Estimating emergency department maximum capacity using simulation and data envelopment analysis

Wan Mohd Aminuddin, Wan Malissa and Ismail, Wan Rosmanira and Harunarashid, Husyairi (2016) Estimating emergency department maximum capacity using simulation and data envelopment analysis. Indian Journal of Science and Technology, 9 (28). pp. 1-10. ISSN 0974-6846 E-ISSN 0974-5645

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Abstract

Recently, the number of Emergency Department visits in UKM Medical Centre has increased rapidly. This has encouraged several healthcare problems occur in the emergency department such as overcrowding. A study was conducted to estimate the maximum possible demand that able to serve by the emergency department with current number of resources. Discrete Event Simulation method was applied to model the Emergency Department system. The model was used to study the behavior of waiting time of the emergency department visits and predict the maximum demand. Finally, combination of Data Envelopment Analysis methods (BCC input-oriented and Super-efficiency-BCC) was used in order to determine the new configuration of number of resources (doctor and nurse) required to maintain their efficient services. Results assume that the Emergency Department capable to accommodate 230 patients per day with an additional doctor to Yellow Zone Treatment Area and new schedule time for Green Zone doctors.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Data Envelopment Analysis, Discrete Event Simulation, Emergency Department Overcrowding, Healthcare Modelling
Subjects:	Q Science > QA Mathematics R Medicine > RZ Other systems of medicine
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Science Kulliyyah of Science > Department of Computational and Theoretical Sciences
Depositing User:	Dr Wan Malissa Wan Mohd Aminuddin
Date Deposited:	28 Jul 2022 09:52
Last Modified:	28 Jul 2022 09:54
URI:	http://irep.iium.edu.my/id/eprint/98947

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