Validation of electronic health record data to identify hospital-associated Clostridioides difficile infections for retrospective research

Clostridioides difficile infection (CDI) research relies upon accurate identification of cases when using electronic health record (EHR) data. We developed and validated a multi-component algorithm to identify hospital-associated CDI using EHR data and determined that the tandem of CDI-specific trea...

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Veröffentlicht in:Infection control and hospital epidemiology 2024-10, Vol.45 (12), p.1472-1474
Hauptverfasser: Ray, Michael J., Lacanilao, Kathleen L., Lazaro, Maela Robyne, Strnad, Luke C., Furuno, Jon P., Royster, Kelly, McGregor, Jessina C.
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Sprache:eng
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Zusammenfassung:Clostridioides difficile infection (CDI) research relies upon accurate identification of cases when using electronic health record (EHR) data. We developed and validated a multi-component algorithm to identify hospital-associated CDI using EHR data and determined that the tandem of CDI-specific treatment and laboratory testing has 97% accuracy in identifying HA-CDI cases.
ISSN:0899-823X
1559-6834
1559-6834
DOI:10.1017/ice.2024.140