The study investigates the possibility of automating the reporting of healthcare-associated infections (HCAIs) using linked electronic health records (EHR) to improve accuracy and efficiency.
Findings show that while the total cases reported via manual and automated methods are similar, discrepancies mostly originated from manual recording errors.
The conclusion suggests that automating data collection could enhance accuracy, reduce time spent on reporting, and allow healthcare professionals to concentrate more on clinical duties.
Background: Candida auris is an emerging and multidrug-resistant pathogen. Here we report the epidemiology of a hospital outbreak of C. auris colonization and infection.