Internet of things for precision intensive medicine

Detalhes bibliográficos
Autor(a) principal: Mosavi, Nasimsadat
Data de Publicação: 2022
Outros Autores: Santos, Manuel
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/90399
Resumo: Whereas the Precision Medicine approach plays a critical role in revolutionizing clinical decision-making, the accessibility of patient data in a customized way can empower this patient-centric clinical practice. Thus, successful utilization of the Internet of Things (IoT), is a technological booster for replacing the "one-size-fits-all" model to "patient-like-me" to tailor the treatment pathway according to the individual's variabilities in genetic profile, lifestyle, and environments indicators. This real-time and data-driven clinical decision-making model improves the quality of healthcare service, reduces side effects, cuts the cost of overt treatment, and saves more lives. This paper aims to highlight the significant role of IoT in emerging PM applications.
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spelling Internet of things for precision intensive medicineClinical decision makingdata-driven modelIntensive medicineInternet of thingsPrecision medicineReal-timeEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaWhereas the Precision Medicine approach plays a critical role in revolutionizing clinical decision-making, the accessibility of patient data in a customized way can empower this patient-centric clinical practice. Thus, successful utilization of the Internet of Things (IoT), is a technological booster for replacing the "one-size-fits-all" model to "patient-like-me" to tailor the treatment pathway according to the individual's variabilities in genetic profile, lifestyle, and environments indicators. This real-time and data-driven clinical decision-making model improves the quality of healthcare service, reduces side effects, cuts the cost of overt treatment, and saves more lives. This paper aims to highlight the significant role of IoT in emerging PM applications.(undefined)Elsevier 1Universidade do MinhoMosavi, NasimsadatSantos, Manuel20222022-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/90399engMosavi, N. S., & Santos, M. F. (2022). Internet of things for precision intensive medicine. Procedia Computer Science. Elsevier BV. http://doi.org/10.1016/j.procs.2022.03.0991877-050910.1016/j.procs.2022.03.099https://www.sciencedirect.com/science/article/pii/S1877050922005129info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-11-16T01:28:06Zoai:repositorium.sdum.uminho.pt:1822/90399Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-16T01:28:06Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Internet of things for precision intensive medicine
title Internet of things for precision intensive medicine
spellingShingle Internet of things for precision intensive medicine
Mosavi, Nasimsadat
Clinical decision making
data-driven model
Intensive medicine
Internet of things
Precision medicine
Real-time
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
title_short Internet of things for precision intensive medicine
title_full Internet of things for precision intensive medicine
title_fullStr Internet of things for precision intensive medicine
title_full_unstemmed Internet of things for precision intensive medicine
title_sort Internet of things for precision intensive medicine
author Mosavi, Nasimsadat
author_facet Mosavi, Nasimsadat
Santos, Manuel
author_role author
author2 Santos, Manuel
author2_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Mosavi, Nasimsadat
Santos, Manuel
dc.subject.por.fl_str_mv Clinical decision making
data-driven model
Intensive medicine
Internet of things
Precision medicine
Real-time
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
topic Clinical decision making
data-driven model
Intensive medicine
Internet of things
Precision medicine
Real-time
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
description Whereas the Precision Medicine approach plays a critical role in revolutionizing clinical decision-making, the accessibility of patient data in a customized way can empower this patient-centric clinical practice. Thus, successful utilization of the Internet of Things (IoT), is a technological booster for replacing the "one-size-fits-all" model to "patient-like-me" to tailor the treatment pathway according to the individual's variabilities in genetic profile, lifestyle, and environments indicators. This real-time and data-driven clinical decision-making model improves the quality of healthcare service, reduces side effects, cuts the cost of overt treatment, and saves more lives. This paper aims to highlight the significant role of IoT in emerging PM applications.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/90399
url https://hdl.handle.net/1822/90399
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Mosavi, N. S., & Santos, M. F. (2022). Internet of things for precision intensive medicine. Procedia Computer Science. Elsevier BV. http://doi.org/10.1016/j.procs.2022.03.099
1877-0509
10.1016/j.procs.2022.03.099
https://www.sciencedirect.com/science/article/pii/S1877050922005129
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier 1
publisher.none.fl_str_mv Elsevier 1
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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