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

Siri Lise van der Meijden   1, 2 , MSc ;   Anna M van Boekel   1 , MD ;   Harry van Goor   3 , MD, PhD ;   Rob GHH Nelissen   4 , MD, PhD ;   Jan W Schoones   5 , MA ;   Ewout W Steyerberg   6 , PhD ;   Bart F Geerts   2 , MD, MBA, PhD ;   Mark GJ de Boer   7 , MD, PhD ;   M Sesmu Arbous   1 , MD, PhD

1 Intensive Care Unit, Leiden University Medical Center, Leiden, Netherlands

2 Healthplus.ai BV, Amsterdam, Netherlands

3 General Surgery Department, Radboud University Medical Center, Nijmegen, Netherlands

4 Department of Orthopedics, Leiden University Medical Center, Leiden, Netherlands

5 Directorate of Research Policy, Leiden University Medical Center, Leiden, Netherlands

6 Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands

7 Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands

Corresponding Author: