Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/25837
Title: Modelling and simulation techniques for supporting healthcare decision making : a selection framework
Authors: Clarkson, John
Slote Morris, Zoe
Jun, Gyuchan Thomas
Eldabi, Tillal
Jahangirian, Mohsen
Naseer, Aisha
Stergioulas, Lampros
Taylor, Peter
Xue, Maggy
Young, Terry
Berger, Sue
Bolt, Tim
Brailsford, Sally
Connell, Con
Klein, Jonathan
Patel, Brijesh
Barton, Maria
Garg, Lalit
McClean, Sally
Harper, Paul
Keywords: Phase contrast magnetic resonance imaging
Cerebrovascular disease -- Patients
Mobile computing
Computer software -- Evaluation
Medical care
Medical technology
Issue Date: 2009
Publisher: University of Cambridge. Engineering Design Centre
Citation: Jun, G. C., & Clarkson, P. J. (2009). Modelling and simulation techniques for supporting healthcare decision making: a selection framework. Cambridge: University of Cambridge.
Abstract: The development of this workbook has been led by a team of researchers from five UK universities with a grant from the UK Engineering and Physical Sciences Research Council (EPSRC). They are investigating the use of modelling and simulation in healthcare as part of the RIGHT (Research Into Global Healthcare Tools) project. The workbook was developed following an extensive review of literature on the application of modelling and simulation in healthcare and other safety- critical industries, supplemented by the team’s extensive expertise of modelling and simulation in healthcare. In order to produce this summary guide, thousands of articles were categorised according to the techniques used, when they were used, and with what resources.
URI: https://www.um.edu.mt/library/oar//handle/123456789/25837
ISBN: 9780954524333
Appears in Collections:Scholarly Works - FacICTCIS

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