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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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Author of HS ReutlingenDegele, Jutta; Hain, Julia; Kinitzki, Valeria; Krauß, Sascha; Kühfuß, Peter; Sigle, Natascha
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 RossmannORCiD
Document Type:Conference proceeding
Publication year:2017
Tag:ArchiMate 3.0; big data and analytics; data architecture; data model; digital health insurance; requirements engineering
Page Number:10
First Page:107
Last Page:116
DDC classes:004 Informatik
Open access?:Ja
Licence (German):License Logo  Open Access