This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (106) Clinical Informatics (1258) Clinical Information and Decision Making (1810) Electronic Health Records (1272) Postoperative Monitoring and Telemonitoring (178) Nosocomial Infections (28) Perioperative Infection Control and Prevention (9) Secondary Use of Clinical Data for Research and Surveillance (453)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57195, first published .
Automated Identification of Postoperative Infections to Allow Prediction and Surveillance Based on Electronic Health Record Data: Scoping Review

Automated Identification of Postoperative Infections to Allow Prediction and Surveillance Based on Electronic Health Record Data: Scoping Review

Automated Identification of Postoperative Infections to Allow Prediction and Surveillance Based on Electronic Health Record Data: Scoping Review

Authors of this article:

Siri Lise van der Meijden1, 2 Author Orcid Image ;   Anna M van Boekel1 Author Orcid Image ;   Harry van Goor3 Author Orcid Image ;   Rob GHH Nelissen4 Author Orcid Image ;   Jan W Schoones5 Author Orcid Image ;   Ewout W Steyerberg6 Author Orcid Image ;   Bart F Geerts2 Author Orcid Image ;   Mark GJ de Boer7 Author Orcid Image ;   M Sesmu Arbous1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Han F, Huang X, Wang X, Chen Y, Lu C, Li S, Lu L, Zhang D. Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions. MedComm 2025;6(7) View