The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients

The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients

We developed and validated a set of fully automated surveillance algorithms for healthcare-onset CDI using electronic health records. In a validation data set of 750 manually annotated admissions, the algorithm based on International Classification of Disease, Tenth Revision (ICD-10) code A04.7 had...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ANTIMICROBIAL STEWARDSHIP & HEALTHCARE EPIDEMIOLOGY 2022, Vol.2 (1), p.e43-e43, Article e43
Hauptverfasser: van der Werff, Suzanne Desirée, Fritzing, Mikael, Tanushi, Hideyuki, Henriksson, Aron, Dalianis, Hercules, Ternhag, Anders, Färnert, Anna, Nauclér, Pontus
Format: Artikel
Sprache:eng
Schlagworte:
Concise Communication
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:We developed and validated a set of fully automated surveillance algorithms for healthcare-onset CDI using electronic health records. In a validation data set of 750 manually annotated admissions, the algorithm based on International Classification of Disease, Tenth Revision (ICD-10) code A04.7 had insufficient sensitivity. Algorithms based on microbiological test results with or without addition of symptoms performed well.
ISSN:2732-494X
2732-494X
DOI:10.1017/ash.2022.32