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Definitions to data flow: Operationalizing MIABIS in HL7 FHIR.

Radovan Tomasik1, Simon Konar2, Niina Eklund3

  • 1Faculty of Informatics, Masaryk University, Botanická 68a, Brno, 60200, Czech Republic; Bank of Biological Material, Masaryk Memorial Cancer Institute, Žlutý kopec 7, Brno, 656 53, Czech Republic; BBMRI-ERIC, Neue Stiftingtalstrasse 2/B/6, Graz, 8010, Austria.

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Summary
This summary is machine-generated.

This study presents a machine-readable implementation of the Minimum Information About Biobank Standards (MIABIS) using HL7 FHIR. This enables seamless exchange of biobank and sample-level data, enhancing biomedical research interoperability and data reuse.

Keywords:
BiobankFAIRFHIRHL7InteroperabilityMIABIS

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Area of Science:

  • Biomedical Informatics
  • Biobanking
  • Data Standards

Background:

  • Biobanks are crucial for data-driven biomedical research, but lack standardized formats for sample data, hindering interoperability.
  • Existing conceptual models like MIABIS face adoption challenges due to abstractness and varied implementations.
  • Integrating diverse data sources (healthcare, registries, research) into biobanks requires a machine-readable solution.

Purpose of the Study:

  • To develop a pragmatic, operational implementation of MIABIS for real-world data exchange.
  • To create a standardized, machine-readable format for granular, sample-related biobank data.
  • To enhance the interoperability and reusability of biobank data in research and clinical settings.

Main Methods:

  • Systematic evaluation of data exchange standards, including HL7 FHIR and OMOP CDM.
  • Development of a FHIR-based representation of MIABIS, supporting complex biobank structures.
  • Creation of supporting tools: a Python library and an implementation guide for usability.

Main Results:

  • Nine interoperable FHIR profiles for core MIABIS entities were created, adhering to FHIR standards.
  • An open-source Python library was developed for schema validation and FHIR interaction abstraction.
  • The FHIR-based MIABIS implementation was validated using real-world data at BBMRI-ERIC and demonstrated compatibility with federated infrastructures.

Conclusions:

  • A machine-readable, interoperable MIABIS implementation is delivered, facilitating data exchange across biobanks and health systems.
  • Integration with HL7 FHIR provides reusable tools and a framework for future data model evolution.
  • This approach supports integration into clinical and research workflows, improving data discoverability, reuse, and collaboration.