Three-Minute Six-Dimension Education to Improve LLM-Powered Neurology Consultations
Official title: Improving the Reliability of LLM-Assisted Medical Consultation in Neurology Outpatients Through a 3M-6D Structured Educational Intervention: a Randomized Controlled Trial
Run by Capital Medical University · NCT07844044 · Data updated 2026-11-12
This study tests whether a brief three-minute, six-dimension education plan helps patients give better information so ChatGPT can aid neurology care.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 396 (estimated) |
| Sponsor | Capital Medical University Academic / other |
| Locations | 4 sites (Beijing, Beijing Municipality and 3 other locations) |
| Status | Recruiting |
| Started | September 30, 2026 |
| Main results expected | October 31, 2026 |
| Study ends | October 31, 2026 |
| Registry record updated | October 2, 2026 |
| Trial ID | NCT07844044 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults (18+) with basic education who can use a smartphone or computer and are presenting for a first neurology consultation.
✕Probably not a fit
Patients who do not benefit may be those not using AI tools or those for whom the AI guidance does not improve consultation reliability.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
In this randomized trial, participants will be assigned to either receive a short 3-minute six-dimension education before using ChatGPT for a neurology consultation or go straight to using ChatGPT without the education. The 3M-6D framework guides patients to describe six key aspects of their symptoms to improve the reliability of the AI assistant. All participants interact with ChatGPT in natural language to obtain medical consultation assistance. The study is conducted at three Beijing-area hospitals and involves adults presenting with neurologic symptoms for their first current visit.
Why it matters
Potential benefit: If successful, patients may experience more accurate AI-assisted medical consultations and clearer symptom descriptions.
How similar studies have gone: Previous work has explored AI-assisted medical consultations, with mixed results; this study tests a specific structured patient education approach.
Who can join: the full rules
Show full inclusion / exclusion 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.
Where it's running
-
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
Study contacts
- Study coordinator: Xunming Ji
- Email: jixm@ccmu.edu.cn
- Phone: 01083198962
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Computed inspiratory muscle pressure to monitor inspiratory effort during pressure-targeted assist/control ventilation
This study tests a noninvasive computed pressure method (cPmus) to see if it matches the traditional esophageal pressure method for measuring inspiratory effort in adults on pressure-targeted ventilation with spontaneous breathing.
-
Noninvasive estimate of inspiratory effort to monitor pressure support ventilation
This study tests whether a noninvasive computed inspiratory muscle pressure (cPmus) can match the traditional esophageal pressure method for adults on pressure support ventilation.
-
Anticoagulation Plus Tocilizumab for Acute Cerebral Venous Thrombosis
This study tests whether adding a single dose of tocilizumab to standard blood thinners helps people with acute cerebral venous thrombosis.
-
Anisodine hydrobromide added to standard care for acute ischemic stroke patients undergoing thrombectomy
In people with acute ischemic stroke who are getting endovascular treatment, this study tests whether anisodine hydrobromide plus standard care helps more than standard care plus a placebo.
-
AI-powered decision support to boost thrombolysis for ischemic stroke
This trial tests whether an AI-assisted decision tool helps doctors give intravenous thrombolysis to eligible ischemic stroke patients within 24 hours at a primary hospital in China, compared with standard care.
-
Titrating pressure support using the Flow Index in adults on mechanical ventilation
This pilot trial tests whether using the Flow Index to guide PS titration in adults on invasive ventilation is feasible and helpful compared with standard methods.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.