Validation of an algorithm for semiautomated surveillance to detect deep surgical site infections after primary total hip or knee arthroplasty-A multicenter study.

Janneke Doortje Maria VerberkStephanie M van RoodenMayke B G KoekDavid J HetemAnnelies E SmildeWendy S BrilRoel H R A StreefkerkTitia E M HopmansMarc J M BontenSabine C de GreeffMaaike S M van Mourik

Published in: Infection control and hospital epidemiology (2020)

This algorithm reliably detects patients with a high probability of having developed deep SSI after THA or TKA in Dutch hospitals. Our results provide essential information for successful implementation of semiautomated surveillance for deep SSIs after THA or TKA.

Keyphrases

total knee arthroplasty
total hip
public health
machine learning
healthcare
deep learning
primary care
health information