Study Calls for Improved Staffing in Pediatric Infection Control
A recent study in the American Journal of Infection Control highlights the urgent need for improved staffing in infection prevention at children’s hospitals. Focusing on Boston Children’s Hospital, the research reveals that traditional metrics for determining infection preventionist staffing are outdated, emphasizing the complexities of modern healthcare. The study calls for a reevaluation of infection control staffing strategies to enhance patient safety and support pediatric healthcare.
Generative AI Improves Healthcare-Associated Infection Surveillance, Study Finds
Researchers have found that generative artificial intelligence (AI) could improve healthcare-associated infection (HAI) surveillance programs, addressing the significant challenge of HAIs in healthcare. The study assessed the accuracy of two large language models in identifying central line-associated bloodstream infection (CLABSI) and catheter-associated urinary tract infection (CAUTI) in clinical scenarios, showing promising results for AI in enhancing infection surveillance programs.