Welcome to the InfoSci Platform
Speeding Up Decision Support: Investigating the Distributed Simulation of a Healthcare Supply Chain

Speeding Up Decision Support: Investigating the Distributed Simulation of a Healthcare Supply Chain

Navonil Mustafee, Simon J.E. Taylor, Korina Katsaliaki, Sally Brailsford
Copyright: © 2010 |Pages: 19
ISBN13: 9781605660301|ISBN10: 1605660302|EISBN13: 9781605660318
DOI: 10.4018/978-1-60566-030-1.ch016
Cite Chapter Cite Chapter

MLA

Mustafee, Navonil, et al. "Speeding Up Decision Support: Investigating the Distributed Simulation of a Healthcare Supply Chain." Handbook of Research on Advances in Health Informatics and Electronic Healthcare Applications: Global Adoption and Impact of Information Communication Technologies, edited by Khalil Khoumbati, et al., IGI Global, 2010, pp. 255-273. https://doi.org/10.4018/978-1-60566-030-1.ch016

APA

Mustafee, N., Taylor, S. J., Katsaliaki, K., & Brailsford, S. (2010). Speeding Up Decision Support: Investigating the Distributed Simulation of a Healthcare Supply Chain. In K. Khoumbati, Y. Dwivedi, A. Srivastava, & B. Lal (Eds.), Handbook of Research on Advances in Health Informatics and Electronic Healthcare Applications: Global Adoption and Impact of Information Communication Technologies (pp. 255-273). IGI Global. https://doi.org/10.4018/978-1-60566-030-1.ch016

Chicago

Mustafee, Navonil, et al. "Speeding Up Decision Support: Investigating the Distributed Simulation of a Healthcare Supply Chain." In Handbook of Research on Advances in Health Informatics and Electronic Healthcare Applications: Global Adoption and Impact of Information Communication Technologies, edited by Khalil Khoumbati, et al., 255-273. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-030-1.ch016

Export Reference

Mendeley
Favorite

Abstract

Discrete-Event Simulation (DES) is a decision support technique that allows stakeholders to conduct experiments with models that represent real-world systems of interest. Its use in healthcare is comparatively new. Healthcare needs have grown and healthcare organisations become larger, more complex and more costly. There has never been a greater need for carefully informed decisions and policy. DES is valuable as it can provide evidence of how to cope with these complex health problems. However, the size of a healthcare system can lead to large models that can take an extremely long time to simulate. In this chapter the authors investigate how a technique called distributed simulation allows us to use multiple computers to speed up this simulation. Based on a case study of the UK National Blood Service they demonstrate the effectiveness of this technique and argue that it is a vital technique in healthcare informatics with respect to supporting decision making in large healthcare systems.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.