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viewed this paper for their views and suggestions, many of which we have been pleased to incorporate, since these improved the quality of the article. All errors and omissions, however, are entirely owned by the author. We also thank Mark Outhwaite, Director of Technologies in Health Group of the former NHS Modernisation Agency for commissioning the exercise under which experts were polled and from which these reflective views have been behind the motivation for writing this paper. References Baldwin LP, Eldabi T and Paul RJ (2005). Business process design: flexible modelling with multiple levels of detail. Bus Process Mng J 11 (1): 22–36. Beckett P (2000). Wargames. Aerospace Int 27 (11): 12–15. Brailsford SC, Churilov L and Liew S-K (2003). Treating ailing emergency departments with simulation: an integrated perspective. In: Anderson J (ed). Proceedings of Western Multiconference on Health Sciences Simulation , Florida, Society for Modelling & Simulation International (SCS), San Diego, CA. Brailsford SC and Schmidt B (2003). Towards incorporating human behaviour in models of health care systems: an approach using discrete event simulation. Eur J Opl Res 150 (1): 19–31. Brailsford SC, Lattimer VA, Tarnaras P and Turnbull JC (2004). Emergency and on-demand health care: modelling a large complex system. J Opn Res Soc 55 (1): 34–42. Brown J, Karnon J, Eldabi T and Paul RJ (1999). Using modelling in a phased approach to the economic evaluation of adjuvant therapy for early breast cancer. Crit Rev Oncol/Hematol 32 (2): 95–103(9). Coats TJ and Michalis S (2001). Mathematical modelling of patient flow through an accident and emergency department. Emergency Med J 18 : 190–192. Connelly LG and Bair AE (2004). Discrete event simulation of emergency department activity: a platform for system-level operations research. Acad Emergency Med 11 : 1177–1184. Cooke MW, Wilson S and Pearson S (2002). The effect of a separate stream for minor injuries on accident and emergency department waiting times. Emergency Med J 19 : 28–30. Dangerfield BC and Roberts CA (1996). Relating a transmission model of AIDS spread to data: some international comparisons. In: Isham V and Medley G (eds). Models for Infectious Human Diseases: Their Structure and Relation to Data . Cambridge University Press, Cambridge, UK, pp 473–476. Dangerfield BC and Roberts CA (1999). Optimisation as a statistical estimation tool: an example in estimating the AIDS treatment- free incubation period distribution. System Dynamics Rev 15 (3): 273–291. Delesie L (1998). Bridging the gap between clinicians and health managers. Eur J Opl Res 105 (2): 248–256. Dodds S (2005). Designing improved healthcare processes using discrete event simulation. The British J Healthcare Comput Inform 22 (5): 14–16. DoH (2006). Press release: Hewitt announces action toturnaround NHS finances. Available at Statistics/PressReleases/PressReleasesNotices/fs/en?CONTENT ID = 4127292&chk = HDOR9C (accessed 23 February 2006).
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  • Spring '12
  • NguyenXuanLong,JohnLafferty
  • The Land, Computer simulation

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