Application of Simulation and Response Surface to Optimize Hospital Resources
This paper presents a case study that uses processoriented
simulation to identify bottlenecks in the service delivery
system in an emergency department of a hospital in the United Arab
Emirates. Using results of the simulation, response surface models
were developed to explain patient waiting time and the total time
patients spend in the hospital system. Results of the study could be
used as a service improvement tool to help hospital management in
improving patient throughput and service quality in the hospital
system.
[1] B. Cardeon, and E. Demeulemeester, "Capacity of clinical pathways: a
strategic multi-level evaluation tool," Journal of Medical Systems, vol.
32, pp. 443- 452, 2008.
[2] P. Dey, and S. Hariharan, "Integrated approach to healthcare quality
management: a case study," The TQM Magazine, vol. 18, no. 6, pp.
583-597, 2006.
[3] J. Everett, "A decision support simulation model for the management of
an elective surgery waiting system," Health Care Management Science,
vol. 5, no. 2, pp. 89-95, 2002.
[4] J. Fitzgerald, and A. Dadich, "Using visual analytics to improve
hospital scheduling and patient flow," Journal of Theoretical and
Applied Electronic Commerce Research, vol. 4, no. 2, pp. 20-30, 2009.
[5] N. Fleischner, R. Gershwin, and L. Dick, " Improving observation status
in a hospital" Physician Executive, vol. 36, no. 2, pp. 34-37, 2010.
[6] L. Green, P. Kolesar, and W. Whitt, "Coping with time-varying
demand when setting staffing requirements for a service system,"
Production and Operations Management, vol. 16, no. 1, pp. 13-49.
2007.
[7] A. Jamal, and K. Anastasiadou, "Investing the effects of service quality
dimensions and expertise on loyalty," European Journal of Marketing,
vol. 43, no. 3/4, pp. 398-420, 2010.
[8] L. Jiang, L., and R. Giachetti, "A queueing network model to analyze
the impact of parallelization of care on patient cycle time," Health Care
Management Science, vol. 11, pp. 248-261, 2008.
[9] D. Mukamel, L. Glance, A. Dick, and O. Turner, "Measuring quality
for product reporting of health provider quality: Making it meaningful to
patients." American Journal of Public Health, vol. 100, no. 2, pp. 264-
269, 2010.
[10] C. Teng, Y. Dai, Y. Shyu, M. Wong, T. Chu, T, and Y. Tsai,
"Professional commitment, patient safety, and patient-perceived care
quality," Journal of Nursing Scholarship, vol. 41, no. 3, pp. 301-309,
2008.
[11] C. Wang, Y. Lee, and W. Lin, "Application of queuing model in
healthcare administration with incorporation of human factors,"Journal
of American Academy of Business, vol. 8, no. 1, pp. 304-310, 2006.
[12] J. Yeh, and W. Lin, (2007). Using simulation technique and genetic
algorithm to improve the quality care of a hospital emergency
department," Expert Systems with Applications, vol. 32, no. 4, pp. 1073-
1083, 2007.
[1] B. Cardeon, and E. Demeulemeester, "Capacity of clinical pathways: a
strategic multi-level evaluation tool," Journal of Medical Systems, vol.
32, pp. 443- 452, 2008.
[2] P. Dey, and S. Hariharan, "Integrated approach to healthcare quality
management: a case study," The TQM Magazine, vol. 18, no. 6, pp.
583-597, 2006.
[3] J. Everett, "A decision support simulation model for the management of
an elective surgery waiting system," Health Care Management Science,
vol. 5, no. 2, pp. 89-95, 2002.
[4] J. Fitzgerald, and A. Dadich, "Using visual analytics to improve
hospital scheduling and patient flow," Journal of Theoretical and
Applied Electronic Commerce Research, vol. 4, no. 2, pp. 20-30, 2009.
[5] N. Fleischner, R. Gershwin, and L. Dick, " Improving observation status
in a hospital" Physician Executive, vol. 36, no. 2, pp. 34-37, 2010.
[6] L. Green, P. Kolesar, and W. Whitt, "Coping with time-varying
demand when setting staffing requirements for a service system,"
Production and Operations Management, vol. 16, no. 1, pp. 13-49.
2007.
[7] A. Jamal, and K. Anastasiadou, "Investing the effects of service quality
dimensions and expertise on loyalty," European Journal of Marketing,
vol. 43, no. 3/4, pp. 398-420, 2010.
[8] L. Jiang, L., and R. Giachetti, "A queueing network model to analyze
the impact of parallelization of care on patient cycle time," Health Care
Management Science, vol. 11, pp. 248-261, 2008.
[9] D. Mukamel, L. Glance, A. Dick, and O. Turner, "Measuring quality
for product reporting of health provider quality: Making it meaningful to
patients." American Journal of Public Health, vol. 100, no. 2, pp. 264-
269, 2010.
[10] C. Teng, Y. Dai, Y. Shyu, M. Wong, T. Chu, T, and Y. Tsai,
"Professional commitment, patient safety, and patient-perceived care
quality," Journal of Nursing Scholarship, vol. 41, no. 3, pp. 301-309,
2008.
[11] C. Wang, Y. Lee, and W. Lin, "Application of queuing model in
healthcare administration with incorporation of human factors,"Journal
of American Academy of Business, vol. 8, no. 1, pp. 304-310, 2006.
[12] J. Yeh, and W. Lin, (2007). Using simulation technique and genetic
algorithm to improve the quality care of a hospital emergency
department," Expert Systems with Applications, vol. 32, no. 4, pp. 1073-
1083, 2007.
@article{"International Journal of Engineering, Mathematical and Physical Sciences:64602", author = "Shamsuddin Ahmed and Francis Amagoh", title = "Application of Simulation and Response Surface to Optimize Hospital Resources", abstract = "This paper presents a case study that uses processoriented
simulation to identify bottlenecks in the service delivery
system in an emergency department of a hospital in the United Arab
Emirates. Using results of the simulation, response surface models
were developed to explain patient waiting time and the total time
patients spend in the hospital system. Results of the study could be
used as a service improvement tool to help hospital management in
improving patient throughput and service quality in the hospital
system.", keywords = "Simulation, Hospital Service, Resource Utilization,United Arab Emirates.", volume = "4", number = "6", pages = "746-5", }
