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The National Institutes of Health's Biomedical Translational Research Information System (BTRIS): design, contents, functionality and experience to date.
Cimino, James J; Ayres, Elaine J; Remennik, Lyubov; Rath, Sachi; Freedman, Robert; Beri, Andrea; Chen, Yang; Huser, Vojtech.
Afiliação
  • Cimino JJ; Laboratory for Informatics Development, NIH Clinical Center, Bethesda, MD, United States. Electronic address: ciminoj@mail.nih.gov.
  • Ayres EJ; Laboratory for Informatics Development, NIH Clinical Center, Bethesda, MD, United States.
  • Remennik L; Laboratory for Informatics Development, NIH Clinical Center, Bethesda, MD, United States.
  • Rath S; Computer Sciences Corporation, Falls Church, VA, United States.
  • Freedman R; Computer Sciences Corporation, Falls Church, VA, United States.
  • Beri A; Computer Sciences Corporation, Falls Church, VA, United States.
  • Chen Y; Computer Sciences Corporation, Falls Church, VA, United States.
  • Huser V; Laboratory for Informatics Development, NIH Clinical Center, Bethesda, MD, United States.
J Biomed Inform ; 52: 11-27, 2014 Dec.
Article em En | MEDLINE | ID: mdl-24262893
The US National Institutes of Health (NIH) has developed the Biomedical Translational Research Information System (BTRIS) to support researchers' access to translational and clinical data. BTRIS includes a data repository, a set of programs for loading data from NIH electronic health records and research data management systems, an ontology for coding the disparate data with a single terminology, and a set of user interface tools that provide access to identified data from individual research studies and data across all studies from which individually identifiable data have been removed. This paper reports on unique design elements of the system, progress to date and user experience after five years of development and operation.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Gerenciamento de Base de Dados / Pesquisa Biomédica / Pesquisa Translacional Biomédica / Ontologias Biológicas Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Gerenciamento de Base de Dados / Pesquisa Biomédica / Pesquisa Translacional Biomédica / Ontologias Biológicas Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2014 Tipo de documento: Article