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  4. Supporting the viability of e-health services with pattern-based business model design: The case of an e-mental health app for maternal depression
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Supporting the viability of e-health services with pattern-based business model design: The case of an e-mental health app for maternal depression

Journal
Communications in Computer and Information Science
ISBN
978-3-319-44671-4
Type
conference paper
Date Issued
2016-09-18
Author(s)
Sprenger, Michaela  
Editor(s)
Li, Hongxiu
Nykänen, Pirkko
Suomi, Reima
Wickramasinghe, Nilmini
Widén, Gunilla
Zhan, Ming
DOI
10.1007/978-3-319-44672-1_14
Abstract
Designing viable business models for e-health services is not trivial as people in charge of business model design often lack the respective knowledge and experience. E-health business model design patterns should support inexperienced business model designers as they document existing business model logics of the e-health domain for reuse. This paper aims at understanding how exactly a pattern-based business model design supports the viability of e-health business models by applying the e-health business model design patterns to a specific e-health service – an e-mental health app for maternal depression. A focus group workshop reveals that these design patterns sensitize the participants to the viability aspects of the business model and thereby help to enhance its viability.
Language
English
HSG Classification
contribution to practical use / society
HSG Profile Area
SoM - Business Innovation
Book title
Building Sustainable Health Ecosystems
Publisher
Springer
Publisher place
Cham
Volume
636
Start page
161
End page
175
Event Title
6th International Conference on Well-Being in the Information Society (WIS)
Event Location
Tampere, Finland
Event Date
16.-18.09.2016
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/103895
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

Eprints ID
249504
File(s)
Thumbnail Image

open.access

Name

Sprenger_Supporting the viability of e-health services_as printed.pdf

Size

1.78 MB

Format

Adobe PDF

Checksum (MD5)

bd06e57e3b0b516aa31e01c9c73ca453

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