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FAIRness for FHIR: Towards Making Health Datasets FAIR Using HL7 FHIR.
Martínez-García, Alicia; Cangioli, Giorgio; Chronaki, Catherine; Löbe, Matthias; Beyan, Oya; Juehne, Anthony; Parra-Calderón, Carlos Luis.
Afiliação
  • Martínez-García A; Group for Research and Innovation in Biomedical Informatics, Biomedical Engineering, and Health Economy. Institute of Biomedicine of Seville, IBiS/"Virgen del Rocío" University Hospital /CSIC/University of Seville, Seville, Spain.
  • Cangioli G; HL7 Foundation, Brussels, Belgium.
  • Chronaki C; HL7 Foundation, Brussels, Belgium.
  • Löbe M; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany.
  • Beyan O; Research Data Alliance, Reproducible Health Data Services WG.
  • Juehne A; University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute for Medical Informatics, Germany.
  • Parra-Calderón CL; Fraunhofer FIT, Sankt Augustin, Germany.
Stud Health Technol Inform ; 290: 22-26, 2022 Jun 06.
Article em En | MEDLINE | ID: mdl-35672963
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Nível Sete de Saúde Tipo de estudo: Guideline / Prognostic_studies 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 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Nível Sete de Saúde Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article