ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2025
Automatically Identifying Event Reports of Workplace Violence and Communication Failures using Large Language Models.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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12 authors.
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Abstract
Safety event reporting forms a cornerstone of identifying and mitigating risks to patient and staff safety. However, variabilities in reporting and limited resources to analyze and classify event reports delay healthcare organizations' ability to rapidly identify safety event trends and to improve workplace safety. We demonstrated how large language models can classify safety event report narratives as workplace violence (F1: 0.80 for physical violence; F1: 0.94 for verbal abuse) and communication failures (F1: 0.94) as a first step toward enabling automated labeling of safety event reports and ultimately improving workplace safety.
Identifiers
40502249PMC12150719What OpenQuestion holds
Registered trials
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