Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record Data

Stud Health Technol Inform. 2023 May 18:302:348-349. doi: 10.3233/SHTI230134.

Abstract

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.

Keywords: Artificial Intelligence; Electronic Health Record; Postoperative infections; Prediction.

MeSH terms

  • Algorithms
  • Electronic Health Records*
  • Humans
  • Machine Learning
  • Postoperative Complications*
  • Retrospective Studies