Volume 21, Issue 73 (10-2018)
jha 2018, 21(73): 61-71 |
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Bahari A, Asadi F. Optimizing Emergency Resources Allocation: Simulation Based on Response-Surface Method. jha 2018; 21 (73) :61-71
URL: http://jha.iums.ac.ir/article-1-2678-en.html
URL: http://jha.iums.ac.ir/article-1-2678-en.html
1- University of Sistan and Baluchestan, Zahedan, Iran , arman_Bahari@aut.ac.ir
2- , Islamic Azad University, Zahedan, Iran.
2- , Islamic Azad University, Zahedan, Iran.
Abstract: (4352 Views)
Introduction: The present study aimed to explore the effective resources in the emergency department and present an optimal combination of these resources using the Meta-Modeling optimization approach to reduce the waiting times for patients visiting emergency department.
Methods: The research model was based on the Response Surface method and designed experiments. The dependent variable, the average waiting time for patients visiting emergency department, was made through the implementation of the created experiments of factor design in the simulated model. Patient data were collected from archived files from 3rd of April 2017 to 9th of September 2017.
Results: The results indicated that Community health workers and beds were significant in the estimate function of average waiting time for patients. Although the effects of other major variables (emergency secretary, nurses and cardiologists) were not statistically significant, they were deliberately used in this model to determine the optimal combination of these variables created by solving the problem.
Conclusion: Optimization of Patients waiting time in the emergency department was performed using simulation, Design of Experiment and Regression Meta-model. The reduction of waiting time and the expenditure in the emergency department caused by the optimal waiting time was, 49/6% and 51%, respectively.
Methods: The research model was based on the Response Surface method and designed experiments. The dependent variable, the average waiting time for patients visiting emergency department, was made through the implementation of the created experiments of factor design in the simulated model. Patient data were collected from archived files from 3rd of April 2017 to 9th of September 2017.
Results: The results indicated that Community health workers and beds were significant in the estimate function of average waiting time for patients. Although the effects of other major variables (emergency secretary, nurses and cardiologists) were not statistically significant, they were deliberately used in this model to determine the optimal combination of these variables created by solving the problem.
Conclusion: Optimization of Patients waiting time in the emergency department was performed using simulation, Design of Experiment and Regression Meta-model. The reduction of waiting time and the expenditure in the emergency department caused by the optimal waiting time was, 49/6% and 51%, respectively.
Keywords: Emergency, Simulation, Optimization, Simulation optimization model, Factor design
1., Corresponding Author (arman_Bahari@aut.ac.ir)
2.
Type of Study: Review |
Received: 2018/03/19 | Accepted: 2018/09/23 | Published: 2018/09/29
Received: 2018/03/19 | Accepted: 2018/09/23 | Published: 2018/09/29
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