External Validation of an Algorithm to Identify Patients with High Data-Completeness in Electronic Health Records for Comparative Effectiveness Research.

Lin, Kueiyu Joshua; Rosenthal, Gary E; Murphy, Shawn N; Mandl, Kenneth D; Jin, Yinzhu; Glynn, Robert J; Schneeweiss, Sebastian

Lin, Kueiyu Joshua; Rosenthal, Gary E; Murphy, Shawn N; Mandl, Kenneth D; Jin, Yinzhu; Glynn, Robert J; Schneeweiss, Sebastian.

Afiliación

Lin KJ; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Rosenthal GE; Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Murphy SN; Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Mandl KD; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Jin Y; Research Information Science and Computing, Partners Healthcare, Somerville, MA, USA.
Glynn RJ; Computational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Schneeweiss S; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Clin Epidemiol ; 12: 133-141, 2020.

Article en En | MEDLINE | ID: mdl-32099479

Palabras clave

comparative effectiveness research; continuity; data linkage; electronic medical records; external validation; information bias

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Clin Epidemiol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Nueva Zelanda

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