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Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments

With the rapid advancement of information and communication technology (ICT), big data, and artificial intelligence (AI), intelligent healthcare systems have emerged, including the integration of healthcare systems with capital, the introduction of healthcare systems into long-term care institutions...

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Detalles Bibliográficos
Autores principales: Wang, Wei-Hsun, Hsu, Wen-Shin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346723/
https://www.ncbi.nlm.nih.gov/pubmed/37447763
http://dx.doi.org/10.3390/s23135913
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author Wang, Wei-Hsun
Hsu, Wen-Shin
author_facet Wang, Wei-Hsun
Hsu, Wen-Shin
author_sort Wang, Wei-Hsun
collection PubMed
description With the rapid advancement of information and communication technology (ICT), big data, and artificial intelligence (AI), intelligent healthcare systems have emerged, including the integration of healthcare systems with capital, the introduction of healthcare systems into long-term care institutions, and the integration of measurement data for care or exposure. These systems provide comprehensive communication and home exposure reports and enable the involvement of rehabilitation specialists and other experts. Silver technology enables the realization of health management in long-term care services, workplace care, and health applications, facilitating disease prevention and control, improving disease management, reducing home isolation, alleviating family burden in terms of nursing, and promoting health and disease control. Research and development efforts in forward-looking cross-domain precision health technology, system construction, testing, and integration are carried out. This integrated project consists of two main components. The Integrated Intelligent Long-Term Care Service Management System focuses on building a personalized care service system for the elderly, encompassing health, nutrition, diet, and health education aspects. The Wearable Internet of Things Care System primarily supports the development of portable physiological signal detection devices and electronic fences.
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spelling pubmed-103467232023-07-15 Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments Wang, Wei-Hsun Hsu, Wen-Shin Sensors (Basel) Article With the rapid advancement of information and communication technology (ICT), big data, and artificial intelligence (AI), intelligent healthcare systems have emerged, including the integration of healthcare systems with capital, the introduction of healthcare systems into long-term care institutions, and the integration of measurement data for care or exposure. These systems provide comprehensive communication and home exposure reports and enable the involvement of rehabilitation specialists and other experts. Silver technology enables the realization of health management in long-term care services, workplace care, and health applications, facilitating disease prevention and control, improving disease management, reducing home isolation, alleviating family burden in terms of nursing, and promoting health and disease control. Research and development efforts in forward-looking cross-domain precision health technology, system construction, testing, and integration are carried out. This integrated project consists of two main components. The Integrated Intelligent Long-Term Care Service Management System focuses on building a personalized care service system for the elderly, encompassing health, nutrition, diet, and health education aspects. The Wearable Internet of Things Care System primarily supports the development of portable physiological signal detection devices and electronic fences. MDPI 2023-06-26 /pmc/articles/PMC10346723/ /pubmed/37447763 http://dx.doi.org/10.3390/s23135913 Text en © 2023 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
Wang, Wei-Hsun
Hsu, Wen-Shin
Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments
title Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments
title_full Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments
title_fullStr Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments
title_full_unstemmed Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments
title_short Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments
title_sort integrating artificial intelligence and wearable iot system in long-term care environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346723/
https://www.ncbi.nlm.nih.gov/pubmed/37447763
http://dx.doi.org/10.3390/s23135913
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