پیوندهای مفید
آمار
| تعداد نشریات | 8 |
| تعداد شماره‌ها | 419 |
| تعداد مقالات | 5,511 |
| تعداد مشاهده مقاله | 6,210,578 |
| تعداد دریافت فایل اصل مقاله | 5,405,422 |
Investigating and Analysis of Hospital Performance Using Discrete Event Simulation | ||
| AUT Journal of Modeling and Simulation | ||
| مقاله 6، دوره 52، شماره 2، اسفند 2020، صفحه 203-214 اصل مقاله (1.19 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/miscj.2020.17697.5195 | ||
| نویسندگان | ||
| Mehdi Abdollahi Kamran1؛ Behrooz Karimi* 2 | ||
| 1Department of Logistics, Tourism, and Service Management, Faculty of Business and Economics, German University of Technology (GUtech) | ||
| 2industrial engineering amirkabir | ||
| چکیده | ||
| The quality of providing health care services is one of the factors used to compare countries’ development, and hospitals account for a major share of this. In this study, the discrete event simulation is employed to measure the performance of a health care center in terms of various Key Performance Indicators (i.e., the number of patients admitted, time spending in the system, waiting time and resource utilization) and to improve capacity management. For this purpose, different parts of a hospital, from the entry of the patients to the exit door including Specialized Clinics, General Clinic, Emergency Department, Cashier Desk, and Pharmacy are considered from a comprehensive perspective. Arena Simulation software is applied as the platform for building the simulation model. Real hospital data is used to validate the proposed model. The collected real data are analyzed using Input analyzer tool available in Arena to fed up the simulation model with the required data, information, and structural and parametric assumptions of the system as inputs. In order to improve hospital performance in its key performance indicators, eight scenarios are proposed in comparison with the current situation. After running the scenarios, the results and impact of the proposed scenarios are discussed and compared with each other. | ||
| کلیدواژه‌ها | ||
| Health care center؛ Capacity management؛ discrete-event Simulation modeling؛ Key Performance Indicators | ||
| مراجع | ||
|
[1] Kamran, M.A., Karimi, B., Bakhtiari, H.R., & Masoumzadeh, S. (2016). A resource allocation model in a healthcare emergency center using goal programming, Journal of Engineering Research, 4(4), 81-97.
[2] Diyanatkhah, f., Shams, A., Riyazinia, S., & Zargari-Samani, D. (2007). Comparing Duration of Clinical and Para-clinical Services of Dr.Shariati Hospital 2004 with 2006 after editing. Hospital Executive Management.
[3] Villamizar, J., Coelli, F., Pereira, W., & Almeida, R. (2011 March). Discrete-event computer simulation methods in the optimisation of a physiotherapy clinic. Physiotherapy, 97(1), 71-77.
[4] McAleer, W.E., Turner, J.A., Lismor, D., Naqvi, I.A. (1995) "Simulation of a hospital′s theatre suite", Journal of Management in Medicine, 9(5), 14-26, https://doi.org/10.1108/02689239510096785.
[5] Kirtland, A., & et al. (1995). Simulating an Emergency Department "is as much fun as...", Proceedings of the 1995 Winter Simulation Conference (pp. 1039-1042). Arlington, Virginia.
[6] Aharonson‐Daniel, L., Fung, H., Hedley, A.J. (1996) "Time studies in A&E departments ‐ a useful tool for management", Journal of Management in Medicine, 10(3), 15-22, https://doi.org/10.1108/02689239610122270.
[7] Evans, G., Unger, E., & Gor, T. (1996). Simulation Model Evaluating Personnel Schedules in a Hospital Emergency Department. Proceedings of the 28th Conference on Winter Simulation, (p. 1995). Washington.
[8] Saunders, CE., Makens, PK., Leblanc, LJ. (1989). Modeling Emergency Department Operations Using Advanced Computer Simulation Systems. Annals of Emergency Medicine, 18(2), 134-140.
[9] Komashie, A., & Mousavi, A. (2005). Modeling Emergency Departments Using Discrete event simulation techniques. Proceedings of the 17th Conference on Winter Simulation. Orland, California.
[10] Duguay, C., & Chetouane, F. (2007). Modeling and Improving Emergency Department System Using Discrete Event Simulation. International Journal of Systematic and Evolutionary Microbiology, 83(4), 311-320.
[11] Aeinparast, A., Tabibi, S., Shahanaghi, K., & Aryanejhad, M. (2009). Estimating outpatient waiting time: a simulation approach. payesh, 32(4), 327-333.
[12] Brenner, S., Zeng, Z., Lui, Y., Wang, J., Li, J., & Howard, P. (2010). Modeling and Analysis of the Emergency Department at University of Kentucky Chandler Hospital Using Simulations. Journal of Emergency Nursing, 36(4), 303-310.
[13] Kozlowski, D., Mogensen, C., & Petersen, N. (2012). Discrete event simulation modelling for an improved patient flow at the Emergency Department, Sygehus Lillebælt, Kolding. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine, 14.
[14] Maleki, A., Sajadi, S., & Rezaee Khaboushan, B. (2014). Explanation and Improvement Performance Indicators of the Emergency System Using Discrete Event Simulation (Case Study: Arak Imam Khomeini Hospital). Health Information Management, 11(1), 16.
[15] Zeinali, F., Mahootchi, M., Sepehri, MM. (2015). Resource planning in the emergency departments: A simulation-based metamodeling approach. Simulation Modelling Practice and Theory, 53, 123-138.
[16] Ben-Tovim, D., Filar, J., Hakendorf, P., Qin, S., Thompson, C., Ward, D. (2016). Hospital Event Simulation Model: Arrivals to Discharge – Design, Development and Application. Journal of Simulation Modelling Practice and Theory, 68(11), 80 -94.
[17] Qin, S., Thompson, C., Bogomolov, T., Ward, D., Hakendorf, P. (2017). Hospital occupancy and discharge strategies - a simulation based study. Internal Medicine Journal, 47(8), 894-899. | ||
|
آمار تعداد مشاهده مقاله: 708 تعداد دریافت فایل اصل مقاله: 406 |
||