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Jakob, C.E.M.* ; Stecher, M.* ; Fuhrmann, S.* ; Wingen-Heimann, S.* ; Heinen, S.* ; Anton, G. ; Behnke, M.* ; Behrends, U.* ; Boeker, M.* ; Castell, S.* ; Demski, H. ; Diefenbach, M.* ; Falgenhauer, J.C.* ; Fritzenwanker, M.* ; Gastmeier, P.* ; Gerhard, M.* ; Glöckner, S.* ; Golubovic, M.* ; Gunsenheimer Bartmeyer, B.* ; Ingenerf, J.* ; Kaiser, R.* ; Körner, M.L.* ; Loag, W.* ; McHardy, A.C.* ; Molitor, E.* ; Nübel, U.* ; Pritsch, M.* ; Ramharter, M.* ; Rieg, S.R.* ; Rupp, J.* ; Schindler, D.* ; Schwudke, D.* ; Spinner, C.* ; Stottmeier, B.* ; Vehreschild, M.* ; Willmann, M.* ; Vehreschild, J.J.*

Needs for an integration of specific data sources and items - first insights of a national survey within the German center for infection research.

Stud. Health Technol. Inform. 278, 237-244 (2021)
Verlagsversion DOI
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Data Integration ; Infectious Diseases ; Minimum Data Requirement ; Survey
ISSN (print) / ISBN 0926-9630
Quellenangaben Band: 278, Heft: , Seiten: 237-244 Artikelnummer: , Supplement: ,
Verlag IOS Press
Begutachtungsstatus Peer reviewed