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2021Konferenzveröffentlichung
Needs for an Integration of Specific Data Sources and Items – First Insights of a National Survey Within the German Center for Infection Research
dc.contributor.authorJakob, Carolin E.M.
dc.contributor.authorStecher, Melanie
dc.contributor.authorFuhrmann, Sandra
dc.contributor.authorWingen-Heimann, Sebastian
dc.contributor.authorHeinen, Stephanie
dc.contributor.authorAnton, Gabriele
dc.contributor.authorBehnke, Michael
dc.contributor.authorBehrends, Uta
dc.contributor.authorBoeker, Martin
dc.contributor.authorCastell, Stefanie
dc.contributor.authorDemski, Hans
dc.contributor.authorDiefenbach, Maximilian
dc.contributor.authorFalgenhauer, Jane C.
dc.contributor.authorFritzenwanker, Moritz
dc.contributor.authorGastmeier, Petra
dc.contributor.authorGerhard, Markus
dc.contributor.authorGlöckner, Stephan
dc.contributor.authorGolubovic, Mira
dc.contributor.authorGunsenheimer-Bartmeyer, Barbara
dc.contributor.authorIngenerf, Josef
dc.contributor.authorKaiser, Rolf
dc.contributor.authorKörner, Marie-Luise
dc.contributor.authorLoag, Wibke
dc.contributor.authorMcHardy, Alice
dc.contributor.authorMolitor, Ernst
dc.contributor.authorNübel, Ulrich
dc.contributor.authorPritsch, Michael
dc.contributor.authorRamharter, Michael
dc.contributor.authorRieg, Sigbert R.
dc.contributor.authorRupp, Jan
dc.contributor.authorSchindler, Daniela
dc.contributor.authorSchwudke, Dominik
dc.contributor.authorSpinner, Christoph
dc.contributor.authorStottmeier, Benjamin
dc.contributor.authorVehreschild, Maria
dc.contributor.authorWillmann, Matthias
dc.contributor.authorVehreschild, Jörg J.
dc.date.accessioned2024-06-14T14:50:22Z
dc.date.available2024-06-14T14:50:22Z
dc.date.issued2021none
dc.identifier.other10.3233/SHTI210075
dc.identifier.urihttp://edoc.rki.de/176904/11731
dc.description.abstractState-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.eng
dc.language.isoundnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY-NC 3.0 DE) Namensnennung - Nicht kommerziell 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/de/
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleNeeds for an Integration of Specific Data Sources and Items – First Insights of a National Survey Within the German Center for Infection Researchnone
dc.typeconferenceObject
dc.identifier.urnurn:nbn:de:0257-176904/11731-9
dc.type.versionpublishedVersionnone
local.edoc.container-titleProceedings of the Joint Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) and the Central European Network – International Biometric Society (CEN-IBS) 2020 in Berlin, Germanynone
local.edoc.container-isbn978-1-64368-177-1none
local.edoc.pages8none
local.edoc.type-nameKonferenzveröffentlichung
local.edoc.container-typeconference
local.edoc.container-type-nameKonferenz
local.edoc.container-urlhttps://ebooks.iospress.nl/volume/german-medical-data-sciences-bringing-data-to-life?_gl=1*g69pqg*_up*MQ..*_ga*NTEwNDY3MTY1LjE3MTgzNzU1MzA.*_ga_6N3Q0141SM*MTcxODM3NTUzMC4xLjAuMTcxODM3NTUzMC4wLjAuMA..none
local.edoc.container-publisher-nameIOS Pressnone
local.edoc.container-publisher-placeBerlinnone
local.edoc.container-volume278none
local.edoc.container-reportyear2021none
local.edoc.container-periodicalpart-titleGerman Medical Data Sciences: Bringing Data to Lifenone
local.edoc.container-firstpage237none
local.edoc.container-lastpage244none

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