A distributed analysis approach for pharmacovigilance data from electronic medical records in German university hospitals: the POLAR_MI ETL Pipeline.

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Title: A distributed analysis approach for pharmacovigilance data from electronic medical records in German university hospitals: the POLAR_MI ETL Pipeline.
Authors: Kesselmeier M; Institute of Medical Statistics, Computer and Data Sciences (IMSID), Jena University Hospital-Friedrich Schiller University Jena, Jena, Germany. miriam.kesselmeier@med.uni-jena.de., Thalheim T; Interdisciplinary Centre for Bioinformatics, Leipzig University, Leipzig, Germany.; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany.; Deutsches Biomasseforschungszentrum gGmbH, Torgauer Str. 116, 04347, Leipzig, Germany., Schmidt F; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany., Peschel T; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany., Palm J; Institute of Medical Statistics, Computer and Data Sciences (IMSID), Jena University Hospital-Friedrich Schiller University Jena, Jena, Germany., Strübing A; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany., Medek A; Medical & Scientific Technology Development & Coordination (MWTek), University Hospital Bonn, Bonn, Germany., Przybilla J; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany.; Clinical Trial Centre Leipzig (ZKS), Leipzig University, Leipzig, Germany., Wermund AM; Department of Clinical Pharmacy, Institute of Pharmacy, University of Bonn, Bonn, Germany., Maas R; Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany., Härterich S; Hospital Pharmacy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Redeker L; Department of Clinical Pharmacology, School of Medicine, Faculty of Health, Witten/Herdecke University, Witten, Germany., Federbusch M; Institute for Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Medical Center Leipzig, Leipzig, Germany., Steinbach D; Institute for Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Medical Center Leipzig, Leipzig, Germany., Gewehr J; Business Division for Information Technology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Wurlitzer M; Business Division for Information Technology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Riedel A; Erlangen University Hospital, Medical Center for Information and Communication Technology, Erlangen, Germany.; Friedrich-Alexander-Universität Erlangen-Nürnberg, Medical Informatics, Erlangen, Germany., Meineke F; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany., Neumann D; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany., Scherag A; Institute of Medical Statistics, Computer and Data Sciences (IMSID), Jena University Hospital-Friedrich Schiller University Jena, Jena, Germany., Loeffler M; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany.
Corporate Authors: POLAR_MI
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2026 Jun 15; Vol. 26 (1). Date of Electronic Publication: 2026 Jun 15.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1472-6947
DOI:10.1186/s12911-026-03550-w