Large Language Model Assistance for Clinical Decision-Making Among Rural Physicians

This study will evaluate whether, relative to conventional information retrieval approaches, direct large language models (LLM) access and LLM use training can improve the overall clinical decision-making ability of rural physicians in low-resource grassroots healthcare settings.

Inclusion Criteria: * Currently engaged in clinical practice at a rural primary healthcare institution in northwestern China. * Has received formal medical education and holds a relevant diploma or degree. * Able to read and understand clinical case materials in Chinese. * Able to use a computer to complete the study tasks. * Willing to participate and able to provide written informed consent. Exclusion Criteria: * Previously involved in the development of the clinical case tasks, reference answers, or scoring rubric for this study. * Previously participated in pilot testing involving the same clinical case tasks or study procedures.