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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...

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Main Authors: Suzanne Desirée van der Werff (Author), Mikael Fritzing (Author), Hideyuki Tanushi (Author), Aron Henriksson (Author), Hercules Dalianis (Author), Anders Ternhag (Author), Anna Färnert (Author), Pontus Nauclér (Author)
Format: Book
Published: Cambridge University Press, 2022-01-01T00:00:00Z.
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Summary: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.
Item Description:10.1017/ash.2022.32
2732-494X

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