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

NCT07844044 | Recruiting DMC

• 1 other identifier: LAMP-2
• Study Type: interventional
• Target: 396
• Locations: 1 country
• Sites: 4

Brief 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.

Conditions

Condition Category Concordance

Keywords

3M-6D education; Large Language Models; Cognitive Load Theory; neurology outpatients; condition category concordance

Outcome Measures

Primary Outcomes (1)

• Condition category concordance

  The primary outcome of the LAMP-2 trial was condition category concordance, defined as at least one condition listed in a participant's response falling within the same prespecified neurological disease category as the final reference diagnosis.

  30 days

Secondary Outcomes (5)

• Preparation for Decision Making Scale

  Within 1 hour

• Consultation duration

  Within 1 hour

• Patient satisfaction with this consultation

  Within 1 hour after the outpatient visit

• Red-flag identification

  Within 1 hour after the outpatient visit

• NASA-TLX score

  Within 1 hour

Study Arms (2)

3M-6D education GPT Group

EXPERIMENTAL

Participants will first be trained in 3M-6D education, then use ChatGPT to complete a consultation task in unrestricted natural language.

Behavioral: three minutes six dimensions education; Other: ChatGPT

GPT Group

ACTIVE COMPARATOR

Participants will use ChatGPT to complete a consultation task in unrestricted natural language.

Other: ChatGPT

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).

Also known as: 3M-6D education

3M-6D education GPT Group

ChatGPT OTHER

Participants use ChatGPT to complete a consultation task in unrestricted natural language.

3M-6D education GPT Group; GPT Group

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Aged ≥ 18 years
• Completed primary school or higher education;
• Able to use a smartphone or computer to complete online interactions;
• Presenting to the hospital for neurological symptoms;
• This visit is the first consultation for the current symptoms;
• Has not used AI tools or online resources to assess the current condition prior to this visit;
• Able to understand and comply with study procedures and to provide written informed consent.

You may not qualify if:

• Currently or previously employed as a healthcare worker;
• Previously received systematic medical training;
• Condition requires emergency care;
• Participating in another clinical trial that may affect this study's outcomes;
• Any other condition the investigators consider unsuitable for enrollment or likely to interfere with trial results.

Sponsors & Collaborators

• Capital Medical University: lead

Study Sites (4)

Aerospace Center Hospital

Beijing, Beijing Municipality, China

RECRUITING

Huimin Hospital

Beijing, Beijing Municipality, China

RECRUITING

Mentougou District Hospital

Beijing, Beijing Municipality, China

RECRUITING

Xuanwu Hospita

Beijing, China

RECRUITING

Central Study Contacts

Xunming Ji

CONTACT

01083198962; jixm@ccmu.edu.cn

Chuanjie Wu

CONTACT

01083199439; wuchuanjie@ccmu.edu.cn

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Masking Details: Outcome assessors will be blinded to group assignment when evaluating participants' outcomes. Group information will be removed from the outcomes before assessment.
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Model Details: Participants will be randomly assigned in a 1:1 ratio to the 3M-6D education GPT group or the GPT group.

Study Record Dates

• First Submitted: September 22, 2026
• First Posted: September 28, 2026
• Study Start: September 30, 2026
• Primary Completion (Estimated): October 31, 2026
• Study Completion (Estimated): October 31, 2026
• Last Updated: October 2, 2026

Record last verified: 2026-09

Locations

CN (4)