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Not yet recruitingNCT07711600Updated Jul 17, 2026

Large Language Model Assistance for Clinical Decision-Making Among Rural Physicians

An interventional study of LLM-Use Training and Conventional Non-LLM Resources in Clinical Decision-making, sponsored by Peking University Third Hospital. Not yet recruiting at 1 site in China. Open to participants aged 18 Years to 65 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-07-17.

Sponsored by Peking University Third Hospital · Not applicable, Interventional, and Health services research

Phase
Not applicable
Study type
Interventional
Enrollment
240
Allocation
Randomized
Ages
18 Years to 65 Years
Sex
All
01

Study summary

This study will evaluate whether, relative to conventional information retrieval approaches, direct large language models (LLM) access and LLM use training can improve the overall clinical decision-making ability of rural physicians in low-resource grassroots healthcare settings.

Read the detailed description

Rural physicians play an essential role in the diagnosis and management of common and frequently occurring conditions, referral decision-making, chronic disease management, and patient education. In resource-constrained primary care settings, they often face limited access to medical information and specialist support, delays in updating clinical knowledge and guidelines, and substantial pressure in clinical decision-making. These challenges are particularly relevant in northwestern China, where primary care resources are relatively limited. Improving rural physicians' abilities in diagnostic assessment, recognition of clinical warning signs, and rational prescribing is therefore an important priority for strengthening primary healthcare services.

Large language models (LLMs) can support medical information retrieval, organization of diagnostic and management approaches, differential diagnosis, medication-related decision-making, patient education, and follow-up planning, and may therefore serve as accessible tools for supporting clinical decision-making in primary care. However, general-purpose LLMs were not specifically developed for use in resource-constrained primary care settings and have not been adequately evaluated among rural physicians. Their responses may contain factual errors or fabricated evidence, overlook warning signs, provide insufficient medication safety warnings, or recommend investigations and treatments that are not feasible in local primary care settings. Without adequate verification skills, physicians may fail to benefit from LLM assistance and may even introduce new safety risks. It is therefore important to evaluate how rural physicians use LLMs and whether structured training can improve the safe and effective use of these tools before their wider implementation.

This randomized controlled trial will evaluate the effects of LLM assistance and brief training on clinical decision-making among rural physicians. Participants will complete clinical cases involving common conditions encountered in primary care, with tasks assessing diagnostic judgment, recognition of warning signs, rational treatment, and patient education. Some participants will also use the LLM as a second-opinion tool to review and revise their initial decisions. All responses will be independently evaluated by reviewers blinded to group assignment using standardized scoring criteria to assess overall clinical decision-making performance and safety.

02

Conditions studied

  • Clinical Decision-making

Keywords

  • Large Language Models
  • Clinical Decision Support
  • Rural Physicians
03

In context

Lead sponsor

Peking University Third Hospital is the lead sponsor of 735 studies on the registry; 262 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 65 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Currently engaged in clinical practice at a rural primary healthcare institution in northwestern China.
  • Has received formal medical education and holds a relevant diploma or degree.
  • Able to read and understand clinical case materials in Chinese.
  • Able to use a computer to complete the study tasks.
  • Willing to participate and able to provide written informed consent.

Exclusion criteria

Exclusion Criteria:

  • Previously involved in the development of the clinical case tasks, reference answers, or scoring rubric for this study.
  • Previously participated in pilot testing involving the same clinical case tasks or study procedures.
05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Factorial assignment
Masking
Single (Outcomes assessor)
Enrollment
240 participants (estimated)

Study arms

  • Active comparator
    Conventional Resources Followed by LLM Second Opinion

    Participants receive no LLM-use training. During the initial 60-minute assessment, they complete the clinical cases using conventional non-LLM resources only. After submitting their initial responses, they receive an additional 30 minutes to use the study-provided LLM as a second-opinion tool to review and revise their responses.

    Other: Conventional Non-LLM Resources · Other: LLM Second-Opinion Review

  • Experimental
    Direct LLM Assistance

    Participants receive no LLM-use training and may use the study-provided LLM throughout the initial 60-minute assessment to complete the clinical cases. They submit their final responses at 60 minutes and do not participate in the additional second-opinion phase.

