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Transparent Reporting on Research Using Unstructured Electronic Health Record Data to Generate 'Real World' Evidence of Comparative Effectiveness and Safety.
Wang, Shirley V; Patterson, Olga V; Gagne, Joshua J; Brown, Jeffrey S; Ball, Robert; Jonsson, Pall; Wright, Adam; Zhou, Li; Goettsch, Wim; Bate, Andrew.
Afiliação
  • Wang SV; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont St Suite 303, Boston, MA, 02120, USA. swang1@bwh.harvard.edu.
  • Patterson OV; Division of Epidemiology, Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA.
  • Gagne JJ; VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
  • Brown JS; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont St Suite 303, Boston, MA, 02120, USA.
  • Ball R; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA.
  • Jonsson P; Food and Drug Administration, Silver Spring, MD, USA.
  • Wright A; National Institute for Health and Care Excellence, London, UK.
  • Zhou L; Department of General Internal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Goettsch W; Department of General Internal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Bate A; The National Healthcare Institute (ZIN), Diemen, The Netherlands.
Drug Saf ; 42(11): 1297-1309, 2019 11.
Article em En | MEDLINE | ID: mdl-31452075
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Processamento de Linguagem Natural / Bases de Dados Factuais / Armazenamento e Recuperação da Informação / Registros Eletrônicos de Saúde Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Processamento de Linguagem Natural / Bases de Dados Factuais / Armazenamento e Recuperação da Informação / Registros Eletrônicos de Saúde Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article