Reliability of Multicentric Extracted EMR Data: Quantifying Amitriptyline Use in Elderly Patients – A POLAR_MI Study
The utilisation of routine clinical data is increasingly vital for analysing care quality and supporting clinical decisions. This study within the POLAR_MI consortium developed a FHIR-based distributed validation method to quantify amitriptyline prescriptions in patients aged ≥65 years. Data from 10 German university hospitals were aggregated and validated through bidirectional checks, achieving 100% accuracy for inpatient and 82.7% for outpatient amitriptyline identification. High inter-rater reliability (Krippendorff's Alpha = 0.9814) confirmed data validity. Our approach demonstrated the feasibility of using standardised FHIR specifications for robust, privacy-compliant evidence generation in large-scale pharmacovigilance studies.
Authors
- André Scherag (ORCID: https://orcid.org/0000-0002-9406-4704)
- Sven Schmiedl (ORCID: https://orcid.org/0000-0003-4844-0112)
- Florian Schmidt (ORCID: https://orcid.org/0000-0002-2197-0482)
- Frank Meineke
- Louisa Redeker (ORCID: https://orcid.org/0000-0003-4150-9084)
- Torsten Thalheim (ORCID: https://orcid.org/0000-0001-5489-7405)
- Miriam Kesselmeier (ORCID: https://orcid.org/0000-0001-6462-2579)
- Daniel Neumann
- Petra Thuermann
- Thomas Peschel (ORCID: https://orcid.org/0009-0007-5145-7798)
- Markus Loeffler
- Steffen Haerterich
Institutions
- Witten/Herdecke University (DE)
- Universität Hamburg (DE)
- University Medical Center Hamburg-Eppendorf (DE)
- Jena University Hospital (DE)
- Friedrich Schiller University Jena (DE)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3233/shti250573
- Citations
- 1
- Primary Topic
- Solid-state spectroscopy and crystallography
- Type
- article
- Field-Weighted Citation Impact
- 4.97
Funders
- Bundesministerium für Bildung und Forschung