Data Architecture for Digital Health Insurances
Autor(en):
Zusammenfassung
The increasing number of connected mobile devices such as fitness trackers and smartphones define new data sources for health insurances, enabling them to gain deeper insights into the health of their customers. These additional data sources plus the trend towards an interconnected health community, including doctors, hospitals and insurers, lead to challenges regarding data filtering, organization and dissemination. First, we analyze what kind of information is relevant for a digital health insurance. Second, functional and non-functional requirements for storing and managing health data in an interconnected environment are defined. Third, we propose a data architecture for a digitized health insurance, consisting of a data model and an application architecture.
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- BibTeX
Degele, J., Hain, J., Kinitzki, V., Krauß, S., Kühfuß, P. & Sigle, N.,
(2017.0).
Data Architecture for Digital Health Insurances.
In:
Rossmann, A. & Zimmermann, A.
(Hrsg.),
Digital Enterprise Computing (DEC 2017).
Gesellschaft für Informatik, Bonn.
(S. 107-116).
@inproceedings{mci/Degele2017.0,
author = {Degele, Jutta AND Hain, Julia AND Kinitzki, Valeria AND Krauß, Sascha AND Kühfuß, Peter AND Sigle, Natascha},
title = {Data Architecture for Digital Health Insurances},
booktitle = {Digital Enterprise Computing (DEC 2017)},
year = {2017.0},
editor = {Rossmann, Alexander AND Zimmermann, Alfred} ,
pages = { 107-116 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Degele, Jutta AND Hain, Julia AND Kinitzki, Valeria AND Krauß, Sascha AND Kühfuß, Peter AND Sigle, Natascha},
title = {Data Architecture for Digital Health Insurances},
booktitle = {Digital Enterprise Computing (DEC 2017)},
year = {2017.0},
editor = {Rossmann, Alexander AND Zimmermann, Alfred} ,
pages = { 107-116 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
| Dateien | Groesse | Format | Anzeige | |
|---|---|---|---|---|
| paper09.pdf | 568.1Kb | Öffnen |
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Mehr Information
ISBN: 978-3-88579-666-4
ISSN: 1617-5468
Datum: 2017.0
Sprache:
(en)
(en)
