Koçman S, Köster H, Gulden C, Kapsner L, Engel I, Prokosch HU, Mang JM (2025)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2025
Publisher: IOS Press
Edited Volumes: Intelligent Health Systems – From Technology to Data and Knowledge
Series: Studies in Health Technology and Informatics
Book Volume: 327
Pages Range: 703-707
DOI: 10.3233/SHTI250439
The use of electronic health records for clinical research offers access to large-scale real-world data, but it requires the accurate transformation of data across clinical data repositories. In this study, we evaluate the data quality and completeness in three repositories (DWH, FHIR, and TriNetX) at Erlangen University Hospital. Key data elements (diagnosis, procedure, and laboratory codes) were analyzed, alongside a specific research question. Our results show good overall consistency, but discrepancies arise due to differences in code systems, data filtering, and the mapping process. These findings highlight the importance of critically assessing data provenance and the transformation processes when conducting multicenter research. Understanding the strengths and limitations of each repository is essential for ensuring high-quality research outcomes.
APA:
Koçman, S., Köster, H., Gulden, C., Kapsner, L., Engel, I., Prokosch, H.-U., & Mang, J.M. (2025). Is Research Data Trustworthy? A Quality Comparison Between FHIR, Trinetx and Clinical Data Sources. In Elisavet Andrikopoulou, Parisis Gallos, Theodoros N. Arvanitis, Rosalynn Austin, Arriel Benis, Ronald Cornet, Panagiotis Chatzistergos, Alexander Dejaco, Linda Dusseljee-Peute, Alaa Mohasseb, Pantelis Natsiavas, Haythem Nakkas, Philip Scott (Eds.), Intelligent Health Systems – From Technology to Data and Knowledge. (pp. 703-707). IOS Press.
MLA:
Koçman, Sude, et al. "Is Research Data Trustworthy? A Quality Comparison Between FHIR, Trinetx and Clinical Data Sources." Intelligent Health Systems – From Technology to Data and Knowledge. Ed. Elisavet Andrikopoulou, Parisis Gallos, Theodoros N. Arvanitis, Rosalynn Austin, Arriel Benis, Ronald Cornet, Panagiotis Chatzistergos, Alexander Dejaco, Linda Dusseljee-Peute, Alaa Mohasseb, Pantelis Natsiavas, Haythem Nakkas, Philip Scott, IOS Press, 2025. 703-707.
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