903
Views
20
CrossRef citations to date
0
Altmetric
Articles

A new medical staff allocation via simulation optimisation for an emergency department in Hong Kong

ORCID Icon, &
Pages 6004-6023 | Received 26 Sep 2018, Accepted 02 Sep 2019, Published online: 16 Sep 2019

References

  • Ahmed, Mohamed A., and Talal M. Alkhamis. 2009. “Simulation Optimization for An Emergency Department Healthcare Unit in Kuwait.” European Journal of Operational Research 198 (3): 936–942.
  • Andradttir, Sigrún, and Seong-Hee Kim. 2010. “Fully Sequential Procedures for Comparing Constrained Systems Via Simulation.” Naval Research Logistics (NRL) 57 (5): 403–421.
  • Batur, Demet, and Seong-Hee Kim. 2005. “Procedures for Feasibility Detection in the Presence of Multiple Constraints.” In Proceedings of the 37th Conference on Winter Simulation, 692–698. Winter Simulation Conference.
  • Di Somma, Salvatore, Lorenzo Paladino, Louella Vaughan, Irene Lalle, Laura Magrini, and Massimo Magnanti. 2015. “Overcrowding in Emergency Department: An International Issue.” Internal and Emergency Medicine 10 (2): 171–175.
  • Feng, Yen-Yi, I-Chin Wu, and Tzu-Li Chen. 2017. “Stochastic Resource Allocation in Emergency Departments with a Multi-objective Simulation Optimization Algorithm.” Health Care Management Science 20 (1): 55–75.
  • Gao, Siyang, and Weiwei Chen. 2016. “Efficient Feasibility Determination with Multiple Performance Measure Constraints.” IEEE Transactions on Automatic Control 62 (1): 113–122.
  • Gao, Fei, Siyang Gao, Hui Xiao, and Zhongshun Shi. 2018. “Advancing Constrained Ranking and Selection with Regression in Partitioned Domains.” IEEE Transactions on Automation Science and Engineering 16 (1): 382–391.
  • Green, Linda V., Joao Soares, James F. Giglio, and Robert A. Green. 2006. “Using Queueing Theory to Increase the Effectiveness of Emergency Department Provider Staffing.” Academic Emergency Medicine 13 (1): 61–68.
  • Guo, Hainan, Siyang Gao, Kwok-Leung Tsui, and Tie Niu. 2017. “Simulation Optimization for Medical Staff Configuration At Emergency Department in Hong Kong.” IEEE Transactions on Automation Science and Engineering 14 (4): 1655–1665.
  • Guo, Hainan, David Goldsman, Kwok-Leung Tsui, Yu Zhou, and Shui-Yee Wong. 2016. “Using Simulation and Optimisation to Characterise Durations of Emergency Department Service Times with Incomplete Data.” International Journal of Production Research 54 (21): 6494–6511.
  • Ho, Shinn-Jang, Shinn-Ying Ho, and Li-Sun Shu. 2004. “OSA: Orthogonal Simulated Annealing Algorithm and Its Application to Designing Mixed H2/H∞ Optimal Controllers.” IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans 34 (5): 588–600.
  • Hong, L. Jeff, and Barry L. Nelson. 2006. “Discrete Optimization Via Simulation Using COMPASS.” Operations Research 54 (1): 115–129.
  • Hong Kong Hospital Authority. 2018. [Online]. Available: http://www.ha.org.hk/visitor/ha_visitor_index.asp?Content_ID=10051&Lang=ENG&Dimension=100&Ver=HTML.
  • Hoot, Nathan R., and Dominik Aronsky. 2008. “Systematic Review of Emergency Department Crowding: Causes, Effects, and Solutions.” Annals of Emergency Medicine 52 (2): 126–136.
  • Horwitz, Leora I., Jeremy Green, and Elizabeth H. Bradley. 2010. “US Emergency Department Performance on Wait Time and Length of Visit.” Annals of Emergency Medicine 55 (2): 133–141.
  • Hwang, Ula, Melissa L. McCarthy, Dominik Aronsky, Brent Asplin, Peter W. Crane, Catherine K. Craven, Stephen K. Epstein, et al. 2011. “Measures of Crowding in the Emergency Department: A Systematic Review.” Academic Emergency Medicine 18 (5): 527–538.
  • Kirkpatrick, Scott, C. Daniel Gelatt, and Mario P. Vecchi. 1983. “Optimization by Simulated Annealing.” Science 220 (4598): 671–680.
