Abstract
In this chapter, we describe our plans for a simulation study to investigate the management of anesthesiology consultations in the context of cardiac surgical care. This chapter differs from Chaps. 14–16 in that here, we focus on the planning of a simulation study rather than evaluating the results of such a study. In particular, we describe our plans for extending our simulation model, for designing the simulation experiment, and for evaluating the effect of adopting a pooled-list method for booking anesthesiology consultations. These plans are discussed using our analytical framework of a simulation experiment, as described in Chap. 7. Specifically, we discuss the modeling requirements, study and experimental factors, and patient attributes for such a study. We also discuss the information that will be reported to help the reader understand the objectives and hypotheses of the study (see item 5 of Table 10.1).
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References
V. V. Fedorov. Theory of optimal experiments. Academic Press, 12th edition, New York, 1972.
B. Sobolev, P. Brown, D. Zelt, and L. Kuramoto. Waiting time in relation to wait-list size at registration: Statistical analysis of a waiting-list registry. Clinical and Investigative Medicine, 27(6):298–305, 2004.
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© 2012 Springer Science+Business Media, LLC
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Sobolev, B., Sanchez, V., Kuramoto, L. (2012). Booking Anesthesiology Consultations. In: Health Care Evaluation Using Computer Simulation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-2233-4_17
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DOI: https://doi.org/10.1007/978-1-4614-2233-4_17
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