Harvesting “low-hanging fruit” early on in long-term multicenter data integration projects is a
challenging requirement. This paper describes how standardized datasets and open source platforms were successfully leveraged to rapidly implement and deploy a demonstrator study for the investigation of the prevalence of comorbidities and rare diseases with clinical routine data within the German Medical Informatics Initiative.
Learning Objective: Leverage established standards and open source platforms to rapidly implement and deploy large-scale collaborative proof-of-concept studies for the secondary use of routine clinical data.
Thomas Ganslandt (Presenter)
Mannheim University Medicine
Jannik Schaaf, University Hospital Frankfurt
Josef Schepers, Charité - Universitätsmedizin Berlin
Holger Storf, University Hospital Frankfurt
Felix Balzer, Charité - Universitätsmedizin Berlin
Silke Haferkamp, University Hospital Aachen
Robert Lodahl, University Medical Center Göttingen
Fabian Prasser, Technical University of Munich
Ulrich Sax, University Medical Center Göttingen
Holger Stenzhorn, University Hospital Tübingen
Hans-Ulrich Prokosch, Friedrich-Alexander-University Erlangen-Nuremberg
Martin Boeker, Medical Faculty and Medical Center - University of Freiburg