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Discrete-Event Simulation of Health care Systems

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Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 206))

Abstract

Over the past 40 years, health care organizations have faced ever-increasing pressures to deliver quality care while facing rising costs, lower reimbursements, and new regulatory demands. Discrete-event simulation has become a popular and effective decision-making tool for the optimal allocation of scarce health care resources to improve patient flow, while minimizing health care delivery costs and increasing patient satisfaction. The proliferation of increasingly sophisticated discrete-event simulation software packages has resulted in a large number of new application opportunities, including more complex implementations. In addition, combined optimization and simulation tools allow decision-makers to quickly determine optimal system configurations, even for complex integrated facilities. This chapter provides an overview of discrete-event simulation modeling applications to health care clinics and integrated health care systems (e.g., hospitals, outpatient clinics, emergency departments, and pharmacies) over the past 40 years.

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References

  • Aggarwal, S. C., & Stafford, E. F. (1976). A simulation study to identify important design parameters of a typical outpatient health system and to analyze measures of its performance. Proceedings of the 1976 summer computer simulation conference (pp. 544–553). Washington, DC: Simulation Council.

    Google Scholar 

  • Akkerman, R., & Knip, M. (2004). Reallocation of beds to reduce waiting time for cardiac surgery. Health Care Management Science, 7, 119–126.

    Google Scholar 

  • Alessandra, A. J., Grazman, T. E., Parameswaran, R., & Yavas, U. (1978). Using simulation in hospital planning. Simulation, 30(2), 62–67.

    Google Scholar 

  • Alexopoulos, A., Goldsman, D., Fontanesi, J., Sawyer, M., De Guire, M., Kopald, D., et al. (2001). A discrete-event simulation application for clinics serving the poor. In B. A. Peters, J. S. Smith, D. J. Medeiros, & M. W. Rohrer (Eds.), Proceedings of the 2001 winter simulation conference (pp. 1386–1391). Arlington, VA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Altinel, I. K., & Ulas, E. (1996). Simulation modeling for emergency bed requirement planning. Annals of Operations Research, 67, 183–210.

    Google Scholar 

  • Amladi, P. (1984). Outpatient health care facility planning and sizing via computer simulation. In S. Sheppard, U. W. Pooch, & C. D. Pegden (Eds.), Proceedings of the 1984 winter simulation conference (pp. 705–711). Dallas, TX: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Badri, M., & Hollingsworth, J. (1993). A simulation model for scheduling in the emergency room. International Journal of Operations and Production Management, 13(3), 13–24.

    Google Scholar 

  • Baesler, F. F., Jahnsen, H. E., & DaCosta, M. (2003). The use of simulation and design of experiments for estimating maximum capacity in an emergency room. In S. Chick, P. J. Sánchez, D. Ferrin, & D. J. Morrice (Eds.), Proceedings of the 2003 winter simulation conference (pp. 1903–1906). New Orleans, LA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Baesler, F. F., & Sepúlveda, J. A. (2001). Multi-objective simulation optimization for a cancer treatment center. In B. A. Peters, J. S. Smith, D. J. Medeiros, & M. W. Rohrer (Eds.), Proceedings of the 2001 winter simulation conference (pp. 1405–1411). Arlington, VA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Baezner, D., Lomow, G., & Unger, B. W. (1990). Sim++™: The transition to distributed simulation. In D. Nicol (Ed.), Proceedings of the 1990 SCS western multiconference on simulation: Distributed simulation (pp. 211–218). San Diego, CA: Society for Computer Simulation.

    Google Scholar 

  • Bailey, N. T. (1952). A study of queues and appointment systems in hospital outpatient departments, with special reference to waiting times. Journal of the Royal Statistical Society, A14, 185–199.

    Google Scholar 

  • Baldwin, L. P., Eldabi, T., & Paul, R. J. (2004). Simulation in healthcare management: A soft approach (MAPIU). Simulation Modelling Practice and Theory, 12, 541–557.

    Google Scholar 

  • Banks, J. (1996). Software for simulation. In J. M. Charnes, D. M. Morrice, D. T. Brunner, & J. J. Swain (Eds.), Proceedings of the 1996 winter simulation conference (pp. 31–38). Coronado, CA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Banks, J. (1997). The future of simulation software: A panel discussion. In S. Andradottir, K. J. Healy, D. E. Withers, & B. L. Nelson (Eds.), Proceedings of the 1997 winter simulation conference (pp. 166–173). Atlanta, GA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Banks, J., & Carson, J. S. (1987). Applying the simulation process. In A. Thesen, H. Grant, & W. D. Kelton (Eds.), Proceedings of the 1987 winter simulation conference (pp. 68–71). Atlanta, GA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Benson, D. (1997). Simulation modeling and optimization using ProModel. In S. Andradottir, K. J. Healy, D. E. Withers, & B. L. Nelson (Eds.), Proceedings of the 1997 winter simulation conference (pp. 587–593). Atlanta, GA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Blake, J. T., Carter, M. W., & Richardson, S. (1996). An analysis of emergency room wait time issues via computer simulation. Information Systems and Operational Research, 34(4), 263–273.

    Google Scholar 

  • Blasak, R. E., Armel, W. S., Starks, D. W., & Hayduk, M. C. (2003). The use of simulation to evaluate hospital operations between the emergency department and a medical telemetry unit. In S. Chick, P. J. Sánchez, D. Ferrin, & D. J. Morrice (Eds.), Proceedings of the 2003 winter simulation conference (pp. 1887–1893). New Orleans, LA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Bodtker, K., Wilson, L., & Godolphin, W. (1992). Simulation as an aid to clinical chemistry laboratory planning. In J. Anderson (Ed.), Proceedings of the 1992 conference on simulation in health care and social services (pp. 15–18). San Diego, CA: Society for Computer Simulation.

