Electronic health record data quality assessment and tools: a systematic review.

Lewis, Abigail E; Weiskopf, Nicole; Abrams, Zachary B; Foraker, Randi; Lai, Albert M; Payne, Philip R O; Gupta, Aditi

Lewis, Abigail E; Weiskopf, Nicole; Abrams, Zachary B; Foraker, Randi; Lai, Albert M; Payne, Philip R O; Gupta, Aditi.

Afiliación

Lewis AE; Division of Computational and Data Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
Weiskopf N; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA.
Abrams ZB; Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA.
Foraker R; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA.
Lai AM; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA.
Payne PRO; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA.
Gupta A; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA.

J Am Med Inform Assoc ; 30(10): 1730-1740, 2023 09 25.

Article en En | MEDLINE | ID: mdl-37390812

Asunto(s)

Exactitud de los Datos; Registros Electrónicos de Salud

Palabras clave

clinical research informatics; data quality; electronic health records

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Registros Electrónicos de Salud / Exactitud de los Datos Tipo de estudio: Qualitative_research / Systematic_reviews Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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