The analytic decision-making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model

In recent years, a series of important emergencies have been taken place worldwide in industrial plants. After the occurrence of a disaster, it is essential to activate the correct emergency procedures. Particularly, it is important to direct people injured in hospitals which are able to handle emer...

Full description

Autores:
Ortiz Barrios, Miguel Angel
Alemán Romero, Brandon Antonio
Rebolledo Rudas, Janeth
Maldonado Mestre, Heberth
Montes Villa, Lizeth
De Felice, Fabio
Petrillo, Antonella
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/1202
Acceso en línea:
https://hdl.handle.net/11323/1202
https://repositorio.cuc.edu.co/
Palabra clave:
AHP
Dematel
Disaster Management
Emergency
Industrial Engineering
Topsis
Rights
openAccess
License
Atribución – No comercial – Compartir igual
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dc.title.eng.fl_str_mv The analytic decision-making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model
title The analytic decision-making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model
spellingShingle The analytic decision-making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model
AHP
Dematel
Disaster Management
Emergency
Industrial Engineering
Topsis
title_short The analytic decision-making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model
title_full The analytic decision-making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model
title_fullStr The analytic decision-making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model
title_full_unstemmed The analytic decision-making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model
title_sort The analytic decision-making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model
dc.creator.fl_str_mv Ortiz Barrios, Miguel Angel
Alemán Romero, Brandon Antonio
Rebolledo Rudas, Janeth
Maldonado Mestre, Heberth
Montes Villa, Lizeth
De Felice, Fabio
Petrillo, Antonella
dc.contributor.author.spa.fl_str_mv Ortiz Barrios, Miguel Angel
Alemán Romero, Brandon Antonio
Rebolledo Rudas, Janeth
Maldonado Mestre, Heberth
Montes Villa, Lizeth
De Felice, Fabio
Petrillo, Antonella
dc.subject.eng.fl_str_mv AHP
Dematel
Disaster Management
Emergency
Industrial Engineering
Topsis
topic AHP
Dematel
Disaster Management
Emergency
Industrial Engineering
Topsis
description In recent years, a series of important emergencies have been taken place worldwide in industrial plants. After the occurrence of a disaster, it is essential to activate the correct emergency procedures. Particularly, it is important to direct people injured in hospitals which are able to handle emergencies. Thus, nowadays, the emergency services require a management process starting from the disaster moment to the involvement of all actors participating in the process to provide integral, safe, and quality attention. The aim of this study is to help hospitals become better prepared for major disasters and public health emergencies and to evaluate the readiness of emergency departments for a disaster situation. A hybrid model called the “analytic decision-making preference model” based on analytic hierarchy process, decision-making trial and evaluation laboratory, and technique for order of preference by similarity to ideal solution methods is proposed. Analytic hierarchy process is used to determine the criteria and subcriteria weights. Then, decision-making trial and evaluation laboratory is used to evaluate interdependence between criteria and subcriteria. After this, technique for order of preference by similarity to ideal solution is applied to rank the emergency departments from highest to lowest according to their closeness coefficient. A real-life application in Colombia is presented.
publishDate 2017
dc.date.issued.none.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2018-11-16T23:21:35Z
dc.date.available.none.fl_str_mv 2018-11-16T23:21:35Z
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
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status_str acceptedVersion
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/1202
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
url https://hdl.handle.net/11323/1202
https://repositorio.cuc.edu.co/
identifier_str_mv Corporación Universidad de la Costa
REDICUC - Repositorio CUC
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.spa.fl_str_mv Atribución – No comercial – Compartir igual
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
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rights_invalid_str_mv Atribución – No comercial – Compartir igual
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.spa.fl_str_mv https://doi.org/10.1002/mcda.1629
institution Corporación Universidad de la Costa
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spelling Ortiz Barrios, Miguel AngelAlemán Romero, Brandon AntonioRebolledo Rudas, JanethMaldonado Mestre, HeberthMontes Villa, LizethDe Felice, FabioPetrillo, Antonella2018-11-16T23:21:35Z2018-11-16T23:21:35Z2017https://hdl.handle.net/11323/1202Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/In recent years, a series of important emergencies have been taken place worldwide in industrial plants. After the occurrence of a disaster, it is essential to activate the correct emergency procedures. Particularly, it is important to direct people injured in hospitals which are able to handle emergencies. Thus, nowadays, the emergency services require a management process starting from the disaster moment to the involvement of all actors participating in the process to provide integral, safe, and quality attention. The aim of this study is to help hospitals become better prepared for major disasters and public health emergencies and to evaluate the readiness of emergency departments for a disaster situation. A hybrid model called the “analytic decision-making preference model” based on analytic hierarchy process, decision-making trial and evaluation laboratory, and technique for order of preference by similarity to ideal solution methods is proposed. Analytic hierarchy process is used to determine the criteria and subcriteria weights. Then, decision-making trial and evaluation laboratory is used to evaluate interdependence between criteria and subcriteria. After this, technique for order of preference by similarity to ideal solution is applied to rank the emergency departments from highest to lowest according to their closeness coefficient. 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