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dc.contributor.authorSchenk, Ariane
dc.contributor.authorAhrndt, Sebastian
dc.contributor.authorAlbayrak, Sahin
dc.contributor.editorGoltz, Ursula
dc.contributor.editorMagnor, Marcus
dc.contributor.editorAppelrath, Hans-Jürgen
dc.contributor.editorMatthies, Herbert K.
dc.contributor.editorBalke, Wolf-Tilo
dc.contributor.editorWolf, Lars
dc.date.accessioned2018-11-06T10:57:09Z
dc.date.available2018-11-06T10:57:09Z
dc.date.issued2012
dc.identifier.isbn978-3-88579-602-2
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/17752
dc.description.abstractThe increasing progress in the development and deployment of electronic patient records (EPR), especially those for mobile devices like tablets, offers new opportunities for the health care sector. In the field of prevention, health care professionals can gain benefits from the consolidation of complementary data sources and the ubiquitous access to patient information. Hence, this work presents the results of a literature research done to identify fall indicators and their influence on patients fall risk. This work takes special interest in the specific needs of home visiting nurses and the data available through a mobile EPR.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2012
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-208
dc.titlePredicting fall risks in electronic patient recordsen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages1194-1198
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationBraunschweig
mci.conference.date16.-21. September 2012


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