    Other: Direct LLM Assistance

  • Experimental
    LLM Training and Conventional Resources Followed by LLM Second Opinion

    Participants receive brief structured training on the safe and effective use of LLMs. During the initial 60-minute assessment, they complete the clinical cases using conventional non-LLM resources only. After submitting their initial responses, they receive an additional 30 minutes to use the study-provided LLM as a second-opinion tool to review and revise their responses.

    Behavioral: LLM-Use Training · Other: Conventional Non-LLM Resources · Other: LLM Second-Opinion Review

  • Experimental
    LLM Training and Direct LLM Assistance

    Participants receive brief structured training on the safe and effective use of LLMs and may use the study-provided LLM throughout the initial 60-minute assessment to complete the clinical cases. They submit their final responses at 60 minutes and do not participate in the additional second-opinion phase.

    Behavioral: LLM-Use Training · Other: Direct LLM Assistance

Interventions

  • BehavioralLLM-Use Training

    Before completing the clinical cases, participants receive brief structured training on the safe and effective use of LLMs. The training covers the role and limitations of LLMs, structured prompting and follow-up questioning, identification of warning signs and referral indications, medication safety, verification of LLM-generated information, high-risk situations in which LLMs should not be relied upon, and protection of patient privacy.

  • OtherConventional Non-LLM Resources

    During the initial 60-minute assessment, participants complete primary care clinical cases using conventional non-LLM resources only, including clinical guidelines, textbooks, drug labels, training materials, medical websites, and standard search engines. Participants are not permitted to use LLMs during this phase.

  • OtherLLM Second-Opinion Review

    After completing and submitting their initial responses using conventional non-LLM resources, participants receive an additional 30 minutes to use the study-provided DeepSeek-V4 as a second-opinion tool. They may review, verify, and revise their initial clinical decisions before submitting their final responses.

  • OtherDirect LLM Assistance

    During the initial 60-minute assessment, participants may use the study-provided DeepSeek-V4 to assist with medical information retrieval, diagnostic and management reasoning, identification of warning signs, referral decisions, rational prescribing, patient education, and follow-up planning. Participants remain responsible for their final clinical decisions and responses.

06

What researchers measure

Primary outcomes

  1. Overall Clinical Decision-Making Score

    Participants' responses to primary care clinical cases will be evaluated using a prespecified scoring rubric. The overall score will reflect performance across key components of clinical decision-making. Higher scores indicate better overall clinical decision-making performance.

    Time frame: At the end of the initial 60-minute assessment

Secondary outcomes

  1. Diagnostic Judgment Domain Score

    Participants' diagnostic judgment in response to primary care clinical cases will be evaluated using a predefined scoring rubric. Higher scores indicate better diagnostic judgment.

    Time frame: At the end of the initial 60-minute assessment

  2. Clinical Warning Sign Recognition Domain Score

    Participants' ability to identify clinically important warning signs in primary care clinical cases will be evaluated using a predefined scoring rubric. Higher scores indicate better recognition of clinical warning signs.

    Time frame: At the end of the initial 60-minute assessment

  3. Treatment Plan Domain Score

    Participants' proposed treatment plans for primary care clinical cases will be evaluated using a predefined scoring rubric. Higher scores indicate better treatment planning performance.

    Time frame: At the end of the initial 60-minute assessment

  4. Change in Overall Clinical Decision-Making Score After LLM Review

    Among participants assigned to the LLM second-opinion phase, the change in overall clinical decision-making score will be calculated as the score after LLM-assisted review minus the score before LLM-assisted review. Positive values indicate improvement in overall clinical decision-making performance.

    Time frame: Change from 60 to 90 minutes after the start of the assessment

07

Study locations

1 site
  • Xinjiang Second Medical College
    Karamay, Xinjiang Uygur Autonomous Region, China
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 17, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07711600
Lead sponsor
Peking University Third Hospital
Collaborators
Xinjiang Second Medical College
Responsible party
tao liyuan (Research Professor, Peking University Third Hospital) — Principal investigator
First posted
Jul 17, 2026
Start date
Jul 2026 (estimated)
Primary completion
Aug 2026 (estimated)
Completion
Sep 2026 (estimated)
Last update
Jul 17, 2026

Study contacts

Liyuan Tao, MD
Contact
tendytly@163.com
+86 82265732

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is not yet recruiting, as verified in Jul 2026. You cannot join it, but the record below documents what was studied.

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