Modelling and simulating complicated service networks in healthcare

Peter Ylen; Ossi Koivula; Joona Tuovinen; Jukka Ranta

doi:10.1007/978-4-431-54816-4_16

Modelling and simulating complicated service networks in healthcare

Peter Ylen, Ossi Koivula, Joona Tuovinen, Jukka Ranta

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Professional

Abstract

Healthcare system is a complicated network consisting of fragmented interest groups working towards their own internal goals causing suboptimal system performance and change resistance. In this paper a system dynamic simulation model is constructed for the value creation in a healthcare network containing different modules for doctors, rehabilitation personnel, patients and their relatives. The models are based on service-dominant-logic. The dynamic hypothesis is created in collaboration with experts and different interest-groups by using facilitated interviews and workshops. Strategies for transition towards customer oriented healthcare services are tested in simulations. The effect of political pressure and different value creation structures are analysed

Original language	English
Title of host publication	Serviceology for Service
Subtitle of host publication	Selected papers of the 1st International Conference of Serviceology
Editors	Masaaki Mochimaru, Kanji Ueda, Takeshi Takenaka
Place of Publication	Tokio
Publisher	Springer
Pages	143-150
ISBN (Electronic)	978-4-431-54816-4
ISBN (Print)	978-4-431-54815-7
DOIs	https://doi.org/10.1007/978-4-431-54816-4_16
Publication status	Published - 2014
MoE publication type	D2 Article in professional manuals or guides or professional information systems or text book material
Event	1st International Conference on Serviceology, ICServ 2013 - Tokyo, Japan Duration: 16 Oct 2013 → 18 Oct 2013

Conference

Conference	1st International Conference on Serviceology, ICServ 2013
Country	Japan
City	Tokyo
Period	16/10/13 → 18/10/13

Access to Document

10.1007/978-4-431-54816-4_16

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Ylen, P., Koivula, O., Tuovinen, J., & Ranta, J. (2014). Modelling and simulating complicated service networks in healthcare. In M. Mochimaru, K. Ueda, & T. Takenaka (Eds.), Serviceology for Service: Selected papers of the 1st International Conference of Serviceology (pp. 143-150). Springer. https://doi.org/10.1007/978-4-431-54816-4_16

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title = "Modelling and simulating complicated service networks in healthcare",

abstract = "Healthcare system is a complicated network consisting of fragmented interest groups working towards their own internal goals causing suboptimal system performance and change resistance. In this paper a system dynamic simulation model is constructed for the value creation in a healthcare network containing different modules for doctors, rehabilitation personnel, patients and their relatives. The models are based on service-dominant-logic. The dynamic hypothesis is created in collaboration with experts and different interest-groups by using facilitated interviews and workshops. Strategies for transition towards customer oriented healthcare services are tested in simulations. The effect of political pressure and different value creation structures are analysed",

author = "Peter Ylen and Ossi Koivula and Joona Tuovinen and Jukka Ranta",

note = "Project code: 76404 {"}The advanced work presented in this book was selected from the proceedings of the First International Conference on Serviceology (ICServ2013){"}; 1st International Conference on Serviceology, ICServ 2013 ; Conference date: 16-10-2013 Through 18-10-2013",

year = "2014",

doi = "10.1007/978-4-431-54816-4_16",

language = "English",

isbn = "978-4-431-54815-7",

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editor = "Masaaki Mochimaru and Kanji Ueda and Takeshi Takenaka",

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Ylen, P, Koivula, O, Tuovinen, J & Ranta, J 2014, Modelling and simulating complicated service networks in healthcare. in M Mochimaru, K Ueda & T Takenaka (eds), Serviceology for Service: Selected papers of the 1st International Conference of Serviceology. Springer, Tokio, pp. 143-150, 1st International Conference on Serviceology, ICServ 2013, Tokyo, Japan, 16/10/13. https://doi.org/10.1007/978-4-431-54816-4_16

Modelling and simulating complicated service networks in healthcare. / Ylen, Peter; Koivula, Ossi; Tuovinen, Joona; Ranta, Jukka.

Serviceology for Service: Selected papers of the 1st International Conference of Serviceology. ed. / Masaaki Mochimaru; Kanji Ueda; Takeshi Takenaka. Tokio : Springer, 2014. p. 143-150.

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Professional

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T1 - Modelling and simulating complicated service networks in healthcare

AU - Ylen, Peter

AU - Koivula, Ossi

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PY - 2014

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N2 - Healthcare system is a complicated network consisting of fragmented interest groups working towards their own internal goals causing suboptimal system performance and change resistance. In this paper a system dynamic simulation model is constructed for the value creation in a healthcare network containing different modules for doctors, rehabilitation personnel, patients and their relatives. The models are based on service-dominant-logic. The dynamic hypothesis is created in collaboration with experts and different interest-groups by using facilitated interviews and workshops. Strategies for transition towards customer oriented healthcare services are tested in simulations. The effect of political pressure and different value creation structures are analysed

AB - Healthcare system is a complicated network consisting of fragmented interest groups working towards their own internal goals causing suboptimal system performance and change resistance. In this paper a system dynamic simulation model is constructed for the value creation in a healthcare network containing different modules for doctors, rehabilitation personnel, patients and their relatives. The models are based on service-dominant-logic. The dynamic hypothesis is created in collaboration with experts and different interest-groups by using facilitated interviews and workshops. Strategies for transition towards customer oriented healthcare services are tested in simulations. The effect of political pressure and different value creation structures are analysed

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