TY - CHAP U1 - Konferenzveröffentlichung A1 - Degele, Jutta A1 - Hain, Julia A1 - Kinitzki, Valeria A1 - Krauß, Sascha A1 - Kühfuß, Peter A1 - Sigle, Natascha ED - Rossmann, Alexander T1 - Data architecture for digital health insurances T2 - Digital Enterprise Computing (DEC 2017) : July 11 - 12, 2017, Böblingen, Germany. - (Lecture notes in informatics (LNI) - proceedings ; volume P-272) N2 - 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. KW - data architecture KW - data model KW - digital health insurance KW - ArchiMate 3.0 KW - big data and analytics KW - requirements engineering Y1 - 2017 U6 - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-14232 UN - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-14232 SN - 978-3-88579-666-4 SB - 978-3-88579-666-4 SP - 107 EP - 116 S1 - 10 PB - Gesellschaft für Informatik CY - Bonn ER -