Comparison of triage performance among DRP tool, ChatGPT, and outpatient rehabilitation doctors

With the increasing need for rehabilitation, efficient triage is crucial. This study aims to explore the performance of the distributing rehabilitation patients (DRP) tool, ChatGPT, and outpatient doctors in rehabilitation patient triage, and to compare their strengths and limitations. This is a multicenter cross-sectional study. A total of 300 rehabilitation patients were selected from 27 medical institutions in 15 cities. Patients assessed by three methods: doctor assessment, ChatGPT, and the DRP tool. Three groups were set according to different methods: Doctor Group, ChatGPT Group, and Tool Group. Triage outcomes: outpatient rehabilitation, primary healthcare institutions inpatient, secondary hospital inpatient, tertiary hospital inpatient, and nursing homes or long-term care institutions inpatient. The consistency of triage was analyzed. Significant differences were observed between Doctor Group and both ChatGPT Group and Tool Group (P < 0.01; P < 0.01), no significant difference was observed between ChatGPT Group and Tool Group (P = 0.29). Consistency analysis revealed fair consistency between Doctor Group and both Tool Group and ChatGPT Group. Tool Group and ChatGPT Group showed good consistency. Percentage consistency showed that Tool Group and ChatGPT Group achieved the highest rate of agreement, at 63.67%. This study revealed differences between the DRP tool, ChatGPT, and traditional triage methods. The DRP tool may be more suitable for rehabilitation triage.

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Publication Details

Journal
Scientific Reports
Published
2025-04-23
DOI
https://doi.org/10.1038/s41598-025-99216-0
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65

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article

Comparison of triage performance among DRP tool, ChatGPT, and outpatient rehabilitation doctors

Ruixue Ye, Fubing Zha, Wenshi Chen, Yulong Wang et al.
1 citations
Scientific Reports
Artificial Intelligence in Healthcare and Education
0.65
article

Comparison of triage performance among DRP tool, ChatGPT, and outpatient rehabilitation doctors

Ruixue Ye, Fubing Zha, Wenshi Chen, Yulong Wang, Yucong Zou, Jing Zhou, Yan Gao, Yawei Li
article en
1 citations

Abstract

With the increasing need for rehabilitation, efficient triage is crucial. This study aims to explore the performance of the distributing rehabilitation patients (DRP) tool, ChatGPT, and outpatient doctors in rehabilitation patient triage, and to compare their strengths and limitations. This is a multicenter cross-sectional study. A total of 300 rehabilitation patients were selected from 27 medical institutions in 15 cities. Patients assessed by three methods: doctor assessment, ChatGPT, and the DRP tool. Three groups were set according to different methods: Doctor Group, ChatGPT Group, and Tool Group. Triage outcomes: outpatient rehabilitation, primary healthcare institutions inpatient, secondary hospital inpatient, tertiary hospital inpatient, and nursing homes or long-term care institutions inpatient. The consistency of triage was analyzed. Significant differences were observed between Doctor Group and both ChatGPT Group and Tool Group (P < 0.01; P < 0.01), no significant difference was observed between ChatGPT Group and Tool Group (P = 0.29). Consistency analysis revealed fair consistency between Doctor Group and both Tool Group and ChatGPT Group. Tool Group and ChatGPT Group showed good consistency. Percentage consistency showed that Tool Group and ChatGPT Group achieved the highest rate of agreement, at 63.67%. This study revealed differences between the DRP tool, ChatGPT, and traditional triage methods. The DRP tool may be more suitable for rehabilitation triage.

Scientific ReportsVol. 15(1)
Shenzhen Second People's Hospital (CN)
Sanming Project of Medicine in Shenzhen
Openalex Percentile: Top 26%
Artificial Intelligence in Healthcare and Education
0.65
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