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Speeding Up Decision Support: Investigating the Distributed Simulation of a Healthcare Supply Chain
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Author(s): Navonil Mustafee (Warwick Business School, UK), Simon J.E. Taylor (Brunel University, UK), Korina Katsaliaki (Middlesex University, UK)and Sally Brailsford (University of Southampton, UK)
Copyright: 2010
Pages: 19
Source title:
Handbook of Research on Advances in Health Informatics and Electronic Healthcare Applications: Global Adoption and Impact of Information Communication Technologies
Source Author(s)/Editor(s): Khalil Khoumbati (University of Sindh, Pakistan), Yogesh K. Dwivedi (Swansea University, UK), Aradhana Srivastava (Participatory Research in Asia (PRIA), India)and Banita Lal (Nottingham Trent University, UK)
DOI: 10.4018/978-1-60566-030-1.ch016
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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.
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