Internet of things for precision intensive medicine
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
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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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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1817545026468577280 |