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Stud Health Technol Inform ; 294: 465-469, 2022 May 25.
Artigo em Inglês | MEDLINE | ID: mdl-35612123

RESUMO

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.


Assuntos
Aprendizado de Máquina , Software , Bases de Dados Factuais , Registros Eletrônicos de Saúde , Humanos
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