Demmer, Iris

[["dc.bibliographiccitation.firstpage","394"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Translational Medicine"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Bahls, Thomas"],["dc.contributor.author","Pung, Johannes"],["dc.contributor.author","Heinemann, Stephanie"],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Demmer, Iris"],["dc.contributor.author","Blumentritt, Arne"],["dc.contributor.author","Rau, Henriette"],["dc.contributor.author","Drepper, Johannes"],["dc.contributor.author","Wieder, Philipp"],["dc.contributor.author","Groh, Roland"],["dc.contributor.author","Hummers, Eva"],["dc.contributor.author","Schlegelmilch, Falk"],["dc.date.accessioned","2020-10-29T15:25:39Z"],["dc.date.available","2020-10-29T15:25:39Z"],["dc.date.issued","2020"],["dc.description.abstract","Medical data from family doctors are of great importance to health care researchers but seem to be locked in German practices and, thus, are underused in research. The RADAR project (Routine Anonymized Data for Advanced Health Services Research) aims at designing, implementing and piloting a generic research architecture, technical software solutions as well as procedures and workflows to unlock data from family doctor's practices. A long-term medical data repository for research taking legal requirements into account is established. Thereby, RADAR helps closing the gap between the European countries and to contribute data from primary care in Germany."],["dc.identifier.doi","10.1186/s12967-020-02547-x"],["dc.identifier.pmid","33076938"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17623"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/68099"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation","RADARplus - Anonymisierte Routinedaten aus der ambulanten Versorgung für die Versorgungsforschung"],["dc.relation.issn","1479-5876"],["dc.relation.orgunit","Institut für Medizinische Informatik"],["dc.relation.orgunit","Institut für Allgemeinmedizin"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Designing and piloting a generic research architecture and workflows to unlock German primary care data for secondary use"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","22"],["dc.bibliographiccitation.journal","Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen"],["dc.bibliographiccitation.lastpage","31"],["dc.bibliographiccitation.volume","149"],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Demmer, Iris"],["dc.contributor.author","Heinemann, Stephanie"],["dc.contributor.author","Himmel, Wolfgang"],["dc.contributor.author","Hummers, Eva"],["dc.contributor.author","Pung, Johannes"],["dc.contributor.author","Schlegelmilch, Falk"],["dc.contributor.author","Drepper, Johannes"],["dc.date.accessioned","2020-10-29T15:25:48Z"],["dc.date.available","2020-10-29T15:25:48Z"],["dc.date.issued","2019-12"],["dc.description.abstract","The use of primary care data gathered from electronic health records in local practices could be an important building block for the future of health services research. However, the risks and reservations associated with using this data for research purposes should not be underestimated. We show the data protection and privacy problems that may arise through secondary analysis of routine primary care data and describe the technical solutions that are available to address these concerns - as a trust-building measure."],["dc.identifier.doi","10.1016/j.zefq.2020.01.002"],["dc.identifier.pmid","32165110"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/68101"],["dc.language.iso","other"],["dc.relation","RADARplus - Anonymisierte Routinedaten aus der ambulanten Versorgung für die Versorgungsforschung"],["dc.relation.eissn","2212-0289"],["dc.relation.issn","1865-9217"],["dc.relation.orgunit","Institut für Medizinische Informatik"],["dc.relation.orgunit","Institut für Allgemeinmedizin"],["dc.rights","CC BY-NC-ND 4.0"],["dc.title","Das Risiko von Re-Identifizierung bei der Auswertung medizinischer Routinedaten – Kritische Bewertung und Lösungsansätze"],["dc.title.alternative","The risk of re-identification when analyzing electronic health records: a critical appraisal and possible solutions"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]