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Incrementally Transforming Electronic Medical Records into the Observational Medical Outcomes Partnership Common Data Model: A Multidimensional Quality Assurance Approach.
Lynch, Kristine E; Deppen, Stephen A; DuVall, Scott L; Viernes, Benjamin; Cao, Aize; Park, Daniel; Hanchrow, Elizabeth; Hewa, Kushan; Greaves, Peter; Matheny, Michael E.
Afiliación
  • Lynch KE; VA Salt Lake City Health Care System, Salt Lake City, Utah, United States.
  • Deppen SA; Department of Internal Medicine, Division of Epidemiology, University of Utah, Salt Lake City, Utah, United States.
  • DuVall SL; Vanderbilt University Medical Center, Nashville, Tennessee, United States.
  • Viernes B; VA Salt Lake City Health Care System, Salt Lake City, Utah, United States.
  • Cao A; Department of Internal Medicine, Division of Epidemiology, University of Utah, Salt Lake City, Utah, United States.
  • Park D; VA Salt Lake City Health Care System, Salt Lake City, Utah, United States.
  • Hanchrow E; Department of Internal Medicine, Division of Epidemiology, University of Utah, Salt Lake City, Utah, United States.
  • Hewa K; Vanderbilt University Medical Center, Nashville, Tennessee, United States.
  • Greaves P; Tennessee Valley Healthcare System, Nashville, Tennessee, United States.
  • Matheny ME; Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Appl Clin Inform ; 10(5): 794-803, 2019 10.
Article en En | MEDLINE | ID: mdl-31645076
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Garantía de la Calidad de Atención de Salud / Modelos Estadísticos / Registros Electrónicos de Salud Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Appl Clin Inform Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Garantía de la Calidad de Atención de Salud / Modelos Estadísticos / Registros Electrónicos de Salud Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Appl Clin Inform Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos