Automated Evaluation Framework for AI-Generated Emergency Department Documentation: A Chain-of-Thought Validation Study

MEDIVAL demonstrates that progressive CoT strategies systematically enhance automated evaluation of emergency department documentation while maintaining high reproducibility. This offers a viable pre-screening tool for reducing expert workload while supporting reliable AI integration into emergency medicine workflows.

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Publication Details

Journal
Clinical and Experimental Emergency Medicine
Published
2025-12-02
DOI
https://doi.org/10.15441/ceem.25.153
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Automated Evaluation Framework for AI-Generated Emergency Department Documentation: A Chain-of-Thought Validation Study

Sejin Heo, Hansol Chang, Taerim Kim, Minha Kim et al.
Clinical and Experimental Emergency Medicine
Artificial Intelligence in Healthcare and Education
article

Automated Evaluation Framework for AI-Generated Emergency Department Documentation: A Chain-of-Thought Validation Study

Sejin Heo, Hansol Chang, Taerim Kim, Minha Kim, Jeong-Ho Seo, Won Cul, Dasol Choi
article en

Abstract

MEDIVAL demonstrates that progressive CoT strategies systematically enhance automated evaluation of emergency department documentation while maintaining high reproducibility. This offers a viable pre-screening tool for reducing expert workload while supporting reliable AI integration into emergency medicine workflows.

Clinical and Experimental Emergency Medicine
Yonsei University (KR), Samsung (South Korea) (KR), Samsung Medical Center (KR), Sungkyunkwan University (KR)
Samsung
Openalex Percentile: Top 68%
Artificial Intelligence in Healthcare and Education
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