System Dynamics and Agent-Based Simulation for Prospective Health Technology Assessments

Djanatliev A, Kolominsky-Rabas P, Hofmann B, Aisenbrey A, German R (2014)


Publication Language: English

Publication Type: Book chapter / Article in edited volumes

Publication year: 2014

Publisher: Springer

Edited Volumes: Simulation and Modeling Methodologies, Technologies and Applications

Series: Advances in Intelligent Systems and Computing

City/Town: Switzerland

Book Volume: 256

Pages Range: 85-96

Edition: 1

ISBN: 9783319035802

URI: https://link.springer.com/chapter/10.1007/978-3-319-03581-9_6

DOI: 10.1007/978-3-319-03581-9_6

Abstract

Healthcare innovations open new treatment possibilities for patients and offer potentials to increase their life quality. But it is also possible that a new product will have negative influences on patient’s life quality, if it has not been checked before. To prevent latter cases three already established methods can be used in order to assess healthcare technologies and to inform regulatory agencies. But these tools share a common problem. They can only be applied when a product is already developed and high costs have been already produced. This work describes Prospective Health Technology Assessment. This approach uses hybrid simulation techniques in order to learn about the impacts of a new innovation before a product has been developed. System Dynamics is used to perform high-level simulation and Agent-Based Simulation allows to model individual behavior of persons.

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How to cite

APA:

Djanatliev, A., Kolominsky-Rabas, P., Hofmann, B., Aisenbrey, A., & German, R. (2014). System Dynamics and Agent-Based Simulation for Prospective Health Technology Assessments. In Mohammad S. Obaidat, Joaquim Filipe, Janusz Kacprzyk, Nuno Pina (Eds.), Simulation and Modeling Methodologies, Technologies and Applications. (pp. 85-96). Switzerland: Springer.

MLA:

Djanatliev, Anatoli, et al. "System Dynamics and Agent-Based Simulation for Prospective Health Technology Assessments." Simulation and Modeling Methodologies, Technologies and Applications. Ed. Mohammad S. Obaidat, Joaquim Filipe, Janusz Kacprzyk, Nuno Pina, Switzerland: Springer, 2014. 85-96.

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