Logo des Repositoriums
 

Using a data warehouse approach for mobile patients

Kurzanzeige
dc.contributor.authorIonas, Andreea
dc.contributor.authorMeier, Andreas
dc.contributor.authorPop, Ciprian
dc.contributor.authorSavini, Marco
dc.contributor.authorStormer, Henrik
dc.contributor.editorStormer, Henrik
dc.contributor.editorMeier, Andreas
dc.contributor.editorSchumacher, Michael
dc.date.accessioned2019-07-11T11:28:56Z
dc.date.available2019-07-11T11:28:56Z
dc.date.issued2006
dc.description.abstractA large number of people already own a mobile phone. In the eHealth area, the usage of this mobile device is becoming more and more popular. Patients can install small applications on their devices that help or guide them in certain situations. Additionally, the mobile devices can be used to transmit all kind of physiological parameters electronically. These parameters are stored on a special server. By analyzing the data, patients can be alerted when the parameters are becoming bad. This paper presents the eSana framework that was developed as an integrated framework to connect patients to medical experts and enable the electronic transmission of physiological parameters. An important step is the analysis of these data. The focus of this paper is to show how eSana provides mechanisms for the automatic analysis of data by utilizing a data warehouse. The data warehouse model and possible analyses will be presented.en
dc.identifier.isbn978-3-88579-185-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24002
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofEuropean Conference on eHealth 2006
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-91
dc.titleUsing a data warehouse approach for mobile patientsen
dc.typeText/Conference Paper
gi.citation.endPage297
gi.citation.publisherPlaceBonn
gi.citation.startPage287
gi.conference.dateOctober 12-13, 2006
gi.conference.locationFribourg, Switzerland
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild
Name:
GI-Proceedings-91-25.pdf
Größe:
272.67 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

P091 - European Conference on eHealth 2006