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

Siri Lise van der MeijdenAnna M van BoekelHarry Van GoorRob R G H H NelissenJohan A F KoekkoekEwout Willem SteyerbergBart F GeertsMark G J de BoerMendi Sesmu Arbous
Published in: JMIR medical informatics (2024)
There is currently no evidence to support fully automated labeling and identification of patients with infections based solely on structured EHR data. Future research should focus on defining uniform definitions, as well as prioritizing the development of more scalable, automated methods for infection detection using structured EHR data.
Keyphrases
  • electronic health record
  • clinical decision support
  • machine learning
  • deep learning
  • high throughput
  • adverse drug
  • public health
  • big data
  • bioinformatics analysis
  • current status
  • artificial intelligence