Automatically Identifying Event Reports of Workplace Violence and Communication Failures using Large Language Models
Becker, M.; Hwang, S.; Schriver, E.; Douma, C.; Duffy, C.; Atkins, J.; McShane, C.; Lubken, J.; Hanish, A.; McGreevey, J. D.; Regli, S.; Mowery, D.
Show 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 and communication failures as a first step toward enabling automated labeling of safety event reports and ultimately improving workplace safety.
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