INTERPOLAR - A framework for federated integrated studies on IT-supported healthcare
Presentation Time: 10:45 AM - 10:57 AM
Abstract Keywords: Healthcare Quality, Information Extraction, Real-World Evidence Generation, Patient Safety, Interoperability and Health Information Exchange
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics
INTERPOLAR is a framework for embedded studies in routine care, enabling multi-center evaluation of pharmacist-proposed interventions using IT-supported triggers for patients at risk and medication-related problems. It integrates EMR data with structured study documentation and algorithm plausibility assessment. The project is currently deployed at 14 German university hospitals with over 60,000 patients to be enrolled. INTERPOLAR supports real-time and retrospective intervention analysis and lays the groundwork for large-scale evidence generation in routine care settings.
Speaker(s):
Daniel Neumann, Medical Informatics and Data Science
University Leipzig, Medical Faculty
Author(s):
Daniel Neumann, Medical Informatics and Data Science - University Leipzig, Medical Faculty; Sebastian Stäubert, - - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany; Tatjana Beppler, - - Institute of Medical Statistics, Computer and Data Sciences, Jena University, Germany; Miriam Kesselmeier, Dr. - Institute of Medical Statistics, Computer and Data Sciences, Jena University, Germany; Florian Schmidt, - - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany; Alexander Strübing, - - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany; Marcel von Borzestowski, - - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany; Matthias Reusche, - - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany; Frank Meineke, Dr. - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany; Martin F. Fromm, Dr. - Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (FAU); Ulrich Jaehde, Dr. - Department of Clinical Pharmacy, Institute of Pharmacy, University of Bonn, Germany; Petra Thürmann, Dr. - Department of Clinical Pharmacology, School of Medicine, Faculty of Health, Witten/Herdecke University; Hanna M. Seidling, Dr. - Heidelberg University / Medical Faculty, Heidelberg University Hospital, Internal Medicine IX – Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg; Tobias Dreischulte, Dr. - Institute of General Practice and Family Medicine, University Hospital of Ludwig-Maximilians-University Munich, Germany; Frank Doerje, Dr. - Pharmacy Department, Erlangen University Hospital, Erlangen, Germany; Renke Maas, Dr. - Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (FAU); André Scherag, Dr. - Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Jena, Germany; Markus Loeffler, Dr. - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany;
Presentation Time: 10:45 AM - 10:57 AM
Abstract Keywords: Healthcare Quality, Information Extraction, Real-World Evidence Generation, Patient Safety, Interoperability and Health Information Exchange
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics
INTERPOLAR is a framework for embedded studies in routine care, enabling multi-center evaluation of pharmacist-proposed interventions using IT-supported triggers for patients at risk and medication-related problems. It integrates EMR data with structured study documentation and algorithm plausibility assessment. The project is currently deployed at 14 German university hospitals with over 60,000 patients to be enrolled. INTERPOLAR supports real-time and retrospective intervention analysis and lays the groundwork for large-scale evidence generation in routine care settings.
Speaker(s):
Daniel Neumann, Medical Informatics and Data Science
University Leipzig, Medical Faculty
Author(s):
Daniel Neumann, Medical Informatics and Data Science - University Leipzig, Medical Faculty; Sebastian Stäubert, - - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany; Tatjana Beppler, - - Institute of Medical Statistics, Computer and Data Sciences, Jena University, Germany; Miriam Kesselmeier, Dr. - Institute of Medical Statistics, Computer and Data Sciences, Jena University, Germany; Florian Schmidt, - - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany; Alexander Strübing, - - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany; Marcel von Borzestowski, - - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany; Matthias Reusche, - - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany; Frank Meineke, Dr. - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany; Martin F. Fromm, Dr. - Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (FAU); Ulrich Jaehde, Dr. - Department of Clinical Pharmacy, Institute of Pharmacy, University of Bonn, Germany; Petra Thürmann, Dr. - Department of Clinical Pharmacology, School of Medicine, Faculty of Health, Witten/Herdecke University; Hanna M. Seidling, Dr. - Heidelberg University / Medical Faculty, Heidelberg University Hospital, Internal Medicine IX – Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg; Tobias Dreischulte, Dr. - Institute of General Practice and Family Medicine, University Hospital of Ludwig-Maximilians-University Munich, Germany; Frank Doerje, Dr. - Pharmacy Department, Erlangen University Hospital, Erlangen, Germany; Renke Maas, Dr. - Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (FAU); André Scherag, Dr. - Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Jena, Germany; Markus Loeffler, Dr. - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany;
INTERPOLAR - A framework for federated integrated studies on IT-supported healthcare
Category
Podium Abstract