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Needs for an Integration of Specific Data Sources and Items – First Insights of a National Survey Within the German Center for Infection Research
Authors
Carolin E.M. Jakob, Melanie Stecher, Sandra Fuhrmann, Sebastian Wingen-Heimann, Stephanie Heinen, Gabriele Anton, Michael Behnke, Uta Behrends, Martin Boeker, Stefanie Castell, Hans Demski, Maximilian Diefenbach, Jane C. Falgenhauer, Moritz Fritzenwanker, Petra Gastmeier, Markus Gerhard, Stephan Glöckner, Mira Golubovic, Barbara Gunsenheimer Bartmeyer, Josef Ingenerf, Rolf Kaiser, Marie-Luise Körner, Wibke Loag, Alice Mchardy, Ernst Molitor, Ulrich Nübel, Michael Pritsch, Michael Ramharter, Sigbert R. Rieg, Jan Rupp, Daniela Schindler, Dominik Schwudke, Christoph Spinner, Benjamin Stottmeier, Maria Vehreschild, Matthias Willmann, Jörg J. Vehreschild
Pages
237 - 244
DOI
10.3233/SHTI210075
Category
Research Article
SeriesEbook
Abstract

State-subsidized programs develop medical data integration centers in Germany. To get infection disease (ID) researchers involved in the process of data sharing, common interests and minimum data requirements were prioritized. In 06/2019 we have initiated the German Infectious Disease Data Exchange (iDEx) project. We have developed and performed an online survey to determine prioritization of requests for data integration and exchange in ID research. The survey was designed with three sub-surveys, including a ranking of 15 data categories and 184 specific data items and a query of available 51 data collecting systems. A total of 84 researchers from 17 fields of ID research participated in the survey (predominant research fields: gastrointestinal infections n=11, healthcare-associated and antibiotic-resistant infections n=10, hepatitis n=10). 48% (40/84) of participants had experience as medical doctor. The three top ranked data categories were microbiology and parasitology, experimental data, and medication (53%, 52%, and 47% of maximal points, respectively). The most relevant data items for these categories were bloodstream infections, availability of biomaterial, and medication (88%, 87%, and 94% of maximal points, respectively). The ranking of requests of data integration and exchange is diverse and depends on the chosen measure. However, there is need to promote discipline-related digitalization and data exchange.

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