11日上午9:30 (09:30 AM, 11 June, 2026)

地点Venue: 东校区财科馆317会议室(Room 317, E&F Hall, East Campus)

题目Title: Applications of LLM in Full-Cycle Outpatient Care

摘要Abstract: This study explores the practical applications of large language models (LLMs) in hybrid outpatient care, including pre-consultation triage, online and offline hypertension consultations, and standardized medical data collection. In the pre-consultation stage, LLM-guided intelligent triage significantly improves patients’ compliance with consultation instructions and optimizes pre-visit preparation behaviors. Focusing on hypertension diagnosis and treatment scenarios, this research leverages LLMs to identify clinical behavioral deviations among physicians, including the omission of key patient information, potential diagnostic negligence, and medication prescriptions inconsistent with official hypertension guidelines. The LLM system delivers real-time reminders to regulate non-standard clinical behaviors. Furthermore, this study designs and optimizes standardized medical recording templates assisted by LLMs, which streamlines patient information collection, reduces manual entry errors, and unifies outpatient documentation logic. The findings demonstrate that LLMs can effectively standardize doctor-patient interaction behaviors, rectify non-compliant clinical decisions, and enhance the overall standardization and efficiency of outpatient diagnosis and treatment workflows.

主讲人简介Bio of Speaker：

Dr.Yichuan Ding (丁弋川) is an Associate Professor at the Desautels Faculty of Management, McGill University, where he holds the title of Desautels Faculty Scholar and serves as the Academic Director of the Global Manufacturing and Supply Chain Management (GMSCM) Master's Program. He earned his Ph.D. in Management Science and Engineering from Stanford University in 2012. Dr. Ding's research focuses on applying operations research and data analytics to enhance the efficiency and equity of healthcare delivery systems. His research has been published in leading journals such as Operations Research, Mathematics of Operations Research, Manufacturing & Service Operations Management (M&SOM), and Production and Operations Management (POM). His work has been recognized with several honors, including winning the 2023 POMS College of Healthcare Operations Management Best Paper Competition and being named a finalist for the 2019 Pierskalla Best Paper Competition and the 2017 INFORMS Behavioral Operations Management Best Working Paper Competition. Dr. Ding currently serves as an Associate Editor for M&SOM, Service Science, and Operations Research Letters. He co-chaired the 2023 INFORMS MSOM Conference in Montreal. Dr. Ding served as President of the Canadian Operational Research Society (CORS) Queueing and Applied Probability SIG from 2022 to 2024 and currently serves as Vice-President and President-Elect of the CORS Health Care Operational Research SIG.