Evaluating large language models on hospital health data for automated emergency triage.
Journal:
International journal of computer assisted radiology and surgery
Published Date:
Jul 16, 2025
Abstract
PURPOSE: Large language models (LLMs) have a significant potential in healthcare due to their ability to process unstructured text from electronic health records (EHRs) and to generate knowledge with few or no training. In this study, we investigate the effectiveness of LLMs for clinical decision support, specifically in the context of emergency department triage, where the volume of textual data is minimal compared to other scenarios such as making a clinical diagnosis.
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