An Integrated Approach of Discrete Event Simulation and a Non-Radial Super Efficiency Data Envelopment Analysis for Performance Evaluation of an Emergency Department
An emergency department (ED) has been considered as one of the most congested department in a hospital. The congestion is typically contributed by long waiting time to get medical service, primarily caused by insufficient resource allocation or improper resource configurations. However, how various...
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| Format: | Article |
| Language: | English |
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Elsevier Ltd.
2023
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| Online Access: | https://repo.uum.edu.my/id/eprint/31005/1/ESWA%20220%20119653%202023%2001-18.pdf https://doi.org/10.1016/j.eswa.2023.119653 |
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| author | Taleb, Mushtaq Khalid, Ruzelan Ramli, Razamin Mohd Nawawi, Mohd Kamal |
| author_facet | Taleb, Mushtaq Khalid, Ruzelan Ramli, Razamin Mohd Nawawi, Mohd Kamal |
| author_sort | Taleb, Mushtaq |
| collection | UUM |
| description | An emergency department (ED) has been considered as one of the most congested department in a hospital. The congestion is typically contributed by long waiting time to get medical service, primarily caused by insufficient resource allocation or improper resource configurations. However, how various resource allocation configurations affect ED performance and how their efficiency can correctly be evaluated, using an integrated approach is rarely discussed. This paper thus integrates discrete event simulation (DES) and data envelopment analysis (DEA) to measure ED performance and evaluate the efficiency of potential resource allocation configurations for future performance improvement. For this, a DES model for an ED is first designed and developed. Its performance improvement is then tested using 35 potential resource allocation configurations, and their impacts on the performance are measured. To evaluate their efficiency and identify the optimal configuration, a mixed integer super efficiency of slacks-based measure data envelopment analysis (SE-SBM-DEA) approach dealing with undesirable outputs is proposed. The model utilizes resource allocation as inputs and simulation performance measures as outputs. All inputs were considered as integer, while the outputs were classified into desirable and undesirable in mixed integer-valued data. The desirable real outputs are the utilization of receptionists, nurses and doctors. The undesirable real outputs are the average of patient cycle time and time spent in queues, while the undesirable integer output is average number of patients in queues. The desirable integer output is average number of patients received treatment. The results obtained from the DEA approach show that 21 efficient resource configurations have the capability to increase their inputs, undesirable outputs and/or decrease desirable outputs simultaneously without affecting their efficiency status. The integrated approach helps decision makers manage their healthcare facilities by identifying the sources of inefficiency and (the maximum levels of inputs-undesirable outputs and minimum levels of desirable outputs) to improve and (retain) efficiency |
| first_indexed | 2024-07-04T06:47:02Z |
| format | Article |
| id | uum-31005 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:47:02Z |
| publishDate | 2023 |
| publisher | Elsevier Ltd. |
| record_format | eprints |
| spelling | uum-310052024-07-04T03:39:00Z https://repo.uum.edu.my/id/eprint/31005/ An Integrated Approach of Discrete Event Simulation and a Non-Radial Super Efficiency Data Envelopment Analysis for Performance Evaluation of an Emergency Department Taleb, Mushtaq Khalid, Ruzelan Ramli, Razamin Mohd Nawawi, Mohd Kamal QA Mathematics An emergency department (ED) has been considered as one of the most congested department in a hospital. The congestion is typically contributed by long waiting time to get medical service, primarily caused by insufficient resource allocation or improper resource configurations. However, how various resource allocation configurations affect ED performance and how their efficiency can correctly be evaluated, using an integrated approach is rarely discussed. This paper thus integrates discrete event simulation (DES) and data envelopment analysis (DEA) to measure ED performance and evaluate the efficiency of potential resource allocation configurations for future performance improvement. For this, a DES model for an ED is first designed and developed. Its performance improvement is then tested using 35 potential resource allocation configurations, and their impacts on the performance are measured. To evaluate their efficiency and identify the optimal configuration, a mixed integer super efficiency of slacks-based measure data envelopment analysis (SE-SBM-DEA) approach dealing with undesirable outputs is proposed. The model utilizes resource allocation as inputs and simulation performance measures as outputs. All inputs were considered as integer, while the outputs were classified into desirable and undesirable in mixed integer-valued data. The desirable real outputs are the utilization of receptionists, nurses and doctors. The undesirable real outputs are the average of patient cycle time and time spent in queues, while the undesirable integer output is average number of patients in queues. The desirable integer output is average number of patients received treatment. The results obtained from the DEA approach show that 21 efficient resource configurations have the capability to increase their inputs, undesirable outputs and/or decrease desirable outputs simultaneously without affecting their efficiency status. The integrated approach helps decision makers manage their healthcare facilities by identifying the sources of inefficiency and (the maximum levels of inputs-undesirable outputs and minimum levels of desirable outputs) to improve and (retain) efficiency Elsevier Ltd. 2023 Article PeerReviewed application/pdf en cc4_by https://repo.uum.edu.my/id/eprint/31005/1/ESWA%20220%20119653%202023%2001-18.pdf Taleb, Mushtaq and Khalid, Ruzelan and Ramli, Razamin and Mohd Nawawi, Mohd Kamal (2023) An Integrated Approach of Discrete Event Simulation and a Non-Radial Super Efficiency Data Envelopment Analysis for Performance Evaluation of an Emergency Department. Expert Systems with Applications, 220 (119653). pp. 1-18. ISSN 0957-4174 https://www.sciencedirect.com/science/article/pii/S0957417423001549?via%3Dihub https://doi.org/10.1016/j.eswa.2023.119653 https://doi.org/10.1016/j.eswa.2023.119653 |
| spellingShingle | QA Mathematics Taleb, Mushtaq Khalid, Ruzelan Ramli, Razamin Mohd Nawawi, Mohd Kamal An Integrated Approach of Discrete Event Simulation and a Non-Radial Super Efficiency Data Envelopment Analysis for Performance Evaluation of an Emergency Department |
| title | An Integrated Approach of Discrete Event Simulation and a Non-Radial Super Efficiency Data Envelopment Analysis for Performance Evaluation of an Emergency Department |
| title_full | An Integrated Approach of Discrete Event Simulation and a Non-Radial Super Efficiency Data Envelopment Analysis for Performance Evaluation of an Emergency Department |
| title_fullStr | An Integrated Approach of Discrete Event Simulation and a Non-Radial Super Efficiency Data Envelopment Analysis for Performance Evaluation of an Emergency Department |
| title_full_unstemmed | An Integrated Approach of Discrete Event Simulation and a Non-Radial Super Efficiency Data Envelopment Analysis for Performance Evaluation of an Emergency Department |
| title_short | An Integrated Approach of Discrete Event Simulation and a Non-Radial Super Efficiency Data Envelopment Analysis for Performance Evaluation of an Emergency Department |
| title_sort | integrated approach of discrete event simulation and a non radial super efficiency data envelopment analysis for performance evaluation of an emergency department |
| topic | QA Mathematics |
| url | https://repo.uum.edu.my/id/eprint/31005/1/ESWA%20220%20119653%202023%2001-18.pdf https://doi.org/10.1016/j.eswa.2023.119653 |
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