A Data Transformation Methodology to Create Findable, Accessible, Interoperable, and Reusable Health Data: Software Design, Development, and Evaluation Study

[Background] Sharing health data is challenging because of several technical, ethical, and regulatory issues. The Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles have been conceptualized to enable data interoperability. Many studies provide implementation guidelines, asse...

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Detalles Bibliográficos
Autores: Sinaci, A. Anil, Gencturk, Mert, Teoman, Huseyin Alper, Laleci Erturkmen, Gokce Banu, Álvarez-Romero, Celia, Martínez-García, Alicia, Poblador-Plou, Beatriz, Carmona-Pírez, Jonás, Löbe, Matthias, Parra-Calderón, Carlos Luis
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/333023
Acceso en línea:http://hdl.handle.net/10261/333023
https://api.elsevier.com/content/abstract/scopus_id/85150000389
Access Level:acceso abierto
Palabra clave:Secondary use
FAIR principles
Findable
Accessible
Interoperable
Reusable
HL7 FHIR
Health Level 7 Fast Healthcare Interoperability Resources
Health data sharing
Health data transformation
Descripción
Sumario:[Background] Sharing health data is challenging because of several technical, ethical, and regulatory issues. The Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles have been conceptualized to enable data interoperability. Many studies provide implementation guidelines, assessment metrics, and software to achieve FAIR-compliant data, especially for health data sets. Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR) is a health data content modeling and exchange standard.

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