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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.
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.
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.
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