Definitions to data flow: Operationalizing MIABIS in HL7 FHIR
This work delivers a machine-readable, interoperable implementation of MIABIS, enabling the exchange of both organisational and sample-level data across biobanks and health information systems. By integrating MIABIS with HL7 FHIR, we provide a host of reusable tools and mechanisms for further evolution of the data model. Combined, these benefits can help with the integration into clinical and research workflows, supporting data discoverability, reuse, and cross-institutional collaboration in biomedical research.
Authors
- Petr Holub (ORCID: https://orcid.org/0000-0002-5358-616X)
- Zdenka Dudová (ORCID: https://orcid.org/0000-0002-7615-1396)
- Roman Hrstka (ORCID: https://orcid.org/0000-0002-6139-2664)
- Niina Eklund (ORCID: https://orcid.org/0000-0001-5103-5914)
- Cäcilia Engels (ORCID: https://orcid.org/0000-0003-1448-7190)
- Radovan Tomášik (ORCID: https://orcid.org/0000-0002-8671-5669)
- Radoslava Kacová
Institutions
- Masaryk University (CZ)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- Biobanking and Biomolecular Resources Research Infrastructure Consortium (AT)
- Masaryk Memorial Cancer Institute (CZ)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Journal of Biomedical Informatics
- Published
- 2025-09-27
- DOI
- https://doi.org/10.1016/j.jbi.2025.104919
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00