Julie T Wu, Bradley J Langford, Erica S Shenoy, Evan Carey, Westyn Branch-Elliman
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引用次数: 0
Abstract
Rodriguez-Nava et al. present a proof-of-concept study evaluating the use of a secure large language model (LLM) approved for healthcare data for retrospective identification of a specific healthcare-associated infection (HAI)-central line-associated bloodstream infections-from real patient data for the purposes of surveillance.1 This study illustrates a promising direction for how LLMs can, at a minimum, semi-automate or streamline HAI surveillance activities.
期刊介绍：
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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