    Google Scholar 

  • Butler, T. W., Karwan, K. R., & Sweigart, J. R. (1992a). Multi-level strategic evaluation of hospital plans and decisions. Journal of the Operational Research Society, 43(7), 665–675.

    Google Scholar 

  • Butler, T. W., Karwan, K. R., Sweigart, J. R., & Reeves, G. R. (1992b). An integrative model-based approach to hospital layout. IIE Transactions, 24(2), 144–152.

    Google Scholar 

  • Butler, T., Reeves, G., Karwan, K., & Sweigart, J. (1992c). Assessing the impact of patient care policies using simulation analysis. Journal of the Society for Health Systems, 3(3), 38–53.

    Google Scholar 

  • Cahill, W., & Render, M. (1999). Dynamic simulation modeling of ICU bed availability. In P. A. Farrington, H. B. Nembhard, D. T. Sturrock, & G. W. Evans (Eds.), Proceedings of the 1999 winter simulation conference (pp. 1573–1576). Phoenix, AR: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Carlson, R. C., Hershey, J. C., & Kropp, D. H. (1979). Use of optimization and simulation models to analyze outpatient health care settings. Decision Sciences, 10, 412–433.

    Google Scholar 

  • Carroll, D. (1996). MedModel-Healthcare simulation software. In J. M. Charnes, D. M. Morrice, D. T. Brunner, & J. J. Swain (Eds.), Proceedings of the 1996 winter simulation conference (pp. 441–446). Coronado, CA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Carson, J. S. (1996). AutoStat output statistical analysis for AutoMod Users. In J. M. Charnes, D. M. Morrice, D. T. Brunner, & J. J. Swain (Eds.), Proceedings of the 1996 winter simulation conference (pp. 492–499). Coronado, CA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Carson, Y., & Maria, A. (1997). Simulation optimization: Methods and applications. In S. Andradottir, K. J. Healy, D. E. Withers, & B. L. Nelson (Eds.), Proceedings of the 1997 winter simulation conference (pp. 118–126). Atlanta, GA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Carter, M. W., O’Brien-Pallas, L. L., Blake, J. T., McGillis, L., & Zhu, S. (1992). Simulation, scheduling, and operating rooms. In J. G. Anderson (Ed.), Proceedings of the 1992 simulation in health care and social services conference (pp. 28–30). San Diego, CA: Simulation Council Inc.

    Google Scholar 

  • Centeno, M. A., Albacete, C., Terzano, D. O., Carrillo, M., & Ogazon, T. (2000). A simulation study of the radiology department at JMH. In J. A. Joines, R. R. Barton, K. Kang, & P. A. Fishwick (Eds.), Proceedings of the 2000 winter simulation conference (pp. 1978–1984). Orlando, FL: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Centeno, M. A., Giachetti, R., Linn, R., & Ismail, A. M. (2003). A simulation-ILP based tool for scheduling ER staff. In S. Chick, P. J. Sánchez, D. Ferrin, & D. J. Morrice (Eds.), Proceedings of the 2003 winter simulation conference (pp. 1930–1938). New Orleans, LA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Centeno, M. A., Lee, M. A., Lopez, E., Fernandez, H. R., Carrillo, M., & Ogazon, T. (2001). A simulation study of the labor and delivery rooms and JMH. In B. A. Peters, J. S. Smith, D. J. Medeiros, & M. W. Rohrer (Eds.), Proceedings of the 2001 winter simulation conference (pp. 1392–1400). Arlington, VA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Chan, S.-Y. E., Ohlmann, J., Dunbar, S., Dunbar, C., Ryan, S., & Savory, P. (2002). Operations research methods applied to workflow in a medical records department. Health Care Management Science, 5, 191–199.

    Google Scholar 

  • Coffin, M. A., Lassiter, G., Killingsworth, B., & Kleckley, J. W. (1993). A simulation model of an X-ray facility. In J. G. Anderson & M. Katzper (Eds.), 1993 SCS western multiconference on simulation: Simulation in the health sciences and services (pp. 3–7). La Jolla, CA: Society for Computer Simulation.

    Google Scholar 

  • Cohen, M. A., Hershey, J. C., & Weiss, E. N. (1980). Analysis of capacity decisions for progressive patient care hospital facilities. Health Services Research, 15, 145–160.

    Google Scholar 

  • Currie, K., Iskander, W., Michael, L., & Coberly, C. (1984). Simulation modeling in health care facilities. In S. Sheppard, U. W. Pooch, & C. D. Pegden (Eds.), Proceedings of the 1984 winter simulation conference (pp. 713–717). Dallas, TX: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Davies, R., & Davies, H. (1994). Modeling patient flows and resource provision in health systems. Omega, 22(2), 123–131.

    Google Scholar 

  • Dean, B., van Ackere, A., Gallivan, S., & Barber, N. (1999). When should pharmacists visit their wards? An application of simulation to planning hospital pharmacy services. Health Care Management Science, 2, 35–42.

    Google Scholar 

  • Dearie, D., Gerson, J., & Warfield, T. (1976). The development and use of a simulation model of an outpatient clinic. Proceedings of the 1976 summer computer simulation conference (pp. 554–558). Washington, DC: Simulation Council.

    Google Scholar 

  • Draeger, M. A. (1992). An emergency department simulation model used to evaluate alternative nurse staffing and patient population scenarios. In J. J. Swain, D. Goldsman, R. C. Crain, & J. R. Wilson (Eds.), Proceedings of the 1992 winter simulation conference (pp. 1057–1064). Arlington, VA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Drevna, M. C., & Kasales, C. J. (1984). Introduction to Arena. In S. Sheppard, U. W. Pooch, & C. D. Pegden (Eds.), Proceedings of the 1984 winter simulation conference (pp. 431–436). Dallas, TX: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Dumas, M. B. (1984). Simulation modeling for hospital bed planning. Simulation, 43, 69–78.

