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Enhancing PCORnet Clinical Research Network data completeness by integrating multistate insurance claims with electronic health records in a cloud environment aligned with CMS security and privacy requirements.
Waitman, Lemuel R; Song, Xing; Walpitage, Dammika Lakmal; Connolly, Daniel C; Patel, Lav P; Liu, Mei; Schroeder, Mary C; VanWormer, Jeffrey J; Mosa, Abu Saleh; Anye, Ernest T; Davis, Ann M.
Afiliação
  • Waitman LR; Department of Health Informatics, University of Missouri School of Medicine, Columbia, Missouri, USA.
  • Song X; Department of Health Informatics, University of Missouri School of Medicine, Columbia, Missouri, USA.
  • Walpitage DL; Department of Internal Medicine, Enterprise Analytics, University of Kansas Medical Center, Kansas City, Kansas, USA.
  • Connolly DC; Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.
  • Patel LP; Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.
  • Liu M; Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.
  • Schroeder MC; Division of Health Services Research, Department of Pharmacy Practice and Science, University of Iowa, Iowa City, Iowa, USA.
  • VanWormer JJ; Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA.
  • Mosa AS; Department of Health Informatics, University of Missouri School of Medicine, Columbia, Missouri, USA.
  • Anye ET; Office of Information Security, University of Missouri Health, Columbia, Missouri, USA.
  • Davis AM; Department of Pediatrics, University of Kansas Medical Center, Kansas City, Kansas, USA.
J Am Med Inform Assoc ; 29(4): 660-670, 2022 03 15.
Article em En | MEDLINE | ID: mdl-34897506
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Privacidade / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies Limite: Aged / Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Privacidade / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies Limite: Aged / Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article