Guideline-Incorporated Large Language Model-Driven Evaluation of Medical Records Using MedCheckLLM

The study introduces MedCheckLLM, a large language model-driven framework that enhances medical record evaluation through a guideline-in-the-loop approach by integrating evidence-based guidelines.

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Publication Details

Journal
JMIR Formative Research
Published
2025-04-24
DOI
https://doi.org/10.2196/53335
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
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article

Guideline-Incorporated Large Language Model-Driven Evaluation of Medical Records Using MedCheckLLM

Stella J Soyka, Marc C. Schubert, Wolfgang Wick, Varun Venkataramani
2 citations
JMIR Formative Research
Artificial Intelligence in Healthcare and Education
1.31
article

Guideline-Incorporated Large Language Model-Driven Evaluation of Medical Records Using MedCheckLLM

Stella J Soyka, Marc C. Schubert, Wolfgang Wick, Varun Venkataramani
article en
2 citations

Abstract

The study introduces MedCheckLLM, a large language model-driven framework that enhances medical record evaluation through a guideline-in-the-loop approach by integrating evidence-based guidelines.

JMIR Formative ResearchVol. 9
Heidelberg University (DE), University Hospital Heidelberg (DE)
Quality Education
Openalex Percentile: Top 16%
Artificial Intelligence in Healthcare and Education
1.31
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