A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit

BACKGROUND: Effective Decision Making on the resources of the ED plays a significant role in the performance of the department. Since wrong decisions can have irreparable consequences on the quality of services, the decision-makers should analyze and allocate the resources effectively. METHODS: The...

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Autores principales: Bahari, Arman, Asadi, Farzaneh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218783/
https://www.ncbi.nlm.nih.gov/pubmed/32489787
http://dx.doi.org/10.5334/gh.528
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author Bahari, Arman
Asadi, Farzaneh
author_facet Bahari, Arman
Asadi, Farzaneh
author_sort Bahari, Arman
collection PubMed
description BACKGROUND: Effective Decision Making on the resources of the ED plays a significant role in the performance of the department. Since wrong decisions can have irreparable consequences on the quality of services, the decision-makers should analyze and allocate the resources effectively. METHODS: The present study aimed to investigate the effective resources in the emergency department and provide an optimal combination of these resources based on the meta-modeling optimization approach to reduce the wait time for patients in the ED. RESULTS: The results demonstrated that the number of CHWs and beds played a significant role in the total average wait time for patients. Although the effect of other variables was not statistically significant, they were deliberately used in this study to determine the optimal combination of such variables by solving the problem. CONCLUSION: The findings of the present simulation-model approach provide hospital managers with valuable data in order to control and re-design the admission to discharge procedure in the emergency in order to enhance efficiency. By considering the budget, the new configuration of 2 Community Health Worker, 1 Receptionist, 1 nurses, 3 Cardiologist and 10 beds, with 142 minutes of a patient’s wait time shows 49.6% wait time improvement and a reduction of 51% in the cost of resource usage.
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spelling pubmed-72187832020-05-15 A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit Bahari, Arman Asadi, Farzaneh Glob Heart Letter to the Editor BACKGROUND: Effective Decision Making on the resources of the ED plays a significant role in the performance of the department. Since wrong decisions can have irreparable consequences on the quality of services, the decision-makers should analyze and allocate the resources effectively. METHODS: The present study aimed to investigate the effective resources in the emergency department and provide an optimal combination of these resources based on the meta-modeling optimization approach to reduce the wait time for patients in the ED. RESULTS: The results demonstrated that the number of CHWs and beds played a significant role in the total average wait time for patients. Although the effect of other variables was not statistically significant, they were deliberately used in this study to determine the optimal combination of such variables by solving the problem. CONCLUSION: The findings of the present simulation-model approach provide hospital managers with valuable data in order to control and re-design the admission to discharge procedure in the emergency in order to enhance efficiency. By considering the budget, the new configuration of 2 Community Health Worker, 1 Receptionist, 1 nurses, 3 Cardiologist and 10 beds, with 142 minutes of a patient’s wait time shows 49.6% wait time improvement and a reduction of 51% in the cost of resource usage. Ubiquity Press 2020-02-11 /pmc/articles/PMC7218783/ /pubmed/32489787 http://dx.doi.org/10.5334/gh.528 Text en Copyright: © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.
spellingShingle Letter to the Editor
Bahari, Arman
Asadi, Farzaneh
A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit
title A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit
title_full A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit
title_fullStr A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit
title_full_unstemmed A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit
title_short A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit
title_sort simulation optimization approach for resource allocation in an emergency department healthcare unit
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218783/
https://www.ncbi.nlm.nih.gov/pubmed/32489787
http://dx.doi.org/10.5334/gh.528
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