Evaluating the Potential of Large Language Models for Respiratory Disease Consultations (EPLLMMRDC)

November 24, 2024 updated by: Zining Luo, North Sichuan Medical College

Evaluating the Potential of Large Language Models for Respiratory Disease Consultations: A Randomized Crossover Trial

The clinical trial aimes to evaluate multiple large language models in respiratory disease consultations by comparing their performance to that of human doctors across three major medical consultation scenarios.

The main question aims to answer are:

  • How do large language models perform in comparison to human doctors in diagnosing and consulting on respiratory diseases across various clinical scenarios?

In three clinical scenarios including the online query section, the disease diagnosis section and the medical explanation section, research assistants or volunteers will be asked to cross-question all LLMs or real doctors using predefined online questions and their own issues. After each questioning session, a short washout period is implemented to eliminate potential biases.

Study Overview

Study Type

Interventional

Enrollment (Actual)

703

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Sichuan
      • Nanchong, Sichuan, China, 637000
        • The Affiliated Hospital of North Sichuan Medical College

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  1. Self-reported symptoms of common respiratory diseases, such as cough, chest tightness, fever, and wheezing
  2. Ability to engage in LLM dialog operations independently or with minimal peer training
  3. A health status deemed suitable for study participation by the pulmonology experts

Exclusion Criteria:

