Modelling and Simulation of the COPD Patient and Clinical Staff in the Emergency Department (ED)

Autores
Hallaj Asghar, Mohsen; Vicente-Villalba, Alex; Wong, Alvaro; Rexachs del Rosario, Dolores; Luque Fadón, Emilio
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Chronic Obstructive Pulmonary Disease (COPD) is a critical and major social health problem. Comorbidities and coexisting conditions and symptoms are associated with and affected the whole body of COPD patients. Regarding the Exacerbation COPD patient, the Emergency Department (ED) and Emergency Medical Service (EMS) responsibility is managing, decision making, treating the initial response to the COPD patient. During the process, the head nurse and emergency medicine specialist should make various decisions for COPD patients. The first aims of this research is to create a new conceptual model to investigate the model of COPD patient, exacerbation COPD in EMS, Multiple COPD pathologies in ED, nurse action in the emergency box, nurse decision making, evaluation of the patient's condition, and reaction to the emergency box. The second purpose of this research is to create a computational model which will concentrate on the simulation model to use the probabilistic finite- state machines for training the nurses for professional decision with treatment and decision without treatment to evolves nurse with intervention to prevent exacerbation of COPD patients.
Facultad de Informática
Materia
Ciencias Informáticas
Simulation
COPD
Pathologies
Emergency Department (ED)
Emergency Medical Service (EMS)
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/125254
Acceder
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network_name_str SEDICI (UNLP)
spelling Modelling and Simulation of the COPD Patient and Clinical Staff in the Emergency Department (ED)Hallaj Asghar, MohsenVicente-Villalba, AlexWong, AlvaroRexachs del Rosario, DoloresLuque Fadón, EmilioCiencias InformáticasSimulationCOPDPathologiesEmergency Department (ED)Emergency Medical Service (EMS)Chronic Obstructive Pulmonary Disease (COPD) is a critical and major social health problem. Comorbidities and coexisting conditions and symptoms are associated with and affected the whole body of COPD patients. Regarding the Exacerbation COPD patient, the Emergency Department (ED) and Emergency Medical Service (EMS) responsibility is managing, decision making, treating the initial response to the COPD patient. During the process, the head nurse and emergency medicine specialist should make various decisions for COPD patients. The first aims of this research is to create a new conceptual model to investigate the model of COPD patient, exacerbation COPD in EMS, Multiple COPD pathologies in ED, nurse action in the emergency box, nurse decision making, evaluation of the patient's condition, and reaction to the emergency box. The second purpose of this research is to create a computational model which will concentrate on the simulation model to use the probabilistic finite- state machines for training the nurses for professional decision with treatment and decision without treatment to evolves nurse with intervention to prevent exacerbation of COPD patients.Facultad de Informática2021info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf59-63http://sedici.unlp.edu.ar/handle/10915/125254enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2016-4info:eu-repo/semantics/reference/hdl/10915/121564info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:30:08Zoai:sedici.unlp.edu.ar:10915/125254Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:30:08.469SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Modelling and Simulation of the COPD Patient and Clinical Staff in the Emergency Department (ED)
title Modelling and Simulation of the COPD Patient and Clinical Staff in the Emergency Department (ED)
spellingShingle Modelling and Simulation of the COPD Patient and Clinical Staff in the Emergency Department (ED)
Hallaj Asghar, Mohsen
Ciencias Informáticas
Simulation
COPD
Pathologies
Emergency Department (ED)
Emergency Medical Service (EMS)
title_short Modelling and Simulation of the COPD Patient and Clinical Staff in the Emergency Department (ED)
title_full Modelling and Simulation of the COPD Patient and Clinical Staff in the Emergency Department (ED)
title_fullStr Modelling and Simulation of the COPD Patient and Clinical Staff in the Emergency Department (ED)
title_full_unstemmed Modelling and Simulation of the COPD Patient and Clinical Staff in the Emergency Department (ED)
title_sort Modelling and Simulation of the COPD Patient and Clinical Staff in the Emergency Department (ED)
dc.creator.none.fl_str_mv Hallaj Asghar, Mohsen
Vicente-Villalba, Alex
Wong, Alvaro
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
author Hallaj Asghar, Mohsen
author_facet Hallaj Asghar, Mohsen
Vicente-Villalba, Alex
Wong, Alvaro
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
author_role author
author2 Vicente-Villalba, Alex
Wong, Alvaro
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Simulation
COPD
Pathologies
Emergency Department (ED)
Emergency Medical Service (EMS)
topic Ciencias Informáticas
Simulation
COPD
Pathologies
Emergency Department (ED)
Emergency Medical Service (EMS)
dc.description.none.fl_txt_mv Chronic Obstructive Pulmonary Disease (COPD) is a critical and major social health problem. Comorbidities and coexisting conditions and symptoms are associated with and affected the whole body of COPD patients. Regarding the Exacerbation COPD patient, the Emergency Department (ED) and Emergency Medical Service (EMS) responsibility is managing, decision making, treating the initial response to the COPD patient. During the process, the head nurse and emergency medicine specialist should make various decisions for COPD patients. The first aims of this research is to create a new conceptual model to investigate the model of COPD patient, exacerbation COPD in EMS, Multiple COPD pathologies in ED, nurse action in the emergency box, nurse decision making, evaluation of the patient's condition, and reaction to the emergency box. The second purpose of this research is to create a computational model which will concentrate on the simulation model to use the probabilistic finite- state machines for training the nurses for professional decision with treatment and decision without treatment to evolves nurse with intervention to prevent exacerbation of COPD patients.
Facultad de Informática
description Chronic Obstructive Pulmonary Disease (COPD) is a critical and major social health problem. Comorbidities and coexisting conditions and symptoms are associated with and affected the whole body of COPD patients. Regarding the Exacerbation COPD patient, the Emergency Department (ED) and Emergency Medical Service (EMS) responsibility is managing, decision making, treating the initial response to the COPD patient. During the process, the head nurse and emergency medicine specialist should make various decisions for COPD patients. The first aims of this research is to create a new conceptual model to investigate the model of COPD patient, exacerbation COPD in EMS, Multiple COPD pathologies in ED, nurse action in the emergency box, nurse decision making, evaluation of the patient's condition, and reaction to the emergency box. The second purpose of this research is to create a computational model which will concentrate on the simulation model to use the probabilistic finite- state machines for training the nurses for professional decision with treatment and decision without treatment to evolves nurse with intervention to prevent exacerbation of COPD patients.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/125254
url http://sedici.unlp.edu.ar/handle/10915/125254
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-2016-4
info:eu-repo/semantics/reference/hdl/10915/121564
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
59-63
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.070432

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