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

Reviews in Medical Informatics (515) Clinical Informatics (2383) Clinical Information and Decision Making (3883) Electronic Health Records (1788) Secondary Use of Clinical Data for Research and Surveillance (656) Perioperative Infection Control and Prevention (17) Postoperative Monitoring and Telemonitoring (260) Nosocomial Infections (36)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57195, first published .
Medical professional uses a futuristic tablet displaying a human anatomy scan and vital signs.

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 (11) 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
  2. Macieira T, Cho H, Bjarnadottir R, Pruinelli L. Emerging Technological Innovations in Perioperative Nursing. AORN Journal 2026;123(1):46 View
  3. van Grootveld R, van der Beek M, Buil J, Schoffelen A, de Greeff S, Bosch T, de Boer M, Kuijper E, Verweij P. From Aspergillus fumigatus pathogen surveillance to Aspergillus disease surveillance. Journal of Hospital Infection 2026;172:53 View
  4. Al-Smadi F, Al-Smadi S, Xie X, Abudourusuli X, Ouyang L, Zeng R, Du L, Liao Y, Mi B, Liu G. Artificial intelligence and robotic technologies redefining precision and personalization in orthopedic surgery: a narrative review. Frontiers in Bioengineering and Biotechnology 2026;14 View
  5. Wiggli B, Alfare L, Pfister L, Schneider N, Wertli M, Ayoson J. Automated algorithm in catheter-associated urinary tract infection identification using digital health records: validity and barriers in implementation into clinical practice. BMC Medical Informatics and Decision Making 2026;26(1) View
  6. Trasca E, Radulescu D, Ciupeanu-Calugaru E, Mercut R, Baleanu V, Caluianu E, Vieru A, Radulescu P. Interpreting Abdominal Surgical-Site Infection Trends Across the COVID-19 Shock: A Critical Narrative Review and the SSI Signal-Validity Framework. Life 2026;16(8):1320 View
  7. Sun X, Chen J, He L, Wang S, Li D. Development and internal validation of a clinical prediction model for postoperative urinary tract infection in older surgical patients: a retrospective cohort study. BMC Geriatrics 2026;26(1) View
  8. Mott N, Zubkov M, Shen G, Henderson W, Hider A, Bronsert M, Su Y, Zhuang Y, Fei Y, Lambert-Kerzner A, Myers Q, Colborn K, Meguid R. Pilot Application of Automated Surveillance of Postoperative Infections (ASPIN) to Monitor Patient Outcomes. The American Journal of Surgery 2026:117264 View
  9. Alfattni G. Structured Prompt-Based NLP for Infection-Related Classification in Clinical Documentation. Engineering, Technology & Applied Science Research 2026;16(5):40164 View

Conference Proceedings

  1. Shorvon M, Mayhew M. 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Machine Learning-Based Adjudication of Acute Infection for Diagnostic Classifier Development with Silver-Standard Labels View

Dissertations

  1. . Intégration et utilisation secondaire des données de santé hospitalières hétérogènes : des usages locaux à l'analyse fédérée. View