A comparison of an algorithm, and coding data, with traditional surveillance to identify surgical site infections in Australia: A retrospective multicentred cohort study
Surveillance of healthcare associated infections (HAIs) in Australia is disparate, resource intensive, unsustainable and provides limited information. Traditional HAI surveillance is time intensive and agreement levels between clinicians has been shown to be variable. The aim was to compare two methods, a semi-automated algorithm, and coding data, against traditional surgical site infections (SSI) surveillance methods.