Reliability of ChatGPT for performing triage task in the emergency department using the Korean Triage and Acuity Scale.

ABSTRACT:

Background

Artificial intelligence (AI) technology can enable more efficient decision-making in healthcare settings. There is a growing interest in improving the speed and accuracy of AI systems in providing responses for given tasks in healthcare settings.

Objective

This study aimed to assess the reliability of ChatGPT in determining emergency department (ED) triage accuracy using the Korean Triage and Acuity Scale (KTAS).

Methods

Two hundred and two virtual patient cases were built. The gold standard triage classification for each case was established by an experienced ED physician. Three other human raters (ED paramedics) were involved and rated the virtual cases individually. The virtual cases were also rated by two different versions of the chat generative pre-tr

SUBMITTER: Kim JH 

PROVIDER: S-EPMC10798071 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature