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3M-6D Educational Intervention to Improve LLM-Assisted Medical Consultation in Neurology Outpatients
Sponsor: Capital Medical University
Summary
This study will evaluate whether three-minute six-dimension education (3M-6D education) can improve the reliability of large language models (LLMs) as medical assistants in neurology outpatients. Participants will be randomly assigned to receive or not receive 3M-6D education before using ChatGPT for medical consultation.
Official title: Improving the Reliability of LLM-Assisted Medical Consultation in Neurology Outpatients Through a 3M-6D Structured Educational Intervention: a Randomized Controlled Trial
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
396
Start Date
2026-09-30
Completion Date
2026-10-31
Last Updated
2026-10-02
Healthy Volunteers
No
Conditions
Interventions
three minutes six dimensions education
3M-6D education is designed based on Cognitive Load Theory to reduce the cognitive burden on patients during medical interactions with AI and to improve the clarity and completeness of symptom reporting. Guided by cognitive load theory and the natural process physicians use to take medical histories, the investigators identified candidate information dimensions and developed a structured expression framework with six dimensions for public health queries through a Delphi expert consensus process. Participants were instructed to use the framework to describe their symptoms across these six dimensions; this process can typically be completed within three minutes, so the investigators call this approach three minutes six dimensions education (3M-6D education).
ChatGPT
Participants use ChatGPT to complete a consultation task in unrestricted natural language.
Locations (4)
Aerospace Center Hospital
Beijing, Beijing Municipality, China
Huimin Hospital
Beijing, Beijing Municipality, China
Mentougou District Hospital
Beijing, Beijing Municipality, China
Xuanwu Hospita
Beijing, China