1) Excessively poor health status

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: Quadruple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Other: Cross-comparison group(the disease diagnosis section)
Cross-comparison group (including human doctor controls and all LLMs)
This intervention involves answering patient inquiries by different human doctors. Each patient is randomly assigned by the system to three doctors from different provinces in China selected from the database of doctors. The doctors all come from multiple online consultation platforms in China, and their diagnostic qualifications and medical licenses have undergone strict verification.
This intervention involves answering patient inquiries by ChatGPT-3.5 with search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by ChatGPT-3.5 without search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by ChatGPT-4.0 with search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by ChatGPT-4.0 without search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by Claude instant with search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by Claude instant without search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by Claude 2 with search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by Claude 2 without search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by Gemini Pro with search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by Gemini Pro without search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
Other: Cross-comparison group(the medical explanation section)
Cross-comparison group (including human doctor controls and all LLMs)
This intervention involves answering patient inquiries by different human doctors. Each patient is randomly assigned by the system to three doctors from different provinces in China selected from the database of doctors. The doctors all come from multiple online consultation platforms in China, and their diagnostic qualifications and medical licenses have undergone strict verification.
This intervention involves answering patient inquiries by ChatGPT-3.5 with search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by ChatGPT-3.5 without search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by ChatGPT-4.0 with search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by ChatGPT-4.0 without search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by Claude instant with search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by Claude instant without search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by Claude 2 with search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by Claude 2 without search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by Gemini Pro with search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.
This intervention involves answering patient inquiries by Gemini Pro without search capabilities, before answering any questions, clear the chat history from the previous patient and input the predetermined initialization statement.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Expert indicators-Accuracy
Time Frame: For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. As for subjective expert indicators, the evaluation will be conducted within two months.
Based on the doctors' responses to patients' issues, a 5-point scale will be used for scoring by an expert panel: 5- The responses are completely accurate, addressing all of the patient's questions or diagnosing by identifying the key points of the patient's complaint. 4- The responses are mostly accurate, generally addressing the patient's questions or diagnosing by identifying the key points of the patient's complaint. 3- The responses are moderately accurate, addressing the patient's questions or diagnosing by identifying the key points of the patient's complaint. 2- The responses are rarely accurate, barely addressing the patient's questions or diagnosing by identifying the key points of the patient's complaint. 1- The responses are very inaccurate, not addressing the patient's questions or diagnosing by identifying the key points of the patient's complaint at all.
For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. As for subjective expert indicators, the evaluation will be conducted within two months.
Expert indicators-Comprehensiveness
Time Frame: For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. As for subjective expert indicators, the evaluation will be conducted within two months.
Based on the doctors' responses to patients' issues, a 5-point scale will be used for scoring by an expert panel: 5-The responses are highly comprehensive, addressing various aspects of potential diseases corresponding to the patient's symptoms, providing detailed advice, and offering its own extended interpretations. 4-The responses are mostly comprehensive, covering most aspects of potential common diseases related to the patient's symptoms, and providing fairly detailed advice. 3-The responses are moderately comprehensive, addressing some aspects of potential common diseases related to the patient's symptoms, and offering basic advice. 2-The responses are rarely comprehensive, failing to consider various aspects of potential common diseases related to the patient's symptoms, and providing very limited advice. 1-The responses are not comprehensive at all, overlooking most potential diseases related to the patient's symptoms, and failing to provide any advice.
For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. As for subjective expert indicators, the evaluation will be conducted within two months.
Expert indicators-Correctness
Time Frame: For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. As for subjective expert indicators, the evaluation will be conducted within two months.
Based on the doctors' responses to patients' issues, a 5-point scale will be used for scoring by an expert panel: 5- The responses are completely correct, with no inappropriate or ambiguous statements. 4- The responses are mostly correct, with most statements being appropriate and unambiguous. 3- The responses are generally correct, although there are inappropriate or ambiguous statements, they are acceptable. 2- The responses are partially correct, with few statements being appropriate or unambiguous. 1- The responses are completely incorrect, with nearly all statements being inappropriate and full of ambiguities.
For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. As for subjective expert indicators, the evaluation will be conducted within two months.
Expert indicators-Ethical compliance
Time Frame: For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. As for subjective expert indicators, the evaluation will be conducted within two months.
Based on the doctor's response to the patient's question, an expert panel will review each item in accordance with the Declaration of Helsinki and the International Code of Medical Ethics which aims to determine whether there are any responses or suggestions that could potentially harm the patient or violate ethical guidelines. The findings will be recorded using binary variables: True-The responses are completely ethical. False-When uncertainties exist, the response includes suggestions for the use of controlled medications and some inappropriate or even counterproductive advice.
For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. As for subjective expert indicators, the evaluation will be conducted within two months.
Empathy indicators
Time Frame: For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. As for subjective empathy indicators, the evaluation will be conducted within two months.
Results from CARE scales concerning the doctor-patient relationship, which were completed by patients following each diagnostic session. Specifically, the online query section does not apply the evaluation of CARE scales.
For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. As for subjective empathy indicators, the evaluation will be conducted within two months.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Regular indicators-Total number of questions
Time Frame: For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
The number of follow-up questions asked by the LLM or real doctor to the patient after providing basic answers in a complete conversation.
For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
Regular indicators-Follow-up words
Time Frame: For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
The number of words in follow-up questions asked by the LLM or real doctor to the patient after providing basic answers in a complete conversation.
For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
Regular indicators-Total number of conversations
Time Frame: For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
The total number of dialogs in a complete conversation between a user and LLMs or a real doctor, where each dialog consists of one question and one answer.
For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
Regular indicators-Total conversation cost ($)
Time Frame: For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
The total cost in dollars for completing the entire conversation.
For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
Regular indicators-Total conversation time (min)
Time Frame: For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
Timing starts from the user's input and stops when the LLMs or real doctors completes the output of the last sentence.
For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
Regular indicators-Number of output statements
Time Frame: For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
The total number of words output by the LLMs or real doctors.
For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
Regular indicators-Number of input statements
Time Frame: For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.
The sum of the number of characters entered by the user.
For each participant, starting from the day of random conversation, a maximum participation time of one week will be given. After the completion of the dialogues, the system will automatically summarize all objective indicators and dialogue information.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Jiebin Xie, Doctor, North Sichuan Medical College

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 1, 2023

Primary Completion (Actual)

December 12, 2023

Study Completion (Actual)

October 12, 2024

Study Registration Dates

First Submitted

June 4, 2024

First Submitted That Met QC Criteria

June 8, 2024

First Posted (Actual)

June 13, 2024

Study Record Updates

Last Update Posted (Estimated)

November 27, 2024

Last Update Submitted That Met QC Criteria

November 24, 2024

Last Verified

November 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • 1426887-2024-1
  • 22XQT0309 (Other Grant/Funding Number: the cooperation of urban schools in Nanchong City)
  • CBY22-QDA15 (Other Grant/Funding Number: the doctoral startup fund of North Sichuan Medical College)
  • 2022LC005 (Other Grant/Funding Number: the affiliated hospital of North Sichuan Medical College)
  • 23JCYJPT0014 (Other Grant/Funding Number: the scientific research project of the science and technology bureau of Nanchong)

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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