Multi-Disciplinary Treatment on the Anthropomorphism of Large Language Models

Not yet recruiting

• Conditions: Cancer; Respiratory Failure; Heart Diseases; Infections; Pneumonia; Disease

• Registration Number: NCT06627985
• Lead Sponsor: North Sichuan Medical College

Brief Summary

This retrospective clinical trial aims to better explore the potential of large language models in medicine by comparing the effectiveness of MDT consultations conducted by human doctors with those conducted by large language models.

The main questions to be addressed are:

Does using large language models to conduct anthropomorphic MDT consultations yield better results than using non-anthropomorphic processes? Is there a significant performance gap between MDT consultations conducted by large language models and those conducted by humans? How much greater is the economic benefit of MDT consultations from large language models compared to those conducted by humans?

Retrospectively collect MDT consultation records from the past 20 years in northern Sichuan in China, as well as anonymized patient medical records. Group 1: Different large language models are assigned to act as doctors from different departments and as MDT secretaries to summarize consultations. Group 2: The large language model directly outputs diagnostic and treatment recommendations for patients. Compare the outputs of groups 1 and 2 with human performance retrospectively, score them, and select the best model from each department for a re-evaluation through anthropomorphic MDT consultations, once again comparing them to human results.

Detailed Description

Not available

Study Timeline

• Status Verified: 2024-10
• Study Start: 2024-10-01
• Study First Submitted: 2024-10-01
• Study First Submitted QC: 2024-10-03
• Last Update Submitted: 2024-10-03
• Study First Posted: 2024-10-04
• Last Update Posted: 2024-10-04
• Primary Completion: 2024-11-01
• Study Completion: 2024-11-01

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 300

Inclusion Criteria

• 1. The medical records include interdisciplinary consultation notes, with recommendations from specialists of various departments and a well-documented final summary.
• 2. The medical records contain data from at least one year prior to and one year following the consultation (including intact reports and imaging records).
• 3. The patient's discharge conditions improved due to the multidisciplinary treatment plan after the consultation.

Exclusion Criteria

• 1. The medical records do not include multidisciplinary consultation notes, or the recommendations from various departmental physicians and the final summary notes are incomplete or inadequate.
• 2. The medical records lack data from 1 year before and after the consultation, or miss necessary reports and imaging data, resulting in incomplete documentation.
• 3. The patient's condition at discharge has not improved following the multidisciplinary treatment plan, or the condition has worsened.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Consultation Cost ($)	From Multi-Disciplinary Treatment Process to Multi-Disciplinary Treatment Process until all json fields are output, the time taken by human doctors to record the time using His system generally does not exceed 12 hours.
Consultation Time (min)	From Multi-Disciplinary Treatment Process to Multi-Disciplinary Treatment Process until all json fields are output, the time taken by human doctors to record the time using His system generally does not exceed 12 hours.
Comprehensiveness of the Multi-Disciplinary Treatment Results (Percentage Scale)	From Multi-Disciplinary Treatment Process to Multi-Disciplinary Treatment Process until all json fields are output, the time taken by human doctors to record the time using His system generally does not exceed 12 hours.
Clarity of Multi-Disciplinary Treatment Results (Percentage Scale)	From Multi-Disciplinary Treatment Process to Multi-Disciplinary Treatment Process until all json fields are output, the time taken by human doctors to record the time using His system generally does not exceed 12 hours.
Correctness of Multi-Disciplinary Treatment Results (Percentage Scale)	From Multi-Disciplinary Treatment Process to Multi-Disciplinary Treatment Process until all json fields are output, the time taken by human doctors to record the time using His system generally does not exceed 12 hours.
Cross-Professional Team Collaboration Practice Assessment (CPAT)	From Multi-Disciplinary Treatment Process to Multi-Disciplinary Treatment Process until all json fields are output, the time taken by human doctors to record the time using His system generally does not exceed 12 hours.
Rating Scale for Summarization	From Multi-Disciplinary Treatment Process to Multi-Disciplinary Treatment Process until all json fields are output, the time taken by human doctors to record the time using His system generally does not exceed 12 hours.
Flesch-Kincaid Readability Test	From Multi-Disciplinary Treatment Process to Multi-Disciplinary Treatment Process until all json fields are output, the time taken by human doctors to record the time using His system generally does not exceed 12 hours.

Secondary Outcome Measures

Name	Time	Method
Ethical Compliance (Boolean)	From Multi-Disciplinary Treatment Process to Multi-Disciplinary Treatment Process until all json fields are output, the time taken by human doctors to record the time using His system generally does not exceed 12 hours.

Trial Locations

Locations (1)

The Affiliated Hospital of North Sichuan Medical College; 🇨🇳 Nanchong, Sichuan, China