    Google Scholar 

  • Dumas, M. B. (1985). Hospital bed utilization: An implemented simulation approach to adjusting and maintaining appropriate levels. Health Services Research, 20(1), 43–61.

    Google Scholar 

  • Edwards, R., Clague, J., Barlow, J., Clarke, M., Reed, P., & Rada, R. (1994). Operations research survey and computer simulation of waiting times in two medical outpatient clinic structures. Health Care Analysis, 2, 164–169.

    Google Scholar 

  • Eldabi, T., & Paul, R. J. (2001). A proposed approach for modeling healthcare systems for understanding. In B. A. Peters, J. S. Smith, D. J. Medeiros, & M. W. Rohrer (Eds.), Proceedings of the 2001 winter simulation conference (pp. 1412–1420). Arlington, VA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • El-Darzi, J., Vasilakis, C., Chaussalet, T., & Millard, P. H. (1998). A simulation modeling approach to evaluating length of stay, occupancy, emptiness, and bed blocking in a hospital geriatric department. Health Care Management Science, 1, 143–149.

    Google Scholar 

  • England, W., & Roberts, S. (1978). Applications of computer simulation in health care. In H. J. Highland, L. G. Hull, & N. R. Neilsen (Eds.), Proceedings of the 1978 winter simulation conference (pp. 665–676). Miami Beach, FL: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Evans, G. W., Gor, T. B., & Unger, E. (1996). A simulation model for evaluating personnel schedules in a hospital emergency department. In J. M. Charnes, D. M. Morrice, D. T. Brunner, & J. J. Swain (Eds.), Proceedings of the 1996 winter simulation conference (pp. 1205–1209). Coronado, CA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Everett, J. E. (2002). A decision support simulation model for the management of an elective surgery waiting system. Health Care Management Science, 5, 89–95.

    Google Scholar 

  • Ferrin, D. M., Miller, M. J., Wininger, S., & Neuendorf, M. S. (2004). Analyzing incentives and scheduling in a major metropolitan hospital operating room through simulation. In R. G. Ingalls, M. D. Rossetti, J. S. Smith, & B. A. Peters (Eds.), Proceedings of the 2004 winter simulation conference (pp. 1975–1980). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Fetter, R. B., & Thompson, J. D. (1965). The simulation of hospital systems. Operations Research, 13(5), 689–711.

    Google Scholar 

  • Fitzpatrick, K. E., Baker, J. R., & Dave, D. S. (1993). An application of computer simulation to improve scheduling of hospital operating room facilities in the United States. International Journal of Computer Applications in Technology, 6(4), 215–224.

    Google Scholar 

  • Freedman, R. W. (1994). Reduction of average length of stay in the emergency room using discrete simulation. In J. G. Anderson & M. Katzper (Eds.), Proceedings of simulation in the health sciences (pp. 6–8). Tempe, AR: Society for Computer Simulation.

    Google Scholar 

  • Gabaeff, S. C., & Lennon, J. (1991). New computerized technology for the design and planning of emergency departments. Proceedings of the American Hospital Association (pp. 1–15). Anaheim, CA: American Hospital Association.

    Google Scholar 

  • Garcia, M. L., Centeno, M. A., Rivera, C., & DeCario, N. (1995). Reducing time in an emergency room via a fast-track. In C. Alexopoulos, K. Kang, W. R. Lilegdon, & D. Goldsman (Eds.), Proceedings of the 1995 winter simulation conference (pp. 1048–1053). Washington DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Gipps, P. J. (1986). The role of computer graphics in validating simulation models. Mathematics and Computers in Simulation, 28(4), 285–289.

    Google Scholar 

  • Glover, F., Kelly, J. P., & Laguna, M. L. (1996). New advances and applications of combining simulation and optimization. In J. M. Charnes, D. M. Morrice, D. T. Brunner, & J. J. Swain (Eds.), Proceedings of the 1996 winter simulation conference (pp. 144–152). Coronado, CA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Godolphin, W., Bodtker, K., & Wilson, L. (1992). Simulation modeling: A tool to help predict the impact of automation in clinical laboratories. Laboratory Robotics and Automation, 4(5), 249–255.

    Google Scholar 

  • Goitein, M. (1990). Waiting patiently. The New England Journal of Medicine, 323(9), 604–608.

    Google Scholar 

  • Groothuis, S., Goldschmidt, H. M. J., Drupsteen, E. J., de Vries, J. C. M., Hasman, A., & van Merode, G. G. (2002). Application of computer simulation analysis to assess the effects of relocating a hospital phlebotomy department. Annals of Clinical Biochemistry, 39, 261–272.

    Google Scholar 

  • Groothuis, S., van Merode, G. G., & Hasman, A. (2001). Simulation as decision tool for capacity planning. Computers Methods and Programs in Biomedicine, 66, 139–151.

    Google Scholar 

  • Guo, M., Wagner, M., & West, C. (2004). Outpatient clinic scheduling—A simulation approach. In R. G. Ingalls, M. D. Rossetti, J. S. Smith, & B. A. Peters (Eds.), Proceedings of the 2004 winter simulation conference (pp. 1981–1987). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Hancock, W. M., Magerlein, D. B., Storer, R. H., & Martin, J. B. (1978). Parameters affecting hospital occupancy and implications for faculty sizing. Health Services Research, 13, 276–289.

    Google Scholar 

  • Hancock, W., & Walter, P. (1979). The use of computer simulation to develop hospital systems. Simuletter, 10(4), 28–32.

    Google Scholar 

  • Hancock, W., & Walter, P. (1984). The use of admissions simulation to stabilize ancillary workloads. Simulation, 43(2), 88–94.

    Google Scholar 

  • Harper, P. R. (2002). A framework for operational modelling of hospital resources. Health Care Management Science, 5, 165–173.

