Design of hospital admissions scheduling system using simulation

ABSTRACT

The ultimate objective of the research reported herein is to design an admissions scheduling system which can control hospital occupancy. This paper reports on the initial phase, of the research--demonstrating the technical feasibility of developing a simulation model of patient arrivals to and discharges from a hospital, which can be used to design the scheduling system. The specific steps that were accomplished for demonstrating technical feasibility of model development were: (1) develop a hospital simulation model, which can be used for designing the scheduling system; (2) validate the simulation model in two test hospitals; and (3) use the model to design an improved scheduling system which reduces the variability in daily census.

REFERENCES

• 1: Banks J, Carson JS. Discrete Event System Simulation. Englewood Cliffs, NJ: Prentice-Hall, inc., 1984.
• 2: Buffer TW, Reeves GR, Karwan KR, Sweigart JR. Assessing the impact of patient care policies using simulation analysis. Journal of the Society for Health Systems 1992;3(3):38-53.
• 3: Griffith JR, Hancock WM, Munson FC, Practical ways to contain hospital costs. Harvard Business Review 1973;51(6):131-139.
• 4: Hamilton R, Hancock W, Hawley K. The Admissions Scheduling and Control System: The Admissions Simulator. Report 75-1, Bureau of Hospital Administration, The University of Michigan, February 1975.
• 5: Hancock WM, Walter PF. The ASCS Admission Scheduling and Control System. Ann Arbor. MI: Health Administration Press, 1983.
• 6: Hancock WM, Warner DM, Heda S, Fuhs P. Admission scheduling and control systems. In: Griffith JR et al., ed. Cost Control in Hospitals. Ann Arbor, MI: Health Administration Press, 1976.
• 7: Henriksen JO, Crain RC. GPSS/H Reference Manual. Annandale, VA: Wolverine Sottware Corporation, 1993.
• 8: Jeang A. Inpatient admission system model using SIMAN sottware. Journal of Medical Systems 1990;14(6):365-374.
• 9: Johnston C, Hancock W, Steiger D. The First Three Months of Implementation of the Admission Scheduling and Control System in Delta Hospital. Report 75-9, Bureau of Hospital Administration, The University of Michigan, November 1975.
• 10: Averill M. Law , W. David Kelton, Simulation Modeling and Analysis, McGraw-Hill Higher Education, 1997
• 11: Martin JB, Dahlstrom GA, Johnston CM. Impact of administrative technology on acute care be~ need. Health Services Research 1985;20(1):63-81.
• 12: Redelmeier DA, Fuchs VR. Hospital expenditures in the United States and Canada. New England Journal of Medicine 1993;328(11):772-778.
• 13: Robinson GH, Wing P, Davis LE. Computer simulation of hospital patient scheduling systems. Health Services Research 1968;3(2): 130-141.
• 14: Robert G. Sargent, Verification and validation of simulation models, Proceedings of the 26th conference on Winter simulation, p.77-87, December 11-14, 1994, Orlando, Florida, United States
• 15: Robert E. Shannon, Introduction to simulation, Proceedings of the 24th conference on Winter simulation, p.65-73, December 13-16, 1992, Arlington, Virginia, United States [doi>10.1145/167293.167302]
• 16: Yannitelli P, Hancock W. implementation of the ASCS into Charles Hospital. Report 75-3, Bureau of Hospital Administration, The University of Michigan, June 1975.