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- W4281482939 abstract "Order sets that adhere to disease-specific guidelines have been shown to increase clinician efficiency and patient safety but curating these order sets, particularly for consistency across multiple sites, is difficult and time consuming. We created software called CDS-Compare to alleviate the burden on expert reviewers in rapidly and effectively curating large databases of order sets. We applied our clustering-based software to a database of NLP-processed order sets extracted from VA’s Electronic Health Record, then had subject-matter experts review the web application version of our software for clustering validity." @default.
- W4281482939 created "2022-05-26" @default.
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- W4281482939 date "2022-05-25" @default.
- W4281482939 modified "2023-09-30" @default.
- W4281482939 title "CDS-Compare: A Web Application for Machine Learning Assisted Curation of Clinical Order Sets" @default.
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- W4281482939 doi "https://doi.org/10.3233/shti220502" @default.
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