    Google Scholar 

  • Harrell, C. R., & Lange, V. R. (2001). Healthcare simulation modeling and optimization using MEDMODEL. In B. A. Peters, J. S. Smith, D. J. Medeiros, & M. W. Rohrer (Eds.), Proceedings of the 2001 winter simulation conference (pp. 233–238). Arlington, VA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Harrell, C. R., & Price, R. N. (2000). Healthcare simulation modeling and optimization using MEDMODEL. In J. A. Joines, R. R. Barton, K. Kang, & P. A. Fishwick (Eds.), Proceedings of the 2000 winter simulation conference (pp. 203–207). Orlando, FL: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Harris, R. A. (1985). Hospital bed requirements planning. European Journal of Operational Research, 25, 121–126.

    Google Scholar 

  • Hashimoto, F., & Bell, S. (1996). Improving outpatient clinic staffing and scheduling with computer simulation. Journal of General Internal Medicine, 11, 182–184.

    Google Scholar 

  • Heflin, D. L., & Harrell, C. R. (1998). Healthcare simulation modeling and optimization using MEDMODEL. In J. D. Medeiros, E. F. Watson, J. S. Carson, & M. S. Manivannan (Eds.), Proceedings of the 1998 winter simulation conference (pp. 185–190). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Ishimoto, K., Ishimitsu, T., Koshiro, A., & Hirose, S. (1990). Computer simulation of optimum personnel assignment in hospital pharmacy using a work-sampling method. Medical Informatics, 15(4), 343–354.

    Google Scholar 

  • Iskander, W. H., & Carter, D. M. (1991). A simulation model for a same day care facility at a university hospital. In B. L. Nelson, W. D. Kelton, & G. M. Clark (Eds.), Proceedings of the 1991 winter simulation conference (pp. 846–853). Phoenix, AR: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Isken, M. W., Ward, T. J., & McKee, T. C. (1999). Simulating outpatient obstetrical clinics. In P. A. Farrington, H. B. Nembhard, D. T. Sturrock, & G. W. Evans (Eds.), Proceedings of the 1999 winter simulation conference (pp. 1557–1563). Phoenix, AR: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Johnson, W. C. (1998). Birth of a new maternity process. In J. D. Medeiros, E. F. Watson, J. S. Carson, & M. S. Manivannan (Eds.), Proceedings of the 1998 winter simulation conference (pp. 1429–1432). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Jones, L. M., & Hirst, A. J. (1986). Visual simulation in hospitals: A managerial or a political tool? European Journal of Operational Research, 29, 167–177.

    Google Scholar 

  • Jun, J. B., Jacobson, S. H., & Swisher, J. R. (1999). Applications of discrete-event simulation in health care clinics: A survey. Journal of the Operational Research Society, 50(2), 109–123.

    Google Scholar 

  • Kachhal, S. K., Klutke, G. A., & Daniels, E. B. (1981). Two simulation applications to outpatient clinics. In T. I. Oren, C. M. Delfosse, & C. M. Shubl (Eds.), Proceedings of the 1981 winter simulation conference (pp. 657–665). Atlanta, GA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Kanon, D. (1974). Simulation of waiting line problems in a hospital setting. In J. Anderson & J. M. Forsythe (Eds.), Proceedings of the Ist world conference on medical information (pp. 503–507). Stockholm, Netherlands: North-Holland.

    Google Scholar 

  • Karnon, J. (2003). Alternative decision modelling techniques for the evaluation of health care technologies: Markov processes versus discrete-event simulation. Health Economics, 12, 837–848.

    Google Scholar 

  • Keller, L. F. (1994). MedModel-specialized software for the healthcare industry. In J. D. Tew, S. Manivannan, D. A. Sadowski, & A. F. Seila (Eds.), Proceedings of the 1994 winter simulation conference (pp. 533–537). Lake Buena Vista, FL: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Kho, J. W., & Johnson, G. M. (1976). Computer simulation of a hospital health-care delivery system. In R. G. Sargent, H. J. Highland, & T. J. Schriber (Eds.), Proceedings of the 1976 bicentennial winter simulation conference (pp. 349–360). Gaithersburg, MD: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Kirtland, A., Lockwood, J., Poisker, K., Stamp, L., & Wolfe, P. (1995). Simulating an emergency department is as much fun as…. In C. Alexopoulos, K. Kang, W. R. Lilegdon, & D. Goldsman (Eds.), Proceedings of the 1995 winter simulation conference (pp. 1039–1042). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Klafehn, K. A. (1987). Impact points in patient flows through a radiology department provided through simulation. In A. Thesen, H. Grant, & W. D. Kelton (Eds.), Proceedings of the 1987 winter simulation conference (pp. 914–918). Atlanta, GA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Klafehn, K. A., & Connolly, M. (1993). The simulation/animation of a new outpatient hematology laboratory. In J. G. Anderson & M. Katzper (Eds.), 1993 SCS western multiconference on simulation: Simulation in the health sciences and services (pp. 12–15). La Jolla, CA: Society for Computer Simulation.

    Google Scholar 

  • Klafehn, K. A., & Owens, D. (1987). A simulation model designed to investigate resource utilization in a hospital emergency room. In W. Stead (Ed.), Proceedings of the eleventh annual symposium on computer applications in medical care (pp. 676–679). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Klafehn, K. A., Owens, D., Felter, R., Vonneman, N., & McKinnon, C. (1989). Evaluating the linkage between emergency medical services and the provision of scarce resources through simulation. In L. Kingsland III (Ed.), Proceedings of the 13th annual symposium on computer applications in medical care (pp. 335–339). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Klassen, K. J., & Rohleder, T. R. (1996). Scheduling outpatient appointments in a dynamic environment. Journal of Operations Management, 14, 83–101.

