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

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorCapital Medical University

About this trial

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.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

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;

Disqualifiers

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;

Trial design

Design model

Parallel

Treatments tested in this trial

  • 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 intervention

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

Treatment groups

396 Participants
are divided into 2 treatment groups
Group A: 3M-6D education GPT GroupExperimental treatment 2 interventions
Group B: GPT GroupActive comparator 1 intervention

Trial outcomes

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.

Time frame
30 days

Secondary outcomes

1

Preparation for Decision Making Scale

Preparation for Decision Making Scale (PrepDM) is a self-reported scale used to assess participants' readiness for medical decision-making after medical consultation. The scale includes 10 items. Each item is scored from 1 to 5 using a 5-point Likert scale. The total score is the mean of the 10 items. Higher scores indicate greater preparation for decision-making.

Time frame
Within 1 hour
2

Consultation duration

Consultation duration is defined as the time from the patient's arrival at the outpatient clinic to the completion of the outpatient visit.

Time frame
Within 1 hour
3

Patient satisfaction with this consultation

Patient satisfaction is a self-reported measure used to assess participants' satisfaction with the outpatient visit. Higher scores indicate greater satisfaction.

Time frame
Within 1 hour after the outpatient visit
4

Red-flag identification

Red-flag identification is defined as the proportion of participants whose final response includes the key warning signs predefined by experts for the participant's presenting symptoms.

Time frame
Within 1 hour after the outpatient visit

Other outcomes

Sponsors and contacts

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