Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record Data
Siri Lise van der Meijden, Anna M van Boekel, Laurens Schinkelshoek, Harry van Goor, Mark G. J. de Boer, Ewout Willem Steyerberg, Bart F. Geerts, M. Sesmu Arbous · Studies in health technology and informatics · 2023
Identification of postoperative infections based on retrospective patient data is currently done using manual chart review. We used a validated, automated labelling method based on registrations and treatments to develop a high-quality prediction model (AUC 0.81) for postoperative infections.