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Transforming Data from a Commercial Hospital Information System into FHIR.

Jördis Beck1, Romina Blasini1, Achim Michel-Backofen1,2

  • 1Data Integration Center, Institute of Medical Informatics, Justus Liebig University, Giessen, Germany.

Studies in Health Technology and Informatics
|May 17, 2025
PubMed
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Hospital information systems (HIS) data can now support medical research through standardized formats. MEONA HIS data was converted to FHIR, enabling easier analysis of patient information for research purposes.

Area of Science:

  • Health Informatics
  • Medical Data Management
  • Clinical Research Data Standards

Background:

  • The increasing adoption of hospital information systems (HIS) generates vast amounts of clinical data.
  • Leveraging routine clinical data for medical research requires standardized data formats for analysis.
  • Existing HIS data structures are often complex and not directly interoperable for research.

Purpose of the Study:

  • To transform data from the MEONA hospital information system into the standardized FHIR (Fast Healthcare Interoperability Resources) format.
  • To establish a continuous data extraction pipeline for research purposes.
  • To facilitate the use of routinely collected clinical data for medical research.

Main Methods:

  • Utilized mirthConnect software to map and convert data from the MEONA HIS to FHIR resources.
Keywords:
FHIRMeonahospital information systeminteroperability

Related Experiment Videos

  • Implemented daily SQL queries to extract patient, encounter, condition, and procedure data.
  • Developed a process for ongoing data extraction and transformation.

    • Main Results:

    • Successfully migrated key clinical data elements (patient, encounter, condition, procedure) from MEONA to FHIR.
    • Established an automated daily data extraction process.
    • Created a foundation for further data field expansion within the FHIR format.

    Conclusions:

    • The conversion of MEONA HIS data to FHIR is feasible and supports research data standardization.
    • Automated data extraction pipelines are crucial for continuous data availability in research.
    • Further development is needed to incorporate more complex data fields into the FHIR format for comprehensive research analysis.