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Simulation-based framework to improve patient experience in an emergency department

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  • Abo-Hamad, Waleed
  • Arisha, Amr

Abstract

The global economic crisis has a significant impact on healthcare resource provision worldwide. The management of limited healthcare resources is further challenged by the high level of uncertainty in demand, which can lead to unbalanced utilization of the available resources and a potential deterioration of patient satisfaction in terms of longer waiting times and perceived reduced quality of services. Therefore, healthcare managers require timely and accurate tools to optimize resource utility in a complex and ever-changing patient care process. An interactive simulation-based decision support framework is presented in this paper for healthcare process improvement. Complexity and different levels of variability within the process are incorporated into the process modeling phase, followed by developing a simulation model to examine the impact of potential alternatives. As a performance management tool, balanced scorecard (BSC) is incorporated within the framework to support continual and sustainable improvement by using strategic-linked performance measures and actions. These actions are evaluated by the simulation model developed, whilst the trade-off between objectives, though somewhat conflicting, is analysed by a preference model. The preference model is designed in an interactive and iterative process considering decision makers preferences regarding the selected key performance indicators (KPIs). A detailed implementation of the framework is demonstrated on an emergency department (ED) of an adult teaching hospital in north Dublin, Ireland. The results show that the unblocking of ED outflows by in-patient bed management is more effective than increasing only the ED physical capacity or the ED workforce.

Suggested Citation

  • Abo-Hamad, Waleed & Arisha, Amr, 2013. "Simulation-based framework to improve patient experience in an emergency department," European Journal of Operational Research, Elsevier, vol. 224(1), pages 154-166.
  • Handle: RePEc:eee:ejores:v:224:y:2013:i:1:p:154-166
    DOI: 10.1016/j.ejor.2012.07.028
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    7. Michael Thorwarth & Wael Rashwan & Amr Arisha, 2016. "An analytical representation of flexible resource allocation in hospitals," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 148-165, June.
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    9. Yong-Hong Kuo & Omar Rado & Benedetta Lupia & Janny M. Y. Leung & Colin A. Graham, 2016. "Improving the efficiency of a hospital emergency department: a simulation study with indirectly imputed service-time distributions," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 120-147, June.
    10. Sebastian Rachuba & Andrew Salmon & Zhivko Zhelev & Martin Pitt, 2018. "Redesigning the diagnostic pathway for chest pain patients in emergency departments," Health Care Management Science, Springer, vol. 21(2), pages 177-191, June.
    11. Daniel Asuquo & Imeh Umoren & Francis Osang & Kingsley Attai, 2023. "A Machine Learning Framework for Length of Stay Minimization in Healthcare Emergency Department," Studies in Engineering and Technology, Redfame publishing, vol. 10(1), pages 117-117, December.
    12. Niyirora, Jerome & Zhuang, Jun, 2017. "Fluid approximations and control of queues in emergency departments," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1110-1124.
    13. Tsai, Shing Chih & Fu, Sheng Yang, 2014. "Genetic-algorithm-based simulation optimization considering a single stochastic constraint," European Journal of Operational Research, Elsevier, vol. 236(1), pages 113-125.
    14. Li, Na & Zhang, Yue & Teng, De & Kong, Nan, 2021. "Pareto optimization for control agreement in patient referral coordination," Omega, Elsevier, vol. 101(C).
    15. Lien Vanbrabant & Kris Braekers & Katrien Ramaekers, 2021. "Improving emergency department performance by revising the patient–physician assignment process," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 783-845, September.
    16. Imran Ali & Devika Kannan, 2022. "Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review," Annals of Operations Research, Springer, vol. 315(1), pages 29-55, August.
    17. Willoughby, Keith A. & Chan, Benjamin T.B. & Marques, Shauna, 2016. "Using simulation to test ideas for improving speech language pathology services," European Journal of Operational Research, Elsevier, vol. 252(2), pages 657-664.
    18. Rashwan, Wael & Abo-Hamad, Waleed & Arisha, Amr, 2015. "A system dynamics view of the acute bed blockage problem in the Irish healthcare system," European Journal of Operational Research, Elsevier, vol. 247(1), pages 276-293.
    19. Masoumeh Vali & Khodakaram Salimifard & Amir H. Gandomi & Thierry J. Chaussalet, 2022. "Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining," Annals of Operations Research, Springer, vol. 318(1), pages 685-712, November.
    20. David Oakley & Bhakti Stephan Onggo & Dave Worthington, 2020. "Symbiotic simulation for the operational management of inpatient beds: model development and validation using Δ-method," Health Care Management Science, Springer, vol. 23(1), pages 153-169, March.
    21. Glasgow, Simon M. & Perkins, Zane B. & Tai, Nigel R.M. & Brohi, Karim & Vasilakis, Christos, 2018. "Development of a discrete event simulation model for evaluating strategies of red blood cell provision following mass casualty events," European Journal of Operational Research, Elsevier, vol. 270(1), pages 362-374.
    22. Miguel Angel Ortíz-Barrios & Juan-José Alfaro-Saíz, 2020. "Methodological Approaches to Support Process Improvement in Emergency Departments: A Systematic Review," IJERPH, MDPI, vol. 17(8), pages 1-41, April.
    23. Hainan Guo & David Goldsman & Kwok-Leung Tsui & Yu Zhou & Shui-Yee Wong, 2016. "Using simulation and optimisation to characterise durations of emergency department service times with incomplete data," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6494-6511, November.
    24. Golmohammadi, Davood, 2016. "Predicting hospital admissions to reduce emergency department boarding," International Journal of Production Economics, Elsevier, vol. 182(C), pages 535-544.
    25. Muhammet Gul & Erkan Celik & Alev Taskin Gumus & Ali Fuat Guneri, 2016. "Emergency department performance evaluation by an integrated simulation and interval type-2 fuzzy MCDM-based scenario analysis," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(2), pages 196-223.

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