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.
| Author of HS Reutlingen | 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 RossmannORCiD |
| Document Type: | Conference proceeding |
| Language: | English |
| 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): |  Open Access |
