2010
DOI: 10.1258/jtt.2010.006009
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Deployment of e-health services – a business model engineering strategy

Abstract: We designed a business model for deploying a myofeedback-based teletreatment service. An iterative and combined qualitative and quantitative action design approach was used for developing the business model and the related value network. Insights from surveys, desk research, expert interviews, workshops and quantitative modelling were combined to produce the first business model and then to refine it in three design cycles. The business model engineering strategy provided important insights which led to an imp… Show more

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Cited by 25 publications
(36 citation statements)
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“…Although one entity may purchase the service, the benefit of the service may reach beyond the customer to a separate consumer. For instance from the results, in the business model of the Myotel service that provides continuous feedback on muscle relaxation on patients suffering from work related shoulder and neck problems, the end-user is the patient but the customer who pays for the service is the employer or its health insurance organization (Kijl et al, 2010). In essence, this creates a situation where there is a high dependency on other stakeholders whose business models need to cooperate.…”
Section: User Groupmentioning
confidence: 99%
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“…Although one entity may purchase the service, the benefit of the service may reach beyond the customer to a separate consumer. For instance from the results, in the business model of the Myotel service that provides continuous feedback on muscle relaxation on patients suffering from work related shoulder and neck problems, the end-user is the patient but the customer who pays for the service is the employer or its health insurance organization (Kijl et al, 2010). In essence, this creates a situation where there is a high dependency on other stakeholders whose business models need to cooperate.…”
Section: User Groupmentioning
confidence: 99%
“…From our results, most of the services are offered to the patient in an institution and were mostly synchronous and asynchronous (Chen et al, 2013;Pruthi et al, 2013;Krupinski & Weinstein, 2013;Spil & Kijl, 2012;Fanale and Demaerschalk, 2012;Van Ooteghem et al, 2011;Visser et al, 2010;Wickramasinghe et al, 2010;Visser et al, 2010;Cho et al, 2009;Ganapathy and Ranindra, 2009;Postel et al 2008). Most remote patient monitoring services were offered to patients in their homes (Lin et al, 2011;Huis in't Veld et al 2011;Lin et al, 2010;Sarela et al 2009;Tamošiūnienė and Naumčik, 2008;Kijl et al 2010;Malliopoulos et al 2008;Tseng and Cheng, 2007).…”
Section: Facilitymentioning
confidence: 99%
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