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3M-6D Educational Intervention to Improve LLM-Assisted Medical Consultation in Neurology Outpatients

Sponsor: Capital Medical University • ClinicalTrials.gov ID: NCT07844044

Registry updated: 2026-10-02

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Description

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.

Interventions

three minutes six dimensions education (Behavioral)
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 (Other)
Participants use ChatGPT to complete a consultation task in unrestricted natural language.

Eligibility criteria

Inclusion Criteria: 1. Aged ≥ 18 years 2. Completed primary school or higher education; 3. Able to use a smartphone or computer to complete online interactions; 4. Presenting to the hospital for neurological symptoms; 5. This visit is the first consultation for the current symptoms; 6. Has not used AI tools or online resources to assess the current condition prior to this visit; 7. Able to understand and comply with study procedures and to provide written informed consent. Exclusion Criteria: 1. Currently or previously employed as a healthcare worker; 2. Previously received systematic medical training; 3. Condition requires emergency care; 4. Participating in another clinical trial that may affect this study's outcomes; 5. Any other condition the investigators consider unsuitable for enrollment or likely to interfere with trial results.

Conditions

Condition Category Concordance

Locations

Aerospace Center Hospital — Beijing, Beijing Municipality, China
Huimin Hospital — Beijing, Beijing Municipality, China
Mentougou District Hospital — Beijing, Beijing Municipality, China
Xuanwu Hospita — Beijing, China

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Official Source

Data sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.

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