Surveillance of central line-associated bloodstream infections at a pediatric medical center

"We assessed the accuracy of a large language model (LLM) for clinical decision support for central line-associated bloodstream infection (CLABSI) identification" Stevenson et al (2026).

"We assessed the accuracy of a large language model (LLM) for clinical decision support for central line-associated bloodstream infection (CLABSI) identification" Stevenson et al (2026).

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Surveillance of central line-associated bloodstream infections at a pediatric medical center

Abstract:

We assessed the accuracy of a large language model (LLM) for clinical decision support for central line-associated bloodstream infection (CLABSI) identification. Comparing LLM-assisted to manual review, the LLM could efficiently identify CLABSI and secondary BSIs with high sensitivity and specificity. Infection preventionists reported high satisfaction with the tool.

Reference:

Stevenson C, McHugh M, Alburei A, Singh S, Morin E, Kolagani R, Fishbein J, Kociolek LK, Rosenthal A. Use of a large language model for surveillance of central line-associated bloodstream infections at a pediatric medical center. Infect Control Hosp Epidemiol. 2026 Apr 1:1-3. doi: 10.1017/ice.2026.10435. Epub ahead of print. PMID: 41919525.