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Efficient Model for Emergency Departments: Real Case Study

Mohamed Abdel-Basset1, Abduallah Gamal1, Rehab Mohamed1, Mohamed Abouhawwash2,3,*, Abdulwahab Almutairi4, Osama M. ELkomy1
1 Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519, Egypt
2 Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt
3 Department of Computational Mathematics, Science, and Engineering (CMSE), Michigan State University, East Lansing, MI, 48824, USA
4 School of Mathematics, Unaizah College of Sciences and Arts, Qassim University, 51452, Saudi Arabia
* Corresponding Author: Mohamed Abouhawwash. Email:

Computers, Materials & Continua 2022, 70(2), 4053-4073. https://doi.org/10.32604/cmc.2022.020048

Received 07 May 2021; Accepted 13 July 2021; Issue published 27 September 2021

Abstract

There are several challenges that hospitals are facing according to the emergency department (ED). The main two issues are department capacity and lead time. However, the lack of consensus on performance criteria to evaluate ED increases the complication of this process. Thus, this study aims to evaluate the efficiency of the emergency department in 20 Egyptian hospitals (12 private and 8 general hospitals) based on 13 performance metrics. This research suggests an integrated evaluation model assess ED under a framework of plithogenic theory. The proposed framework addressed uncertainty and ambiguity in information with an efficient manner via presenting the evaluation expression by plithogenic numbers. Data Envelopment Analysis (DEA) technique is used in order to measure the efficiency of the emergency department of 20 hospitals according to the number of treated patients and effect on patient's life quality based on 11 factors. Using the Analytic Hierarchy Process (AHP), the weight of efficiency factors will be measured based on neutrosophic linguistic scale pairwise comparison. Plithogenic operations provide more accurate aggregation result according to contradiction degree between criteria values. The results show that ten of the hospitals are providing efficient service in their emergency department, while the other ten are less efficient. The analysis of the results shows that 58% of private hospitals emergency department is operating efficiently, while the efficient general hospitals represent 38%.

Keywords

Emergency department; plithogenic set; data envelopment analysis; analytic hierarchy process

Cite This Article

M. Abdel-Basset, A. Gamal, R. Mohamed, M. Abouhawwash, A. Almutairi et al., "Efficient model for emergency departments: real case study," Computers, Materials & Continua, vol. 70, no.2, pp. 4053–4073, 2022.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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