Transforming Data from a Commercial Hospital Information System into FHIR

The expanded use of hospital information systems in recent decades offers possibilities to use data collected in the clinical routine not only for individual patient care, but also for medical research. For this purpose, it is important use standardized formats so it can be analyzed. To achieve this goal, we brought data from the hospital information system MEONA into FHIR using the software mirthConnect. SQL-queries run on a daily basis to extract patient, encounter, condition and procedure resources continuously. Further work is ongoing to extend the extraction of information to more data fields from the complex data structures.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250452
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
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article

Transforming Data from a Commercial Hospital Information System into FHIR

Jürgen Beck, Romina Blasini, Achim Michel-Backofen
Studies in health technology and informatics
Data Quality and Management
article

Transforming Data from a Commercial Hospital Information System into FHIR

Jürgen Beck, Romina Blasini, Achim Michel-Backofen
article en

Abstract

The expanded use of hospital information systems in recent decades offers possibilities to use data collected in the clinical routine not only for individual patient care, but also for medical research. For this purpose, it is important use standardized formats so it can be analyzed. To achieve this goal, we brought data from the hospital information system MEONA into FHIR using the software mirthConnect. SQL-queries run on a daily basis to extract patient, encounter, condition and procedure resources continuously. Further work is ongoing to extend the extraction of information to more data fields from the complex data structures.

Studies in health technology and informaticsVol. 327
Justus-Liebig-Universität Gießen (DE)
Openalex Percentile: Top 72%
Data Quality and Management
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