Guillermo Rodriguez-Nava, Goar Egoryan, Katherine E Goodman, Daniel J Morgan, Jorge L Salinas
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Performance of a large language model for identifying central line-associated bloodstream infections (CLABSI) using real clinical notes.
We evaluated one of the first secure large language models approved for protected health information, for identifying central line-associated bloodstream infections (CLABSIs) using real clinical notes. Despite no pretraining, the model demonstrated rapid assessment and high sensitivity for CLABSI identification. Performance would improve with access to more patient data.
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Infection Control and Hospital Epidemiology provides original, peer-reviewed scientific articles for anyone involved with an infection control or epidemiology program in a hospital or healthcare facility. Written by infection control practitioners and epidemiologists and guided by an editorial board composed of the nation''s leaders in the field, ICHE provides a critical forum for this vital information.
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