    Google Scholar 

  • Klein, R. W., Dittos, R. S., Roberts, S. D., & Wilson, J. R. (1993). Simulation modeling and health-care decision making. Medical Decision Making, 13(4), 347–354.

    Google Scholar 

  • Kletke, M. G., & Dooley, T. E. (1984). A simulation model of a maternity ward: A key planning tool for hospital administrators, Proceedings of the Conference on Simulation in Health Care Delivery System (pp. 35–39), San Diego, California, USA, 2–4 February.

    Google Scholar 

  • Kraitsik, M. J., & Bossmeyer, A. (1993). Simulation applied to planning an emergency department expansion. In J. G. Anderson & M. Katzper (Eds.), 1993 SCS western multiconference on simulation: Simulation in the health sciences and services (pp. 19–27). La Jolla, CA: Society for Computer Simulation.

    Google Scholar 

  • Kropp, D., Carlson, R. C., & Jucker, J. V. (1978). Use of both optimization and simulation models to analyze complex systems. In H. J. Highland, L. G. Hull, & N. R. Neilsen (Eds.), Proceedings of the 1978 winter simulation conference (pp. 195–201). Miami Beach, FL: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Kropp, D., & Hershey, J. (1979). Recursive optimization-simulation modeling for the analysis of ambulatory health care facilities. Simuletter, 10(4), 43–46.

    Google Scholar 

  • Kumar, A. P., & Kapur, R. (1989). Discrete simulation application-scheduling staff for the emergency room. In E. A. MacNair, K. J. Musselman, & P. Heidelberger (Eds.), Proceedings of the 1989 winter simulation conference (pp. 1112–1120). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Kuzdrall, P. J., Kwak, N. K., & Schmitz, H. H. (1981). Simulating space requirements and scheduling policies in a hospital surgical suite. Simulation, 27, 163–171.

    Google Scholar 

  • Kwak, N., Kuzdrall, P., & Schmitz, H. (1975). Simulating the use of space in a hospital surgical suite. Simulation, 24(5), 147–152.

    Google Scholar 

  • Lach, J. M., & Vázquez, R. M. (2004). Simulation model of the telemedicine program. In R. G. Ingalls, M. D. Rossetti, J. S. Smith, & B. A. Peters (Eds.), Proceedings of the 2004 winter simulation conference (pp. 2012–2017). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Lambo, D. (1983). An optimization-simulation model of a rural health center in Nigeria. Interfaces, 13(3), 29–35.

    Google Scholar 

  • Law, A. M., & Kelton, W. D. (2000). Simulation modelling and analysis (3rd ed.). New York, NY: McGraw-Hill.

    Google Scholar 

  • Lehaney, B., & Hlupic, V. (1995). Simulation modeling for resource allocation and planning in the health sector. Journal of the Royal Society of Health, 115(6), 382–385.

    Google Scholar 

  • Lehaney, B., & Paul, R. J. (1994). Using soft systems methodology to develop a simulation of out-patient services. Journal of the Royal Society for Health, 114, 248–251.

    Google Scholar 

  • Lehaney, B., & Paul, R. J. (1996). The use of soft systems methodology in the development of a simulation of outpatient services at Watford General Hospital. Journal of the Operational Research Society, 47, 864–870.

    Google Scholar 

  • Lennon, J. (1992). Simulation in the design and planning of emergency departments. 1992 SCS western multiconference: Simulation in education for business, management, and MIS (pp. 93–97). Newport Beach, CA: Society for Computer Simulation.

    Google Scholar 

  • Levy, J. L., Watford, B. A., & Owen, V. T. (1989). Simulation analysis of an outpatient services facility. Journal of the Society for Health Systems, 1(2), 35–49.

    Google Scholar 

  • Lim, T., Uyeno, D., & Vertinsky, I. (1975). Hospital admissions systems: A simulation approach. Simulation and Games, 6(2), 188–201.

    Google Scholar 

  • Liyanage, L., & Gale, M. (1995). Quality improvement for the Campbelltown hospital emergency service. 1995 I.E. international conference on systems, man, and cybernetics (pp. 1997–2002). Vancouver, BC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Lopez-Valcarcel, B. G., & Perez, P. B. (1994). Evaluation of alternative functional designs in an emergency department by means of simulation. Simulation, 63(1), 20–28.

    Google Scholar 

  • Lowery, J. C. (1992). Simulation of a hospital’s surgical suite and critical care area. In J. J. Swain, D. Goldsman, R. C. Crain, & J. R. Wilson (Eds.), Proceedings of the 1992 winter simulation conference (pp. 1071–1078). Arlington, VA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Lowery, J. C. (1993). Multi-hospital validation of critical care simulation model. In G. W. Evans, M. Mollaghasemi, E. C. Russell, & W. E. Biles (Eds.), Proceedings of the 1993 winter simulation conference (pp. 1207–1215). Los Angeles, CA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Lowery, J. C. (1994). Barriers to implementing simulation in health care. In J. D. Tew, S. Manivannan, D. A. Sadowski, & A. F. Seila (Eds.), Proceedings of the 1994 winter simulation conference (pp. 868–875). Lake Buena Vista, FL: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Lowery, J. C. (1996). Introduction to simulation in health care. In J. M. Charnes, D. M. Morrice, D. T. Brunner, & J. J. Swain (Eds.), Proceedings of the 1996 winter simulation conference (pp. 78–84). Coronado, CA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Lowery, J. C. (1998). Getting started in simulation healthcare. In J. D. Medeiros, E. F. Watson, J. S. Carson, & M. S. Manivannan (Eds.), Proceedings of the 1998 winter simulation conference (pp. 31–35). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Lowery, J. C., & Davis, J. A. (1999). Determination of operating room requirements using simulation. In P. A. Farrington, H. B. Nembhard, D. T. Sturrock, & G. W. Evans (Eds.), Proceedings of the 1999 winter simulation conference (pp. 1568–1572). Phoenix, AR: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Lowery, J. C., & Martin, J. B. (1992). Design and validation of a critical care simulation model. Journal of the Society for Health Systems, 3(3), 15–36.