  • Kleijnen, Jack P. C., Wim Van Beers, and Inneke Van Nieuwenhuyse. 2010. “Constrained Optimization in Expensive Simulation: Novel Approach.” European Journal of Operational Research 202 (1): 164–174.
  • Lee, Loo Hay, Nugroho Artadi Pujowidianto, Ling-Wei Li, Chun-Hung Chen, and Chee Meng Yap. 2012. “Approximate Simulation Budget Allocation for Selecting the Best Design in the Presence of Stochastic Constraints.” IEEE Transactions on Automatic Control 57 (11): 2940–2945.
  • Li, Jie, Alexandre Sava, and Xiaolan Xie. 2009. “Simulation-based Discrete Optimization of Stochastic Discrete Event Systems Subject to Non Closed-form Constraints.” IEEE Transactions on Automatic Control 54 (12): 2900–2904.
  • Luo, Yao, and Eunji Lim. 2013. “Simulation-based Optimization Over Discrete Sets with Noisy Constraints.” IIE Transactions 45 (7): 699–715.
  • Metropolis, Nicholas, Arianna W. Rosenbluth, Marshall N. Rosenbluth, Augusta H. Teller, and Edward Teller. 1953. “Equation of State Calculations by Fast Computing Machines.” The Journal of Chemical Physics 21 (6): 1087–1092.
  • Mohammad Nezhad, Ali, and Hashem Mahlooji. 2014. “An Artificial Neural Network Meta-model for Constrained Simulation Optimization.” Journal of the Operational Research Society 65 (8): 1232–1244.
  • Park, Chuljin, and Seong-Hee Kim. 2015. “Penalty Function with Memory for Discrete Optimization Via Simulation with Stochastic Constraints.” Operations Research 63 (5): 1195–1212.
  • Park, Chuljin, Ilker T. Telci, Seong-Hee Kim, and Mustafa M. Aral. 2014. “Designing An Optimal Water Quality Monitoring Network for River Systems Using Constrained Discrete Optimization Via Simulation.” Engineering Optimization 46 (1): 107–129.
  • Pujowidianto, Nugroho A., Loo Hay Lee, and Chun-Hung Chen. 2013. “Minimizing Opportunity Cost in Selecting the Best Feasible Design.” Proceedings of the 2013 Winter Simulation Conference, Washington, DC, USA, 898–907.
  • Pujowidianto, Nugroho A., Loo Hay Lee, Giulia Pedrielli, Chun-Hung Chen, and Haobin Li. 2016. “Constrained Optimization for Hospital Bed Allocation via Discrete Event Simulation with Nested Partitions.” Proceedings of the 2016 Winter Simulation Conference, Arlington, Virginia, USA, 1916–1925.
  • Qiu, Yunzhe, Jie Song, and Zekun Liu. 2016. “A Simulation Optimisation on the Hierarchical Health Care Delivery System Patient Flow Based on Multi-fidelity Models.” International Journal of Production Research 54 (21): 6478–6493.
  • Shi, Pengyi, Mabel C. Chou, J. G. Dai, Ding Ding, and Joe Sim. 2016. “Models and Insights for Hospital Inpatient Operations: Time-dependent ED Boarding Time.” Management Science 62 (1): 1–28.
  • Shi, Leyuan, and Sigurdur Ólafsson. 2000. “Nested Partitions Method for Global Optimization.” Operations Research 48 (3): 390–407.
  • Sinreich, David, Ola Jabali, and Nico P. Dellaert. 2012. “Reducing Emergency Department Waiting Times by Adjusting Work Shifts Considering Patient Visits to Multiple Care Providers.” IIE Transactions 44 (3): 163–180.
  • Tanabe, Paula, Rick Gimbel, Paul R. Yarnold, and James G. Adams. 2004. “The Emergency Severity Index (version 3) 5-level Triage System Scores Predict ED Resource Consumption.” Journal of Emergency Nursing 30 (1): 22–29.
  • Tsai, Shing Chih, and Yang Fu Sheng. 2014. “Genetic-algorithm-based Simulation Optimization Considering a Single Stochastic Constraint.” European Journal of Operational Research 236 (1): 113–125.
  • Xie, Xiaolan, and Mark A. Lawley. 2015. “Operations Research in Healthcare.” International Journal of Production Research 53 (24): 7173–7176.
  • Xu, Jie, Barry L. Nelson, and Jeff Hong. 2010. “Industrial Strength COMPASS: A Comprehensive Algorithm and Software for Optimization Via Simulation.” ACM Transactions on Modeling and Computer Simulation (TOMACS) 20 (1): 3.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.