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Introducing the Database Schema Handling FHIR Data in the INTERPOLAR Project.

Matthias Reusche1, Sebastian Stäubert1, Alexander Strübing1

  • 1Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany.

Studies in Health Technology and Informatics
|May 17, 2025
PubMed
Summary
This summary is machine-generated.

The INTERPOLAR project developed a core data set tool chain using FHIR resources to analyze medication problems. This enables SQL-based data analysis and feedback from clinical users like pharmacists.

Keywords:
Core Data SetData SharingDatabase SchemaDatabase StructureHL7 FHIRMedical Data ScienceMedical InformaticsMedical Informatics Initiative

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Area of Science:

  • Medical Informatics
  • Health Data Management

Background:

  • Medication-related problems are a significant concern in healthcare.
  • Integrating routine patient data for analysis is challenging.

Purpose of the Study:

  • To investigate medication-related problems within the INTERPOLAR project.
  • To develop a tool chain for processing patient data from routine care.

Main Methods:

  • Designed a relational database as part of a core data set tool chain.
  • Processed patient data represented as Fast Healthcare Interoperability Resources (FHIR).
  • Enabled data access via SQL for analysis and reporting.

Main Results:

  • Facilitated easy performance of analyses and reports on patient data.
  • Enabled connection to electronic data capture systems for user feedback.
  • Provided a foundation for identifying and addressing medication-related issues.

Conclusions:

  • The developed tool chain effectively processes FHIR-based patient data for medication problem investigation.
  • SQL accessibility enhances data analysis and clinical user engagement.
  • Supports the German Medical Informatics Initiative's goals in improving medication safety.