Predicting fall risks in electronic patient records
Zusammenfassung
The 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.
- Vollständige Referenz
- BibTeX
Schenk, A., Ahrndt, S. & Albayrak, S.,
(2012).
Predicting fall risks in electronic patient records.
In:
Goltz, U., Magnor, M., Appelrath, H.-J., Matthies, H. K., Balke, W.-T. & Wolf, L.
(Hrsg.),
INFORMATIK 2012.
Bonn:
Gesellschaft für Informatik e.V..
(S. 1194-1198).
@inproceedings{mci/Schenk2012,
author = {Schenk, Ariane AND Ahrndt, Sebastian AND Albayrak, Sahin},
title = {Predicting fall risks in electronic patient records},
booktitle = {INFORMATIK 2012},
year = {2012},
editor = {Goltz, Ursula AND Magnor, Marcus AND Appelrath, Hans-Jürgen AND Matthies, Herbert K. AND Balke, Wolf-Tilo AND Wolf, Lars} ,
pages = { 1194-1198 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Schenk, Ariane AND Ahrndt, Sebastian AND Albayrak, Sahin},
title = {Predicting fall risks in electronic patient records},
booktitle = {INFORMATIK 2012},
year = {2012},
editor = {Goltz, Ursula AND Magnor, Marcus AND Appelrath, Hans-Jürgen AND Matthies, Herbert K. AND Balke, Wolf-Tilo AND Wolf, Lars} ,
pages = { 1194-1198 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information
ISBN: 978-3-88579-602-2
ISSN: 1617-5468
Datum: 2012
Sprache:
(en)
(en)
Typ: Text/Conference Paper
Sammlungen
- P208 - INFORMATIK 2012 [169]

