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Data architecture for digital health insurances

  • The increasing number of connected mobile devices such as fitness trackers and smartphones define new data 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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Metadaten
Name:Degele, Jutta; Hain, Julia; Kinitzki, Valeria; Krauß, Sascha; Kühfuß, Peter; Sigle, Natascha
URN:urn:nbn:de:bsz:rt2-opus4-14232
Handle:https://dl.gi.de/handle/20.500.12116/124
ISBN:978-3-88579-666-4
Erschienen in:Digital Enterprise Computing (DEC 2017) : July 11 - 12, 2017, Böblingen, Germany. - (Lecture notes in informatics (LNI) - proceedings ; volume P-272)
Publisher:Gesellschaft für Informatik
Place of publication:Bonn
Editor:Alexander Rossmann
Document Type:Conference Proceeding
Language:English
Year of Publication:2017
Tag:ArchiMate 3.0; big data and analytics; data architecture; data model; digital health insurance; requirements engineering
Pagenumber:10
First Page:107
Last Page:116
Dewey Decimal Classification:004 Informatik
Access Rights:Ja
Licence (German):License Logo  Open Access