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Identifying central line-associated bloodstream infections – Full Text

"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" Rodriguez-Nava et al (2024).

"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" Rodriguez-Nava et al (2024).

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Identifying central line-associated bloodstream infections

Abstract:

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.

Reference:

Rodriguez-Nava G, Egoryan G, Goodman KE, Morgan DJ, Salinas JL. Performance of a large language model for identifying central line-associated bloodstream infections (CLABSI) using real clinical notes. Infect Control Hosp Epidemiol. 2024 Oct 30:1-4. doi: 10.1017/ice.2024.164. Epub ahead of print. PMID: 39473230.

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