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A comprehensive framework for data quality assessment in CER

The panel addresses the urgent need to ensure that comparative effectiveness research (CER) findings derived from diverse and distributed data sources are based on credible, high-quality data; and that the methods used to assess and report data quality are consistent, comprehensive, and available to...

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Detalhes bibliográficos
Main Authors: Holve, Erin, Kahn, Michael, Nahm, Meredith, Ryan, Patrick, Weiskopf, Nicole
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Informatics Association 201
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3845781/
https://ncbi.nlm.nih.gov/pubmed/24303241
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