Testing an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima city

Descripción del Articulo

In this paper, a scheme of teleconsult aimed to improve of type-2 diabetes treatment of patients belonging to Peri-urban at Lima city was designed and tested. In essence, the system measures glucose values and number of depressive episodes continuously. It turns out to be advantageous in the sense t...

Descripción completa

Detalles Bibliográficos
Autor: Nieto Chaupis, Huber
Formato: objeto de conferencia
Fecha de Publicación:2016
Institución:Universidad de Ciencias y Humanidades
Repositorio:UCH-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.uch.edu.pe:uch/339
Enlace del recurso:http://repositorio.uch.edu.pe/handle/uch/339
http://dx.doi.org/10.1109/ICEDEG.2016.7461706
https://ieeexplore.ieee.org/document/7461706
Nivel de acceso:acceso embargado
Materia:Glucose
Patient rehabilitation
Risk assessment
Anomalous events
Cardiovascular event
Decision-based
Ehealth
Peri-urban areas
Probability of risks
Telemedicine systems
Type-2 diabetes
Patient treatment
id UUCH_593466d3797c2f3eb81f7480d8e8a809
oai_identifier_str oai:repositorio.uch.edu.pe:uch/339
network_acronym_str UUCH
network_name_str UCH-Institucional
repository_id_str 4783
spelling Nieto Chaupis, Huber30 March 2016 through 1 April 20162019-08-18T21:47:39Z2019-08-18T21:47:39Z2016-03Nieto Chaupis, H. (Marzo, 2016). Testing an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima city. En Third International Conference on eDemocracy & eGovernment (ICEDEG), Ecuador.http://repositorio.uch.edu.pe/handle/uch/339http://dx.doi.org/10.1109/ICEDEG.2016.7461706https://ieeexplore.ieee.org/document/746170610.1109/ICEDEG.2016.7461706International Conference on eDemocracy and eGovernment, ICEDEG2-s2.0-84971232314In this paper, a scheme of teleconsult aimed to improve of type-2 diabetes treatment of patients belonging to Peri-urban at Lima city was designed and tested. In essence, the system measures glucose values and number of depressive episodes continuously. It turns out to be advantageous in the sense that the system would make predictions for next weeks, and thus gives capabilities to health specialists to carry out precise interventions. For instance, when one anomalous event is identified in the sense that the glucose value is above 350 mg/dL and having at least one widely depressive state per week, the health specialist would take rapid decision based on an aggressive program of teleconsults which might be of order of up to 5 per week. In this manner, the recovery of patient to reach stable values might take up to 15 days, after of applying the Telemedicine system. This result can be superimposed to the measured pressure blood values by which it is possible to predict within certain errors, the probability of risk for getting a cardiovascular attack. The present scheme might to reduce the probability of getting a cardiovascular assault by a 25% ± 5% in those patients following the proposed teleconsult system of this study.Submitted by sistemas uch (sistemas@uch.edu.pe) on 2019-08-18T21:47:39Z No. of bitstreams: 1 REPOSITORIO.pdf: 29656 bytes, checksum: 04319d67592b306412ce804f495f0004 (MD5)Made available in DSpace on 2019-08-18T21:47:39Z (GMT). No. of bitstreams: 1 REPOSITORIO.pdf: 29656 bytes, checksum: 04319d67592b306412ce804f495f0004 (MD5) Previous issue date: 2016-03engInstitute of Electrical and Electronics Engineers Inc.info:eu-repo/semantics/article3rd International Conference on eDemocracy and eGovernment, ICEDEG 2016info:eu-repo/semantics/embargoedAccessRepositorio Institucional - UCHUniversidad de Ciencias y Humanidadesreponame:UCH-Institucionalinstname:Universidad de Ciencias y Humanidadesinstacron:UCHGlucosePatient rehabilitationRisk assessmentAnomalous eventsCardiovascular eventDecision-basedEhealthPeri-urban areasProbability of risksTelemedicine systemsType-2 diabetesPatient treatmentTesting an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima cityinfo:eu-repo/semantics/conferenceObjectuch/339oai:repositorio.uch.edu.pe:uch/3392019-12-20 18:34:00.775Repositorio UCHuch.dspace@gmail.com
dc.title.en_PE.fl_str_mv Testing an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima city
title Testing an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima city
spellingShingle Testing an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima city
Nieto Chaupis, Huber
Glucose
Patient rehabilitation
Risk assessment
Anomalous events
Cardiovascular event
Decision-based
Ehealth
Peri-urban areas
Probability of risks
Telemedicine systems
Type-2 diabetes
