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Near Real Time EHR Data Utilization in a Clinical Study.
Penning, Melody L; Blach, Collette; Walden, Anita; Wang, Pei; Donovan, Katrina M; Garza, Maryam Y; Wang, Zhan; Frund, Julie; Syed, Shorabuddin; Syed, Mahanazuddin; Del Fiol, Guilherme; Newby, L Kristin; Pieper, Carl; Zozus, Meredith.
Afiliación
  • Penning ML; University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Blach C; Duke University Molecular Physiology Institute, Durham NC, USA.
  • Walden A; University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Wang P; University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Donovan KM; University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Garza MY; University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Wang Z; University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Frund J; University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Syed S; University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Syed M; University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Del Fiol G; Depart of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
  • Newby LK; Duke Clinical & Translational Science Institute, Duke University Medical Center, Durham, NC, USA.
  • Pieper C; Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, USA.
  • Zozus M; University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Stud Health Technol Inform ; 270: 337-341, 2020 Jun 16.
Article en En | MEDLINE | ID: mdl-32570402
Extraction and use of Electronic Health Record (EHR) data is common in retrospective observational studies. However, electronic extraction and use of EHR data is rare during longitudinal prospective studies. One of the reasons is the amount of processing needed to assess data quality and assure consistency in meaning and format across multiple investigational sites. We report a case study of and lessons learned from acquisition and processing of EHR data in an ongoing basis during a clinical study.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Asunto principal: Registros Electrónicos de Salud Tipo de estudio: Observational_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Asunto principal: Registros Electrónicos de Salud Tipo de estudio: Observational_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
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