    Google Scholar 

  • Magerlein, J. M., & Martin, J. B. (1976). Surgical demand scheduling: A review. Health Services Research, 11, 53–68.

    Google Scholar 

  • Mahachek, A. (1992). An introduction to patient flow simulation for health-care managers. Journal of the Society for Health Systems, 3(3), 73–81.

    Google Scholar 

  • Mahachek, A. R., & Knabe, T. L. (1984). Computer simulation of patient flow in obstetrical/gynecology clinics. Simulation, 30, 95–101.

    Google Scholar 

  • Mahapatra, S., Koelling, C. P., Patvivatsiri, L., Fraticelli, B., Eitel, D., & Grove, L. (2003). Pairing emergency severity index5-level triage data with computer aided system design to improve emergency department access and throughput. In S. Chick, P. J. Sánchez, D. Ferrin, & D. J. Morrice (Eds.), Proceedings of the 2003 winter simulation conference (pp. 1917–1925). New Orleans, LA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Marsh, J. (1979). Simulation as a decision aid: A management perspective. Simuletter, 10(5), 47–49.

    Google Scholar 

  • Martin, E., Grønhaug, R., & Haugene, K. (2003). Proposals to reduce over-crowding, lengthy stays and improve patient care: Study on the geriatric department In Norway’s largest hospital. In S. Chick, P. J. Sánchez, D. Ferrin, & D. J. Morrice (Eds.), Proceedings of the 2003 winter simulation conference (pp. 1876–1881). New Orleans, LA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Masterson, B. J., Mihara, T. G., Miller, G., Randolph, S. C., Forkner, M. E., & Crouter, A. L. (2004). Using models and data to support optimization of the military health system: A case study in an intensive care unit. Health Care Management Science, 7, 217–224.

    Google Scholar 

  • McGuire, F. (1994). Using simulation to reduce length of stay in emergency departments. In J. D. Tew, S. Manivannan, D. A. Sadowski, & A. F. Seila (Eds.), Proceedings of the 1994 winter simulation conference (pp. 861–867). Lake Buena Vista, FL: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • McHugh, M. L. (1989). Computer simulation as a method for selecting nurse staffing levels in hospitals. In E. A. MacNair, K. J. Musselman, & P. Heidelberger (Eds.), Proceedings of the 1989 winter simulation conference (pp. 1121–1129). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Meier, L., Sigal, E., & Vitale, F. R. (1985). The use of simulation model for planning ambulatory surgery. In D. T. Gantz, G. C. Blais, & S. L. Solomon (Eds.), Proceedings of the 1985 winter simulation conference (pp. 558–563). San Francisco, CA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Miller, M. J., Ferrin, D. M., & Messer, M. G. (2004). Fixing the emergency department: A transformational journey with EDsim. In R. G. Ingalls, M. D. Rossetti, J. S. Smith, & B. A. Peters (Eds.), Proceedings of the 2004 winter simulation conference (pp. 1988–1993). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Miller, M. J., Ferrin, D. M., & Szymanski, J. M. (2003). Simulating six sigma improvement ideas for a hospital emergency department. In S. Chick, P. J. Sánchez, D. Ferrin, & D. J. Morrice (Eds.), Proceedings of the 2003 winter simulation conference (pp. 1926–1929). New Orleans, LA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Morrison, B. P., & Bird, B. C. (2003). A methodology for modeling front office and patient care processes in ambulatory health care. In S. Chick, P. J. Sánchez, D. Ferrin, & D. J. Morrice (Eds.), Proceedings of the 2003 winter simulation conference (pp. 1882–1886). New Orleans, LA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Mukherjee, A. K. (1991). A simulation model for management of operations in the pharmacy of a hospital. Simulation, 56(2), 91–103.

    Google Scholar 

  • Murphy, D. R., & Sigal, E. (1985). Evaluating surgical block scheduling using computer simulation. In D. T. Gantz, G. C. Blais, & S. L. Solomon (Eds.), Proceedings of the 1985 winter simulation conference (pp. 551–557). San Francisco, CA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • O’Kane, P. C. (1981). A simulation model of a diagnostic radiology department. European Journal of Operational Research, 6, 38–45.

    Google Scholar 

  • Olson, E., & Dux, L. E. (1994). Computer model targets best route for expanding hospital surgicenter. Industrial Engineering, 26(9), 24–26.

    Google Scholar 

  • Osidach, V. Z., & Fu, M. C. (2003). Computer simulation of a mobile examination center. In S. Chick, P. J. Sánchez, D. Ferrin, & D. J. Morrice (Eds.), Proceedings of the 2003 winter simulation conference (pp. 1868–1875). New Orleans, LA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Paul, R. J. (1989). Visual simulation: Seeing is believing. Impacts of Recent Computer Advances on Operations Research, 9, 422–432.

    Google Scholar 

  • Paul, R. J., & Kuljis, J. (1995). A generic simulation package for organizing outpatient clinics. In C. Alexopoulos, K. Kang, W. R. Lilegdon, & D. Goldsman (Eds.), Proceedings of the 1995 winter simulation conference (pp. 1043–1047). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Price, R. N., & Harrell, C. R. (1999). Healthcare simulation modeling and optimization using MEDMODEL. In P. A. Farrington, H. B. Nembhard, D. T. Sturrock, & G. W. Evans (Eds.), Proceedings of the 1999 winter simulation conference (pp. 215–219). Phoenix, AR: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Rakich, J. S., Kuzdrall, P. J., Klafehn, K. A., & Krigline, A. G. (1991). Simulation in the hospital setting: Implications for managerial decision making and management development. Journal of Management Development, 10(4), 31–37.

