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Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study.
Pfaff, Emily Rose; Champion, James; Bradford, Robert Louis; Clark, Marshall; Xu, Hao; Fecho, Karamarie; Krishnamurthy, Ashok; Cox, Steven; Chute, Christopher G; Overby Taylor, Casey; Ahalt, Stan.
Afiliação
  • Pfaff ER; North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Champion J; North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Bradford RL; North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Clark M; North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Xu H; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Fecho K; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Krishnamurthy A; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Cox S; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Chute CG; Johns Hopkins University, Baltimore, MD, United States.
  • Overby Taylor C; Johns Hopkins University, Baltimore, MD, United States.
  • Ahalt S; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
JMIR Med Inform ; 7(4): e15199, 2019 Oct 16.
Article em En | MEDLINE | ID: mdl-31621639
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos