Simulation-based models of emergency departments: Operational, tactical, and strategic staffing

ACM Transactions on Modeling and Computer Simulation

Volumn 21, Issue 4, 2011, Pages

  Zeltyn, Sergey ^a   Marmor, Yariv N ^b   Mandelbaum, Avishai ^b   Carmeli, Boaz ^a   Greenshpan, Ohad ^a   Mesika, Yossi ^a   Wasserkrug, Sergev ^a   Vortman, Pnina ^a   Shtub, Avraham ^b   Lauterman, Tirza ^b   Schwartz, Dagan ^c   Moskovitch, Kobi ^c   Tzafrir, Sara ^c   Basis, Fuad ^c  

^a IBM HAIFA RESEARCH LAB   (Israel)

^b TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^c Rambam Health Care Center   (Israel)

Author keywords

Management; Measurement; Performance

Indexed keywords

EMERGENCY DEPARTMENTS; FULL SPECTRUM; OPERATIONAL PLANNING; PERFORMANCE; SHORT TERM PREDICTION; SIMULATION MODEL; SIMULATION-BASED; STAFF SCHEDULING; TIME HORIZONS;

EMERGENCY ROOMS; MANAGEMENT; MEASUREMENTS; PERSONNEL SELECTION; REAL TIME CONTROL;

COMPUTER SIMULATION;

EID: 80053040473     PISSN: 10493301     EISSN: 15581195     Source Type: Journal    
DOI: 10.1145/2000494.2000497     Document Type: Article

References (41)

1. ASMUSSEN, S. AND GLYNN, P. W. 2007. Stochastic Simulation. Springer, New York.
2. BADRI, M. A. AND HOLLINGSWORTH, J. 1993. A simulation model for scheduling in the emergency room. Int. J. Oper. Production Manag. 13, 13-24.
3. BEAULIEU, H., FERLAND, J. A., GENDRON, B., AND MICHELON, P. 2000. A mathematical programming approach for scheduling physicians in the emergency room. Health Care Manag. Sci. 3, 193-200.
4. BILLER, B. AND NELSON, B. L. 2002. Answers to the top ten input modeling questions. In Proceedings of the Winter Simulation Conference. Yücesan, E., Chen, C.-H., Snowdon, J. L., and Charnes, J. M. Eds, Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, 35-40.
5. BORST, S., MANDELBAUM, A., AND REIMAN, M. 2004. Dimensioning large call centers. Oper. Res. 52, 1, 17-34. (Pubitemid 40000811)
6. BROWN, L., GANS, N., MANDELBAUM, A., SAKOV, A., ZELTYN, S., ZHAO, L., AND HAIPENG, S. 2005. Statistical analysis of a telephone call center: A queueing-science perspective. J. Amer. Stat. Assoc. 100, 36-50. (Pubitemid 40366817)
7. CHANNOUF, N., L'ECUYER, P., INGOLFSSON, A., AND AVRAMIDIS, A. N. 2007. The application of forecasting techniques to modeling emergency medical system calls in Calgary, Alberta. Health Care Manag. Sci. 10, 25-45.
8. DERLET, R. W. AND RICHARDS, J. R. 2000. Overcrowding in the nation's emergency departments: Complex causes and disturbing effects. Annals Emergency Med. 35, 63-68. (Pubitemid 30659729)
9. DRAEGER, M. A. 1992. An emergency department simulation model used to evaluate alternative nurse staffing and patient population scenarios. In Proceedings of the Winter Simulation Conference. Swain, J. J., Goldsman, D., Crain, R. C., and Wilson, J. R. Eds, Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, 1057-1064.
10. FELDMAN, Z., MANDELBAUM, A., MASSEY, W., AND WHITT, W. 2008. Staffing of time-varying queues to achieve time-stable performance. Manag. Sci. 54, 324-338. (Pubitemid 351463147)
11. FUJIMOTO, R., LUNCEFORD, D., PAGE, E., AND UHRMACHER, A. M. 2002. Grand challenges for modeling and simulation. Tech. rep. No. 350, Schloss Dagstuhl.
12. GARCÍA, M. L., CENTENO, M. A., RIVERA, C., AND DECARIO, N. 1995. Reducing time in an emergency room via a fast-track. In Proceedings of the 27th Conference on Winter Simulation, 1048-1053.
13. GARNETT, O., MANDELBAUM, A., AND REIMAN, M. 2002. Designing a call center with impatient customers. Manufactur. Service Oper. Manag. 4, 3, 208-227.
14. GREEN, L. V. 2008. Using operations research to reduce delays for healthcare. In Tutorials in Operations Research, Chen, Zhi-Long and Raghavan, S. Eds, 1-16. INFORMS, Hanover, MD.
15. GREEN, L. V., KOLESAR, P. J., AND SOARES, J. 2001. Improving the SIPP approach for staffing service systems that have cyclic demand. Oper. Res. 49, 549-564. (Pubitemid 33025569)
16. GREEN, L. V., KOLESAR, P. J., AND WHITT, W. 2007. Coping with time-varying demand when setting staffing requirements for a service system. Prod. Oper. Manag. 16, 13-39.
17. HALFIN, S. AND WHITT, W. 1981. Heavy-traffic limits for queues with many exponential servers. Oper. Res. 29, 567-588. (Pubitemid 12437583)
18. HALL, R. W. 2006. Patient Flow: Reducing Delay in Healthcare Delivery. Springer.
19. HUANG, S. Y., CAI, W., TURNER, S. J., HSU, W. J., ZHOU, S., LOW, M. Y.H., FUJIMOTO, R., AND AYANI, R. 2006. A generic symbiotic simulation framework. In Proceedings of the 20th Workshop on Principles of Advanced and Distributed Simulation. Ceballos, S. Ed., IEEE Computer Society, Los Alamitos, CA, 131. (Pubitemid 44815856)
20. JACOBSON, S. H., HALL, S., AND SWISHER, S.R. 2006. Discrete-event simulation of health care systems. In Patient Flow: Reducing Delay in Healthcare Delivery, Hall, R. W. Ed., Springer, 211-252.
21. JANSSEN, A. J.E. M., VAN LEEUWAARDEN, J. S.H., AND ZWART, B. 2008. Refining square root safety by expanding Erlang C. Tech. rep. http://www.win.tue.nl/jleeuwaa/paper20.pdf.
22. JUN, J. B., JACOBSON, S. H., AND SWISHER, J.R. 1999. Application of discrete-event simulation in health care clinics: A survey. J. Oper. Res. Soc. 50, 109-123.
23. KHURMA, N., BACIOIU, G. M., AND PASEK, Z. J. 2008. Simulation-based verification of lean improvement for emergency room process. In Proceedings of the Winter Simulation Conference. Mason, S. J., Hill, R. R., Mönch, L., Rose, O., Jefferson, T., and Fowler, J. W. Eds., Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, 1490-1499.
24. KING, D. L., BEN-TOVIM, D. I., AND BASSHAM, J. 2006. Redesigning emergency department patient flows: application of lean thinking to health care. Emerg. Med. Australasia. 18, 391-397. (Pubitemid 43979283)
25. KOLB, E. M.W., PECK, J., SCHOENING, S., AND LEE, T. 2008. Reducing emergency department overcrowding - five patient buffer concepts in comparison. In Proceedings of the Winter Simulation Conference. Mason, S. J., Hill, R. R., Mönch, L., Rose, O., Jefferson, T., and Fowler, J. W. Eds., Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, 1516-1525.
26. KUHL, M. E., SUMANT, S., AND WILSON, J. R. 2006. An automated multiresolution procedure for modeling complex arrival processes. INFORMS J. Comput. 18, 1, 3-18. (Pubitemid 43515942)
27. KUHL, M. E. AND WILSON, J. R. 2000. Least squares estimation of nonhomogeneous Poisson processes. J. Stat. Computa. Simul. 67, 75-108.
28. KUHL, M. E., WILSON, J. R., AND JOHNSON, M. A. 1997. Estimating and simulating Poisson processes having trends or multiple periodicities. IIE Trans. 29, 3, 201-211. (Pubitemid 127755070)
29. KULJIS, J., PAUL, R. J., AND STERGIOULAS, L. K. 2007. Can health care benefit from modeling and simulation methods in the same way as business and manufacturing has? In Proceedings of the Winter Simulation Conference. Henderson, S. G., Biller, B., Hsieh, M. H., Shortle, J., Tew, J. D., and Barton, R. R. Eds., Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, 1449-1453.
30. LIYANAGE, L. AND GALE, M. 1995. Quality improvement for the Campbelltown hospital emergency service. In Proceedings of IEEE International Conference on Systems, Man, and Cybernetics. Gruver, W. A., Fraser, S., and de Silva, C. W. Eds., Institute of Electrical and Electronic Engineers, 1997-2002.
31. MAMAN, S., MANDELBAUM, A., AND ZELTYN, S. 2011. Uncertainty in the demand for service: The case of call centers and emergency departments. Working Paper.
32. MARMOR, Y., SHTUB, A., MANDELBAUM, A., WASSERKRUG, S., ZELTYN, S., MESIKA, Y., GREENSHPAN, O., AND CARMELI, B. 2009. Toward simulation-based real-time decision-support-systems for emergency departments. In Proceedings of the 41st Conference on Winter Simulation. 2042-2053.
33. MCNEIL, A., FREY, R., AND EMBRECHT, P. 2005. Quantitative Risk Management. Princeton University Press.
34. MEDEIROS, D. J., SWENSON, E., AND DEFLITCH, C. 2008. Improving patient flow in a hospital emergency department. In Proceedings of the Winter Simulation Conference. Mason, S. J., Hill, R. R., Mönch, L., Rose, O., Jefferson, T., and Fowler, J. W. Eds., Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, 1526-1531.
35. SINREICH, D. AND MARMOR, Y. N. 2005. Emergency department operations: the basis for developing a simulation tool. IIE Trans. 37, 233-245. (Pubitemid 40274548)
36. SINREICH, D. AND MARMOR. Y. 2004. Emergency department operations: A simple and intuitive simulation tool based on the generic process approach. Tech. rep., Technion, Israel Institute of Technology. http://ie.technion.ac.il/ Home/Deceased/sinr/emergency2.pdf.
37. SINREICH, D. AND JABALI, O. 2007. Staggered work shifts: A way to downsize and restructure an emergency department workforce yet maintain current operational performance. Health Care Manag. Sciences 10, 293-308.
38. TSEYTLIN, Y. 2009. Queueing systems with heterogeneous servers: On fair routing of patients in emergency departments. M.Sc. Thesis, Technion. http://ie.technion.ac.il/serveng/References/thesis-yulia.pdf.
39. TROFIMOV, V., FEIGIN, P. D., MANDELBAUM, A., ISHAY, E., AND NADJHAROV, E. 2006. DATA Model for call center analysis: Model description and introduction to user interface. Tech. rep., Techion, Israel Institute of Technology. http://ie.technion.ac.il/Labs/Serveng/files/Model-Description-and-Introduction- to-User-Interface.pdf.
40. VOLLMANN, T. E., BERRY, W. L., AND WHYBARK, D. C. 1993. Integrated Production and Inventory Management. Business One Irwin, Homewood, IL.
41. WHITE, P. K. JR., 2005. A survey of data resources for simulating patient flows in healthcare delivery systems. In Proceedings of the Winter Simulation Conference, Kuhl, M. E., Steiger, N. M., Armstrong, F. B., and Joines, J. A. Eds., Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, 04-07.