Abstract
The pregnant women enter and leave hospitals 24 hours a day throughout the year. So, the designers of models have to consider the day, the time and the method of arrival, the degrees of emergency, the alternative placement, and the staff availability. The discrete event simulation has been widely used in attempts to improve the delivery of healthcare. In this paper, the method used to develop a simulation tool for a maternity block is described. This paper surveys the application of discrete-event simulation modeling to healthcare systems and presents the decision-making aid tool designed for a maternity block in order to improve their management. Future directions of research and applications are also discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Brailsford, S.C.: Tutorial: advances and challenges in healthcare simulation modeling. In: The Winter Simulation Conference, pp. 1436–1448 (2007)
Royston See, G.: Trials versus modeling in appraising screening programmes. Br. Med. J. 318, 360–361 (1999)
Jun, J.B., Jacobson, S.H., Swisher, J.R.: Applications of discrete event simulation in healthcare clinics: a survey. J. Op. Res. Soc. (JORS) 50, 109–123 (1999)
Wilson, J.C.T.: Implementation of computer-simulation projects in healthcare. J. Op. Res. Soc. (JORS) 32, 825–832 (1981)
Fone, D., Hollinghurst, S., Temple, M., Round, A., Lester, N., Weightman, A., Roberts, K., Coyle, E., Bevan, G., Palmer, S.: Systematic review of the use and value of computer simulation modeling in population health and health care delivery. J. Pub. H. Med. 25, 325–335 (2003)
Stafford Jr., E.F., Aggarwal, S.C.: Managerial analysis and decision-making in outpatient health clinics. J. Op. Res. Soc. (JORS) 30, 905–915 (1979)
Reilly, T.A., Marathe, V.P., Fries, B.E.: A delay-scheduling model for patients using a walk-in clinic. J. Med. Syst. 2, 303–313 (1978)
Kim, S.-C., Horowitz, I., Young, K.K., Buckley, T.A.: Analysis of capacity management of the intensive care unit in a hospital. Eur. J. Op. Res. (EJOR) 115, 36–46 (1999)
Dexter, F., Macario, A., Traub, R.D., Hopwood, M., Lubarsky, D.A.: An operating room scheduling strategy to maximize the use of operating room block time: computer simulation of patient scheduling and survey of patients’ preferences for surgical waiting time. Anesthesia and analgesia 89, 7–20 (1999)
Fitzpatrick, K.E., Baker, J.R., Dave, D.S.: An application of computer simulation to improve scheduling of hospital operating room facilities in the United States. Int. J. Comp. App. Teh. 6, 214–224 (1993)
Ballard, S.M., Kuhl, M.E.: The use of simulation to determine maximum capacity in the surgical suite operating room. In: The Winter Simulation Conference, pp. 433–438 (2006)
Sinreich, Marmor: A simple and intuitive simulation tool for analyzing emergency department operations. In: The Winter Simulation Conference, pp. 1994–2002 (2004)
Gourgand, M.: Outils logiciels pour l’évaluation des performances des systémes informatiques. Doctorat d’Etat, University of Blaise Pascal, Clermont-Ferrand, France (1984)
Chabrol, M., Féniès, P., Gourgand, M., Tchernev, N.: Un environnement de modélisation pour la Supply Chain Hospitaliére: application sur le. Nouvel Hôpital d’Estaing. Ingénierie des Systémes d’Information 11, 137–162 (2006)
Chabrol, M., Gourgand, M., Rodier, S.: A modeling methodology and its application to the design of decision-making aid tools for the hospital systems. In: IEEE International Conference on Research Challenges in Information Science (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chabrol, M., Gallot, D., Gourgand, M., Rodier, S. (2008). A Simulation Tool for Analyzing and Improving the Maternity Block Management. In: Le Thi, H.A., Bouvry, P., Pham Dinh, T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. MCO 2008. Communications in Computer and Information Science, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87477-5_7
Download citation
DOI: https://doi.org/10.1007/978-3-540-87477-5_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87476-8
Online ISBN: 978-3-540-87477-5
eBook Packages: Computer ScienceComputer Science (R0)