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Agent-Based Medical Health Monitoring System
One of the leading healthcare concerns worldwide is the aging population. Aged patients require more significant healthcare resources because they are more likely to have chronic diseases that result in higher healthcare expenses. The design and implementation of e-health solutions, which offer pati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024934/ https://www.ncbi.nlm.nih.gov/pubmed/35458805 http://dx.doi.org/10.3390/s22082820 |
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author | Humayun, Mamoona Jhanjhi, Noor Z. Almotilag, Abdullah Almufareh, Maram Fahhad |
author_facet | Humayun, Mamoona Jhanjhi, Noor Z. Almotilag, Abdullah Almufareh, Maram Fahhad |
author_sort | Humayun, Mamoona |
collection | PubMed |
description | One of the leading healthcare concerns worldwide is the aging population. Aged patients require more significant healthcare resources because they are more likely to have chronic diseases that result in higher healthcare expenses. The design and implementation of e-health solutions, which offer patients mobile services to assist and enhance their treatment based on monitoring specific physiological data, is one of the key achievements in medical information technology. In the last few decades, there have been tremendous advancements in healthcare technology regarding mobility, size, speed, and communication. However, the critical drawback of today’s e-Health monitoring systems is that patients are confined to smart rooms and beds with monitoring gadgets. Such tracking is not widespread due to chronic patients’ mobility, privacy, and flexibility issues. Further, health monitoring devices that are fastened to a patient’s body do not give any analysis or advice. To improve the health monitoring process, a multi-agent-based system for health monitoring is provided in this study, which entails a group of intelligent agents that gather patient data, reason together, and propose actions to patients and medical professionals in a mobile context. A multi-agent-based framework presented in this study is evaluated through a case study. The results show that the proposed system provides an efficient health monitoring system for chronic, aged, and remote patients. Further, the proposed approach outperforms the existing mHealth system, allowing for timely health facilities for remote patients using 5G technology. |
format | Online Article Text |
id | pubmed-9024934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90249342022-04-23 Agent-Based Medical Health Monitoring System Humayun, Mamoona Jhanjhi, Noor Z. Almotilag, Abdullah Almufareh, Maram Fahhad Sensors (Basel) Article One of the leading healthcare concerns worldwide is the aging population. Aged patients require more significant healthcare resources because they are more likely to have chronic diseases that result in higher healthcare expenses. The design and implementation of e-health solutions, which offer patients mobile services to assist and enhance their treatment based on monitoring specific physiological data, is one of the key achievements in medical information technology. In the last few decades, there have been tremendous advancements in healthcare technology regarding mobility, size, speed, and communication. However, the critical drawback of today’s e-Health monitoring systems is that patients are confined to smart rooms and beds with monitoring gadgets. Such tracking is not widespread due to chronic patients’ mobility, privacy, and flexibility issues. Further, health monitoring devices that are fastened to a patient’s body do not give any analysis or advice. To improve the health monitoring process, a multi-agent-based system for health monitoring is provided in this study, which entails a group of intelligent agents that gather patient data, reason together, and propose actions to patients and medical professionals in a mobile context. A multi-agent-based framework presented in this study is evaluated through a case study. The results show that the proposed system provides an efficient health monitoring system for chronic, aged, and remote patients. Further, the proposed approach outperforms the existing mHealth system, allowing for timely health facilities for remote patients using 5G technology. MDPI 2022-04-07 /pmc/articles/PMC9024934/ /pubmed/35458805 http://dx.doi.org/10.3390/s22082820 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Humayun, Mamoona Jhanjhi, Noor Z. Almotilag, Abdullah Almufareh, Maram Fahhad Agent-Based Medical Health Monitoring System |
title | Agent-Based Medical Health Monitoring System |
title_full | Agent-Based Medical Health Monitoring System |
title_fullStr | Agent-Based Medical Health Monitoring System |
title_full_unstemmed | Agent-Based Medical Health Monitoring System |
title_short | Agent-Based Medical Health Monitoring System |
title_sort | agent-based medical health monitoring system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024934/ https://www.ncbi.nlm.nih.gov/pubmed/35458805 http://dx.doi.org/10.3390/s22082820 |
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