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Reorganization of an Emergency Medical System in a Mixed Urban-Rural Area
The reorganization of an emergency medical system means that we look for new locations of ambulance stations with the aim of improving the accessibility of the service. We applied two tools that are well known in the operations research community, namely mathematical programming, and computer simula...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9564519/ https://www.ncbi.nlm.nih.gov/pubmed/36231668 http://dx.doi.org/10.3390/ijerph191912369 |
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author | Jánošíková, L’udmila Jankovič, Peter Kvet, Marek Ivanov, Gaston Holod, Jakub Berta, Imrich |
author_facet | Jánošíková, L’udmila Jankovič, Peter Kvet, Marek Ivanov, Gaston Holod, Jakub Berta, Imrich |
author_sort | Jánošíková, L’udmila |
collection | PubMed |
description | The reorganization of an emergency medical system means that we look for new locations of ambulance stations with the aim of improving the accessibility of the service. We applied two tools that are well known in the operations research community, namely mathematical programming, and computer simulation. Using the hierarchical pq-median model, we proposed optimal locations of the stations throughout the country and within large towns. Several solutions have been calculated that differ in the number of stations that are supposed to be relocated to new positions. The locations proposed by the mathematical programming model were evaluated via computer simulation. The approach was demonstrated under the conditions of the Slovak Republic using real historical data on ambulance dispatches. We have concluded that (i) the distribution of the stations proposed by the hierarchical pq-median model overcomes the current distribution; the performance of the system has significantly improved even if only 10% of the stations are relocated to new municipalities; (ii) the variant that relocates 40% of the stations is a reasonable compromise between the benefits and induced costs; (iii) optimizing station locations in big towns can significantly improve the local as well as the nationwide performance indicators; the response times in two regional capitals has reduced by more than 4 min. |
format | Online Article Text |
id | pubmed-9564519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95645192022-10-15 Reorganization of an Emergency Medical System in a Mixed Urban-Rural Area Jánošíková, L’udmila Jankovič, Peter Kvet, Marek Ivanov, Gaston Holod, Jakub Berta, Imrich Int J Environ Res Public Health Article The reorganization of an emergency medical system means that we look for new locations of ambulance stations with the aim of improving the accessibility of the service. We applied two tools that are well known in the operations research community, namely mathematical programming, and computer simulation. Using the hierarchical pq-median model, we proposed optimal locations of the stations throughout the country and within large towns. Several solutions have been calculated that differ in the number of stations that are supposed to be relocated to new positions. The locations proposed by the mathematical programming model were evaluated via computer simulation. The approach was demonstrated under the conditions of the Slovak Republic using real historical data on ambulance dispatches. We have concluded that (i) the distribution of the stations proposed by the hierarchical pq-median model overcomes the current distribution; the performance of the system has significantly improved even if only 10% of the stations are relocated to new municipalities; (ii) the variant that relocates 40% of the stations is a reasonable compromise between the benefits and induced costs; (iii) optimizing station locations in big towns can significantly improve the local as well as the nationwide performance indicators; the response times in two regional capitals has reduced by more than 4 min. MDPI 2022-09-28 /pmc/articles/PMC9564519/ /pubmed/36231668 http://dx.doi.org/10.3390/ijerph191912369 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jánošíková, L’udmila Jankovič, Peter Kvet, Marek Ivanov, Gaston Holod, Jakub Berta, Imrich Reorganization of an Emergency Medical System in a Mixed Urban-Rural Area |
title | Reorganization of an Emergency Medical System in a Mixed Urban-Rural Area |
title_full | Reorganization of an Emergency Medical System in a Mixed Urban-Rural Area |
title_fullStr | Reorganization of an Emergency Medical System in a Mixed Urban-Rural Area |
title_full_unstemmed | Reorganization of an Emergency Medical System in a Mixed Urban-Rural Area |
title_short | Reorganization of an Emergency Medical System in a Mixed Urban-Rural Area |
title_sort | reorganization of an emergency medical system in a mixed urban-rural area |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9564519/ https://www.ncbi.nlm.nih.gov/pubmed/36231668 http://dx.doi.org/10.3390/ijerph191912369 |
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