Data-driven discovery of changes in clinical code usage over time: a case-study on changes in cardiovascular disease recording in two English electronic health records databases (2001–2015)

OBJECTIVES: To demonstrate how data-driven variability methods can be used to identify changes in disease recording in two English electronic health records databases between 2001 and 2015. DESIGN: Repeated cross-sectional analysis that applied data-driven temporal variability methods to assess mont...

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Detalles Bibliográficos
Autores principales: Rockenschaub, Patrick, Nguyen, Vincent, Aldridge, Robert W, Acosta, Dionisio, García-Gómez, Juan Miguel, Sáez, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Health Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045100/
https://www.ncbi.nlm.nih.gov/pubmed/32060159
http://dx.doi.org/10.1136/bmjopen-2019-034396

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045100/
https://www.ncbi.nlm.nih.gov/pubmed/32060159
http://dx.doi.org/10.1136/bmjopen-2019-034396

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