DQ(e)-v: A Database-Agnostic Framework for Exploring Variability in Electronic Health Record Data Across Time and Site Location

Data variability is a commonly observed phenomenon in Electronic Health Records (EHR) data networks. A common question asked in scientific investigations of EHR data is whether the cross-site and -time variability reflects an underlying data quality error at one or more contributing sites versus act...

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Detalles Bibliográficos
Autores principales: Estiri, Hossein, Stephens, Kari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994933/
https://www.ncbi.nlm.nih.gov/pubmed/29930954
http://dx.doi.org/10.13063/2327-9214.1277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994933/
https://www.ncbi.nlm.nih.gov/pubmed/29930954
http://dx.doi.org/10.13063/2327-9214.1277

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