    Google Scholar 

  • Ramakrishnan, S., Nagarkar, K., DeGennaro, M., Srihari, K., Courtney, A. K., & Emick, F. (2004). A study of the CT scan area of a healthcare provider. In R. G. Ingalls, M. D. Rossetti, J. S. Smith, & B. A. Peters (Eds.), Proceedings of the 2004 winter simulation conference (pp. 2025–2031). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Ramis, F. J., Palma, J. L., & Baesler, F. F. (2001). The use of simulation for process improvement at an ambulatory surgery center. In B. A. Peters, J. S. Smith, D. J. Medeiros, & M. W. Rohrer (Eds.), Proceedings of the 2001 winter simulation conference (pp. 1401–1404). Arlington, VA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Rising, E. J., Baron, R., & Averill, B. (1973). A systems analysis of a university-health-service outpatient clinic. Operations Research, 21(5), 1030–1047.

    Google Scholar 

  • Ritondo, M., & Freedman, R. W. (1993). The effects of procedure scheduling on emergency room throughput: A simulation study. In J. G. Anderson & M. Katzper (Eds.), 1993 SCS western multiconference on simulation: Simulation in the health sciences and services (pp. 8–11). La Jolla, CA: Society for Computer Simulation.

    Google Scholar 

  • Rohleder, T. R., & Klassen, K. J. (2002). Rolling horizon appointment scheduling: A simulation study. Health Care Management Science, 5, 201–209.

    Google Scholar 

  • Romanin-Jacur, G., & Facchin, P. (1987). Optimal planning of a pediatric semi-intensive care unit via simulation. European Journal of Operational Research, 29, 192–198.

    Google Scholar 

  • Rossetti, M. D., Kumar, A., & Felder, R. A. (1998). Mobile robot simulation of clinic laboratory deliveries. In J. D. Medeiros, E. F. Watson, J. S. Carson, & M. S. Manivannan (Eds.), Proceedings of the 1998 winter simulation conference (pp. 1415–1421). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Rossetti, M. D., Trzcinski, G. F., & Syverud, S. A. (1999). Emergency department simulation and determination of optimal attending physician staffing schedules. In P. A. Farrington, H. B. Nembhard, D. T. Sturrock, & G. W. Evans (Eds.), Proceedings of the 1999 winter simulation conference (pp. 1532–1540). Phoenix, AR: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Samaha, S., Armel, W. S., & Starks, D. W. (2003). The use of simulation to reduce the length of stay in an emergency department. In S. Chick, P. J. Sánchez, D. Ferrin, & D. J. Morrice (Eds.), Proceedings of the 2003 winter simulation conference (pp. 1907–1911). New Orleans, LA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Sanchez, S. M., Ogazon, T., Ferrin, D. M., Scpúlveda, J. A., & Ward, T. J. (2000). Emerging issues in healthcare simulation. In J. A. Joines, R. R. Barton, K. Kang, & P. A. Fishwick (Eds.), Proceedings of the 2000 winter simulation conference (pp. 1999–2003). Orlando, FL: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Sargent, R. G. (1992). Validation and verification of simulation models. In J. J. Swain, D. Goldsman, R. C. Crain, & J. R. Wilson (Eds.), Proceedings of the 1992 winter simulation conference (pp. 104–114). Arlington, VA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Sepúlveda, J. A., Thompson, W. J., Baesler, F. F., Alvarez, M. I., & Cahoon, L. E., III. (1999). The use of simulation for process improvement in a cancer treatment center. In P. A. Farrington, H. B. Nembhard, D. T. Sturrock, & G. W. Evans (Eds.), Proceedings of the 1999 winter simulation conference (pp. 1541–1548). Phoenix, AR: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Sinreich, D., & Marmor, Y. N. (2004). A simple and intuitive simulation tool for analyzing emergency department operations. In R. G. Ingalls, M. D. Rossetti, J. S. Smith, & B. A. Peters (Eds.), Proceedings of the 2004 winter simulation conference (pp. 1994–2002). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Smith, S. R., Schroer, B. J., & Shannon, R. E. (1979). Scheduling of patients and resources for ambulatory health care. In H. J. Highland, M. G. Spiegel, & R. Shannon (Eds.), Proceedings of the 1979 winter simulation conference (pp. 553–562). San Diego, CA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Smith, E. A., & Warner, H. R. (1971). Simulation of a multiphasic screening procedure for hospital admissions. Simulation, 17(2), 57–64.

    Google Scholar 

  • Smith-Daniels, V. L., Schweikhart, S. B., & Smith-Daniels, D. E. (1988). Capacity management in health care services: Review and future research directions. Decision Sciences, 19, 889–918.

    Google Scholar 

  • Stafford, E. F., Jr. (1978). Simulation vs. mathematical analysis for systems modeling: A comparison of techniques Proceedings of the 1978 summer computer simulation conference (pp. 53–159). Los Angeles, CA: AFIPS.

    Google Scholar 

  • Stafford, E. F., Jr. (1976). A general simulation model for multifacility outpatient clinics, M.S. Thesis, Pennsylvania State University, Pennsylvania.

    Google Scholar 

  • Stahl, J. E., Roberts, M. S., & Gazelle, S. (2003). Optimizing management and financial performance of the teaching ambulatory care clinic. Journal of General Internal Medicine, 18, 266–274.

    Google Scholar 

  • Standridge, C. R. (1999). A tutorial on simulation in health care: Applications and issues. In P. A. Farrington, H. B. Nembhard, D. T. Sturrock, & G. W. Evans (Eds.), Proceedings of the 1999 winter simulation conference (pp. 49–55). Phoenix, AR: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Steward, D., & Standridge, C. R. (1996). A veterinary practice simulator based on the integration of expert system and process modeling. Simulation, 66, 143–159.

