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 volunteersQualifiers
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
Parallel
Treatments tested in this trial
three minutes six dimensions education
Behavioral3M-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 interventionParticipants use ChatGPT to complete a consultation task in unrestricted natural language.
Treatment groups
Trial outcomes
Primary outcomes
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.
Secondary outcomes
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.
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.
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.
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.
Sponsors and contacts
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