Unknown

Dataset Information

Performance Comparison of Junior Residents and ChatGPT in the Objective Structured Clinical Examination (OSCE) for Medical History Taking and Documentation of Medical Records: Development and Usability Study.


ABSTRACT:

Background

This study explores the cutting-edge abilities of large language models (LLMs) such as ChatGPT in medical history taking and medical record documentation, with a focus on their practical effectiveness in clinical settings-an area vital for the progress of medical artificial intelligence.

Objective

Our aim was to assess the capability of ChatGPT versions 3.5 and 4.0 in performing medical history taking and medical record documentation in simulated clinical environments. The study compared the performance of nonmedical individuals using ChatGPT with that of junior medical residents.

Methods

A simulation involving standardized patients was designed to mimic authentic medical history-taking interactions. Five nonmedical participants used ChatGPT versions 3.5 an

SUBMITTER: Huang TY 

PROVIDER: S-EPMC11612517 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature