Improving the Reliability of LLMs as Medical Assistants for the General Public

NCT07651280 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 525

Last updated 2026-07-07

No results posted yet for this study

Summary

This study will evaluate whether three-minute six-dimensions education(3M-6D education) can improve the reliability of large language models as medical assistants for the general public. Participants will be randomly assigned to receive or not receive 3M-6D education and then use ChatGPT, Gemini, or non-AI information resources. The study will assess relevant condition identification, disposition concordance, red-flag identification, and NASA-TLX score.

Conditions

  • Relevant Conditions Identification

Interventions

BEHAVIORAL

three minutes six dimensions 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).

OTHER

ChatGPT

Participants use ChatGPT to complete a standardized simulated clinical scenarios in unrestricted natural language.

OTHER

Gemini

Participants use Gemini to complete a standardized simulated clinical scenarios in unrestricted natural language.

Sponsors & Collaborators

  • Xuanwu Hospital, Beijing

    collaborator OTHER
  • Capital Medical University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-07-03
Primary Completion
2026-07-20
Completion
2026-07-20

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07651280 on ClinicalTrials.gov