Development and Validation of Algorithms to Identify COVID-19 Patients Using a US Electronic Health Records Database: A Retrospective Cohort Study

INTRODUCTION: In order to identify and evaluate candidate algorithms to detect COVID-19 cases in an electronic health record (EHR) database, this study examined and compared the utilization of acute respiratory disease codes from February to August 2020 versus the corresponding time period in the 3...

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Detalles Bibliográficos
Autores principales: Brown, Carolyn A, Londhe, Ajit A, He, Fang, Cheng, Alvan, Ma, Junjie, Zhang, Jie, Brooks, Corinne G, Sprafka, J Michael, Roehl, Kimberly A, Carlson, Katherine B, Page, John H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139367/
https://www.ncbi.nlm.nih.gov/pubmed/35633659
http://dx.doi.org/10.2147/CLEP.S355086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139367/
https://www.ncbi.nlm.nih.gov/pubmed/35633659
http://dx.doi.org/10.2147/CLEP.S355086

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