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 |
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Hauptverfasser: | , , , , , , |
Format: | Artikel |
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. |
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ISSN: | 0899-823X 1559-6834 1559-6834 |
DOI: | 10.1017/ice.2024.140 |