Patient treatment
title_short Testing an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima city
title_full Testing an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima city
title_fullStr Testing an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima city
title_full_unstemmed Testing an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima city
title_sort Testing an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima city
author Nieto Chaupis, Huber
author_facet Nieto Chaupis, Huber
author_role author
dc.contributor.author.fl_str_mv Nieto Chaupis, Huber
dc.subject.en.fl_str_mv Glucose
Patient rehabilitation
Risk assessment
Anomalous events
Cardiovascular event
Decision-based
Ehealth
Peri-urban areas
Probability of risks
Telemedicine systems
Type-2 diabetes
Patient treatment
topic Glucose
Patient rehabilitation
Risk assessment
Anomalous events
Cardiovascular event
Decision-based
Ehealth
Peri-urban areas
Probability of risks
Telemedicine systems
Type-2 diabetes
Patient treatment
description In this paper, a scheme of teleconsult aimed to improve of type-2 diabetes treatment of patients belonging to Peri-urban at Lima city was designed and tested. In essence, the system measures glucose values and number of depressive episodes continuously. It turns out to be advantageous in the sense that the system would make predictions for next weeks, and thus gives capabilities to health specialists to carry out precise interventions. For instance, when one anomalous event is identified in the sense that the glucose value is above 350 mg/dL and having at least one widely depressive state per week, the health specialist would take rapid decision based on an aggressive program of teleconsults which might be of order of up to 5 per week. In this manner, the recovery of patient to reach stable values might take up to 15 days, after of applying the Telemedicine system. This result can be superimposed to the measured pressure blood values by which it is possible to predict within certain errors, the probability of risk for getting a cardiovascular attack. The present scheme might to reduce the probability of getting a cardiovascular assault by a 25% ± 5% in those patients following the proposed teleconsult system of this study.
publishDate 2016
dc.date.accessioned.none.fl_str_mv 2019-08-18T21:47:39Z
dc.date.available.none.fl_str_mv 2019-08-18T21:47:39Z
dc.date.issued.fl_str_mv 2016-03
dc.type.en_PE.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
dc.identifier.citation.en_PE.fl_str_mv Nieto Chaupis, H. (Marzo, 2016). Testing an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima city. En Third International Conference on eDemocracy & eGovernment (ICEDEG), Ecuador.
dc.identifier.uri.none.fl_str_mv http://repositorio.uch.edu.pe/handle/uch/339
http://dx.doi.org/10.1109/ICEDEG.2016.7461706
https://ieeexplore.ieee.org/document/7461706
dc.identifier.doi.en_PE.fl_str_mv 10.1109/ICEDEG.2016.7461706
dc.identifier.journal.en_PE.fl_str_mv International Conference on eDemocracy and eGovernment, ICEDEG
dc.identifier.scopus.none.fl_str_mv 2-s2.0-84971232314
identifier_str_mv Nieto Chaupis, H. (Marzo, 2016). Testing an eHealth model to reduce unexpected cardiovascular events and depress episodes in type-2 diabetes patients of peri-urban areas of Lima city. En Third International Conference on eDemocracy & eGovernment (ICEDEG), Ecuador.
10.1109/ICEDEG.2016.7461706
International Conference on eDemocracy and eGovernment, ICEDEG
2-s2.0-84971232314
url http://repositorio.uch.edu.pe/handle/uch/339
http://dx.doi.org/10.1109/ICEDEG.2016.7461706
https://ieeexplore.ieee.org/document/7461706
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.en_PE.fl_str_mv info:eu-repo/semantics/article
dc.relation.ispartof.none.fl_str_mv 3rd International Conference on eDemocracy and eGovernment, ICEDEG 2016
dc.rights.en_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.coverage.temporal.none.fl_str_mv 30 March 2016 through 1 April 2016
dc.publisher.en_PE.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.en_PE.fl_str_mv Repositorio Institucional - UCH
Universidad de Ciencias y Humanidades
dc.source.none.fl_str_mv reponame:UCH-Institucional
instname:Universidad de Ciencias y Humanidades
instacron:UCH
instname_str Universidad de Ciencias y Humanidades
instacron_str UCH
institution UCH
reponame_str UCH-Institucional
collection UCH-Institucional
repository.name.fl_str_mv Repositorio UCH
repository.mail.fl_str_mv uch.dspace@gmail.com
_version_ 1835549006929854464
score 13.871978
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).