Condition Category ConcordanceLAMP-2NCT07844044
3M-6D Educational Intervention to Improve LLM-Assisted Medical Consultation in Neurology Outpatients
A study testing three minutes six dimensions education and ChatGPT in people with Condition Category Concordance, run by Capital Medical University at 4 sites in China.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Condition Category Concordance
- What is being tested?
- three minutes six dimensions education and ChatGPT
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 396 participants
- Where
- 4 sitesChina
- Study dates
- 30 Sep 2026to 31 Oct 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- 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.
Trial locations and contacts
4 sites in 1 country. Contact the study team or a site near you to ask about taking part.
China4 sites, 4 recruiting
- Recruiting
Aerospace Center Hospital
Beijing, Beijing Municipality
Hui Lu, 86+18844815888, gyibngc1@163.com
- Recruiting
Huimin Hospital
Beijing, Beijing Municipality
Peng Yu, 86+13500129973, luojiaqi1008@126.com
- Recruiting
Mentougou District Hospital
Beijing, Beijing Municipality
Yanbo Zhao, 86+15097941106, a15097941106@163.com
- Recruiting
Xuanwu Hospita
Beijing
Chuanjie Wu, MD, 01083199439, wuchuanjie@ccmu.edu.cn
Xunming Ji, PhD/MD, 01083198962, jixm@ccmu.edu.cn
About this study
Official title: Improving the Reliability of LLM-Assisted Medical Consultation in Neurology Outpatients Through a 3M-6D Structured Educational Intervention: a Randomized Controlled 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.
Read the detailed description
This randomized, controlled clinical trial 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.
Eligible participants will be randomly assigned in a 1:1 ratio to the 3M-6D education GPT group or the GPT group. Participants in the 3M-6D education GPT group will first receive approximately three minutes of structured education and then use ChatGPT for medical consultation. Participants in the GPT group will directly use ChatGPT for medical consultation without receiving 3M-6D education. All participants will communicate with ChatGPT using unrestricted natural language.
The 3M-6D education is a structured framework designed to help patients describe their symptoms and provide more complete medical information during LLM-assisted medical consultation. It guides patients to describe six key dimensions.
- Conditions
- Condition Category Concordance
- Being tested
- three minutes six dimensions education, ChatGPT
- Keywords
- 3M-6D education, Large Language Models, Cognitive Load Theory, neurology outpatients, condition category concordance
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
three minutes six dimensions educationBehavioural
Also called 3M-6D education
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).
ChatGPTOther
Participants use ChatGPT to complete a consultation task in unrestricted natural language.
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: 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. Receives: Other: ChatGPT |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 30 days
Secondary outcomes (5)
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.
Measured: Within 1 hour
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.
Measured: Within 1 hour
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.
Measured: Within 1 hour after the outpatient visit
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.
Measured: Within 1 hour after the outpatient visit
NASA-TLX score
NASA-TLX score is a self-reported task-load score measured immediately after the LLM-assisted medical consultation with ChatGPT. It includes six domains: mental demand, physical demand, temporal demand, effort, frustration, and performance. Each domain is scored from 0 to 100. The total score is the mean of the six domains. Higher scores indicate greater perceived task load.
Measured: Within 1 hour
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted28 Sep 2026
- Study start30 Sep 2026
- Primary completion31 Oct 2026 (estimated)
- Study completion31 Oct 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Condition Category ConcordanceStudies of the same condition, open and under way.
- More trials run by Capital Medical UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Participants will be randomly assigned in a 1:1 ratio to the 3M-6D education GPT group or the GPT group.
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 396 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Capital Medical University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Ji Xunming,MD,PhD, Capital Medical University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07844044
- Sponsor's protocol ID
- LAMP-2
- Acronym
- LAMP-2
- Status last verified
- Sep 2026
- First submitted
- 22 Sep 2026
- Last updated
- 2 Oct 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 2 Oct 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Improving the Reliability of LLM-Assisted Medical Consultation in Neurology Outpatients Through a 3M-6D Structured Educational Intervention: a Randomized Controlled Trial
- ClinicalTrials.gov ID
- NCT07844044
- Acronym / sponsor ID
- LAMP-2 / LAMP-2
- Conditions
- Condition Category Concordance
- Keywords
- 3M-6D education, Large Language Models, Cognitive Load Theory, neurology outpatients, condition category concordance
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 396 participants (estimated)
- Lead sponsor
- Capital Medical UniversityUniversity, hospital or other
- Study start
- 30 Sep 2026 (actual)
- Primary completion
- 31 Oct 2026 (estimated)
- Study completion
- 31 Oct 2026 (estimated)
- First posted
- 28 Sep 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
This randomized, controlled clinical trial 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.
Eligible participants will be randomly assigned in a 1:1 ratio to the 3M-6D education GPT group or the GPT group. Participants in the 3M-6D education GPT group will first receive approximately three minutes of structured education and then use ChatGPT for medical consultation. Participants in the GPT group will directly use ChatGPT for medical consultation without receiving 3M-6D education. All participants will communicate with ChatGPT using unrestricted natural language.
The 3M-6D education is a structured framework designed to help patients describe their symptoms and provide more complete medical information during LLM-assisted medical consultation. It guides patients to describe six key dimensions.
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
- Model description
- Participants will be randomly assigned in a 1:1 ratio to the 3M-6D education GPT group or the GPT group.
| Arm | Type | Receives |
|---|---|---|
| 3M-6D education GPT Group | Experimental | Behavioral: three minutes six dimensions education, Other: ChatGPTParticipants will first be trained in 3M-6D education, then use ChatGPT to complete a consultation task in unrestricted natural language. |
| GPT Group | Active comparator | Other: ChatGPTParticipants will use ChatGPT to complete a consultation task in unrestricted natural language. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (7 listed)
- 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;
Key exclusion criteria (5 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| three minutes six dimensions educationAlso: 3M-6D education3M-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). | Behavioural | 3M-6D education GPT Group |
| ChatGPTParticipants use ChatGPT to complete a consultation task in unrestricted natural language. | Other | 3M-6D education GPT Group, GPT Group |
Primary outcome
Condition category concordance
Time frame: 30 days
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.
5 secondary outcomes
Preparation for Decision Making Scale
Time frame: Within 1 hour
Consultation duration
Time frame: Within 1 hour
Patient satisfaction with this consultation
Time frame: Within 1 hour after the outpatient visit
Red-flag identification
Time frame: Within 1 hour after the outpatient visit
NASA-TLX score
Time frame: Within 1 hour
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Oct 2026.
- Individual participant dataSharing planned: Undecided
Related trials for Condition Category Concordance
Not yet recruitingObservational study
Estradiol Levels According to Body Mass Index in Premenopausal Patients With Breast Cancer
Hormone Receptor-Positive Breast Cancer
Not yet recruitingObservational study
Validating DW-MRI and Fat Fraction in Multiple Myeloma Post-ASCT: The RAC-FAT Study"
Multiple Myeloma (MM)
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
4 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing three minutes six dimensions education and ChatGPT in people with Condition Category Concordance, run by Capital Medical University at 4 sites in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 2 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 4 sites in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Xunming Ji (01083198962, jixm@ccmu.edu.cn), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Condition category concordance (time frame: 30 days). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 2 Oct 2026.