    Google Scholar 

  • Swisher, J. R., & Jacobson, S. H. (2002). Evaluating the design of a family practice healthcare clinic using discrete-event simulation. Health Care Management Science, 5, 75–88.

    Google Scholar 

  • Swisher, J. R., Jacobson, S. H., Jun, J. B., & Balci, O. (2001). Modeling and analyzing a physician clinic environment using discrete-event (visual) simulation. Computers and Operations Research, 28(2), 105–125.

    Google Scholar 

  • Swisher, J. R., Jun, B. J., Jacobson, S. H., & Balci, O. (1997). Simulation of the Queston physician network. In S. Andradottir, K. J. Healy, D. E. Withers, & B. L. Nelson (Eds.), Proceedings of the 1997 winter simulation conference (pp. 1146–1154). Atlanta, GA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Takakuwa, S. T., & Shiozaki, H. (2004). Functional analysis for operating emergency department of a general hospital. In R. G. Ingalls, M. D. Rossetti, J. S. Smith, & B. A. Peters (Eds.), Proceedings of the 2004 winter simulation conference (pp. 2003–2011). Washington, DC: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Tan, B. A., Gubaras, A., & Phojanamongkolkij, N. (2002). Simulation study of Dreyer urgent care facility. In E. Yücesan, C. H. Chen, J. L. Snowdon, & J. M. Charnes (Eds.), Proceedings of the 2002 winter simulation conference (pp. 1922–1927). San Diego, CA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Valinsky, D. (1975). Simulation. In L. J. Shuman, R. D. Speas, & J. P. Young (Eds.), Operations research in healthcare: A critical analysis. Baltimore, MD: The Johns Hopkins University Press.

    Google Scholar 

  • Vasilakis, C., & El-Darzi, E. (2001). A simulation study of the winter bed crisis. Health Care Management Science, 4, 31–36.

    Google Scholar 

  • Vassilacopoulos, G. (1985). A simulation model for bed allocation to hospital inpatient departments. Simulation, 45(5), 233–241.

    Google Scholar 

  • Vemuri, S. (1984). Simulated analysis of patient waiting time in an outpatient pharmacy. American Journal of Hospital Pharmacy, 41, 1127–1130.

    Google Scholar 

  • Vissers, J. M. H. (1998). Health care management modelling: A process perspective. Health Care Management Science, 1, 77–85.

    Google Scholar 

  • Walter, S. D. (1973). A comparison of appointment schedules in hospital radiology department. British Journal of Preventive and Social Medicine, 27, 160–167.

    Google Scholar 

  • Weng, M. L., & Houshmand, A. A. (1999). Healthcare simulation: A case study at a local clinic. In P. A. Farrington, H. B. Nembhard, D. T. Sturrock, & G. W. Evans (Eds.), Proceedings of the 1999 winter simulation conference (pp. 1577–1584). Phoenix, AR: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Wiinamaki, A., & Dronzek, R. (2003). Using simulation in the architectural concept phase of an emergency department design. In S. Chick, P. J. Sánchez, D. Ferrin, & D. J. Morrice (Eds.), Proceedings of the 2003 winter simulation conference (pp. 1912–1916). New Orleans, LA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Williams, S. V. (1983). How many intensive care beds are enough? Critical Care Medicine, 11(6), 412–416.

    Google Scholar 

  • Williams, W. J., Covert, R. P., & Steele, J. D. (1967). Simulation modeling of a teaching hospital clinic. Hospitals, 41(21), 71–75.

    Google Scholar 

  • Wilson, J. C. T. (1981). Implementation of computer simulation projects in health care. Journal of the Operational Research Society, 32, 825–832.

    Google Scholar 

  • Wilt, A., & Goddin, D. (1989). Health care case study: Simulating staffing needs and work flow in an outpatient diagnostic center. Industrial Engineering, 21(5), 22–26.

    Google Scholar 

  • Wong, C., Geiger, G., Derman, Y. D., Busby, C. R., & Carter, M. W. (2003). Redesigning the medication ordering, dispensing, and administration process in an acute care academic health sciences centre. In S. Chick, P. J. Sánchez, D. Ferrin, & D. J. Morrice (Eds.), Proceedings of the 2003 winter simulation conference (pp. 1894–1902). New Orleans, LA: Institute of Electrical and Electronics Engineers.

    Google Scholar 

  • Wright, M. B. (1987). The application of a surgical bed simulation model. European Journal of Operational Research, 32, 26–32.

    Google Scholar 

  • Zilm, F., Arch, D., & Hollis, R. B. (1983). An application of simulation modeling to surgical intensive care bed need analysis in a university hospital. Hospital & Health Services Administration, 28(5), 82–101.

    Google Scholar 

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Acknowledgements

The authors wish to thank Dr. R.W. Hall for his comments and feedback on an earlier draft of this chapter, resulting in a significantly improved final version. The first author has been supported in part by the National Science Foundation (DMI-0222597, DMI-0457176).

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  1. Department of Mechanical and Industrial Engineering, University of Illinois at Urbana-Champaign, 1206 West Green Street (MC-244), Urbana, IL, 61801-2906, USA

    Sheldon H. Jacobson & Shane N. Hall

  2. Mary Washington Hospital, 1001 Sam Perry Boulevard, Fredericksburg, VA, 22401, USA

    James R. Swisher

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  1. Sheldon H. Jacobson
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Correspondence to Sheldon H. Jacobson .

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    Randolph Hall

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Jacobson, S.H., Hall, S.N., Swisher, J.R. (2013). Discrete-Event Simulation of Health care Systems. In: Hall, R. (eds) Patient Flow. International Series in Operations Research & Management Science, vol 206. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-9512-3_12

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