Multi-Disciplinary Treatment on the Anthropomorphism of Large Language Models

Launched by NORTH SICHUAN MEDICAL COLLEGE · Oct 3, 2024

Keywords

ClinConnect Summary

This clinical trial is exploring how well large language models—advanced computer programs designed to understand and generate human-like text—can assist in medical consultations compared to consultations led by human doctors. The goal is to see if these models can provide better recommendations for treating patients with serious conditions like cancer, heart diseases, and infections. Researchers will look back at medical records from the past 20 years to compare the outcomes of consultations where large language models played the role of doctors and secretaries to those led by actual doctors.

To be eligible for this study, patients must have records of consultations involving multiple specialists, with clear recommendations and notes showing improvement in their condition after the treatment plan. If you're interested in participating, you should know that the trial is not currently recruiting, but it’s important to understand that it aims to see if using these computer models can improve patient care and potentially save costs in the healthcare system.

Gender

ALL

Eligibility criteria

• 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.