Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/4021
Title: | Speeding up decision support: Investigating the distributed simulation of a healthcare supply chain |
Authors: | Mustafee, N Taylor, SJE Katsaliaki, K Brailsford, S |
Keywords: | Discrete-event simulation;Distributed simulation |
Issue Date: | 2009 |
Publisher: | IGI Global |
Citation: | Handbook of research on advances in health informatics and electronic healthcare applications: Global adoption and impact of information communication technologies. New York, IGI Global, 2009 |
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 have 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 we 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 (NBS) we demonstrate the effectiveness of this technique and argue that it is a vital technology in healthcare informatics with respect to supporting decision making in large healthcare systems. |
URI: | http://bura.brunel.ac.uk/handle/2438/4021 |
DOI: | http://dx.doi.org/10.4018/978-1-60566-030-1.ch016 |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Fulltext.pdf | 1.58 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.