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A home hospitalization system based on the Internet of things, Fog computing and cloud computing
In recent years, the world has witnessed a significant increase in the number of elderly who often suffer from chronic diseases, and has witnessed in recent months a major spread of the new coronavirus (COVID-19), which has led to thousands of deaths, especially among the elderly and people who suff...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282767/ https://www.ncbi.nlm.nih.gov/pubmed/32537483 http://dx.doi.org/10.1016/j.imu.2020.100368 |
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author | Ben Hassen, Hafedh Ayari, Nadia Hamdi, Belgacem |
author_facet | Ben Hassen, Hafedh Ayari, Nadia Hamdi, Belgacem |
author_sort | Ben Hassen, Hafedh |
collection | PubMed |
description | In recent years, the world has witnessed a significant increase in the number of elderly who often suffer from chronic diseases, and has witnessed in recent months a major spread of the new coronavirus (COVID-19), which has led to thousands of deaths, especially among the elderly and people who suffer from chronic diseases. Coronavirus has also caused many problems in hospitals, where these are no longer able to accommodate a large number of patients. This virus has also begun to spread between medical and paramedical teams, and this causes a major risk to the health of patients staying in hospitals. To reduce the spread of the virus and maintain the health of patients who need a hospital stay, home hospitalization is one of the best possible solutions. This paper proposes a home hospitalization system based on the Internet of Things (IoT), Fog computing, and Cloud computing, which are among the most important technologies that have contributed to the development of the healthcare sector in a significant way. These systems allow patients to recover and receive treatment in their homes and among their families, where patient health and the hospitalization room environmental state are monitored, to enable doctors to follow the hospitalization process and make recommendations to patients and their supervisors, through monitoring units and mobile applications developed for this purpose. The results of evaluation have shown great acceptance of this system by patients and doctors alike. |
format | Online Article Text |
id | pubmed-7282767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72827672020-06-10 A home hospitalization system based on the Internet of things, Fog computing and cloud computing Ben Hassen, Hafedh Ayari, Nadia Hamdi, Belgacem Inform Med Unlocked Article In recent years, the world has witnessed a significant increase in the number of elderly who often suffer from chronic diseases, and has witnessed in recent months a major spread of the new coronavirus (COVID-19), which has led to thousands of deaths, especially among the elderly and people who suffer from chronic diseases. Coronavirus has also caused many problems in hospitals, where these are no longer able to accommodate a large number of patients. This virus has also begun to spread between medical and paramedical teams, and this causes a major risk to the health of patients staying in hospitals. To reduce the spread of the virus and maintain the health of patients who need a hospital stay, home hospitalization is one of the best possible solutions. This paper proposes a home hospitalization system based on the Internet of Things (IoT), Fog computing, and Cloud computing, which are among the most important technologies that have contributed to the development of the healthcare sector in a significant way. These systems allow patients to recover and receive treatment in their homes and among their families, where patient health and the hospitalization room environmental state are monitored, to enable doctors to follow the hospitalization process and make recommendations to patients and their supervisors, through monitoring units and mobile applications developed for this purpose. The results of evaluation have shown great acceptance of this system by patients and doctors alike. The Authors. Published by Elsevier Ltd. 2020 2020-06-09 /pmc/articles/PMC7282767/ /pubmed/32537483 http://dx.doi.org/10.1016/j.imu.2020.100368 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ben Hassen, Hafedh Ayari, Nadia Hamdi, Belgacem A home hospitalization system based on the Internet of things, Fog computing and cloud computing |
title | A home hospitalization system based on the Internet of things, Fog computing and cloud computing |
title_full | A home hospitalization system based on the Internet of things, Fog computing and cloud computing |
title_fullStr | A home hospitalization system based on the Internet of things, Fog computing and cloud computing |
title_full_unstemmed | A home hospitalization system based on the Internet of things, Fog computing and cloud computing |
title_short | A home hospitalization system based on the Internet of things, Fog computing and cloud computing |
title_sort | home hospitalization system based on the internet of things, fog computing and cloud computing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282767/ https://www.ncbi.nlm.nih.gov/pubmed/32537483 http://dx.doi.org/10.1016/j.imu.2020.100368 |
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