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Using Health IT Standards to Facilitate Metadata Exchange Between Research Data Management Systems.
Löbe, Matthias; Hu, Xiaoming; Klopfenstein, Sophie A I.
Afiliación
  • Löbe M; Institute for Medical Informatics (IMISE), University of Leipzig, Germany.
  • Hu X; Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany.
  • Klopfenstein SAI; Core Facility Digital Medicine and Interoperability, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Germany.
Stud Health Technol Inform ; 316: 1413-1417, 2024 Aug 22.
Article en En | MEDLINE | ID: mdl-39176645
ABSTRACT
The National Research Data Infrastructure for Personal Health Data (NFDI4Health) uses Local Data Hubs (LDHs) to manage locally research studies, documents and sensitive personal data to support controlled data sharing. While research data management (RDM) systems facilitate the storage and preparation of data and metadata as well as organizational access, they often lack support for interoperability standards of the application domain. To support the exchange with external registries of research studies, we chose 17 attributes to characterize the most relevant aspects of clinical trials (in the following named "metadata profile"). We implemented the metadata profile in the RDM system FAIRDOM SEEK using core attributes and SEEK's extended metadata feature and created a mapping conforming to the Health Level 7 Fast Healthcare Interoperability Resources (FHIR) standard version R4. Finally, we implemented a prototype application interface for exports in FHIR-JSON format. We plan to extend the interface to serve central registries and support specific FHIR Implementation Guides from various use cases.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Metadatos Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Metadatos Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article