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Fog-based healthcare systems: A systematic review
The healthcare system aims to provide a reliable and organized solution to enhance the health of human society. Studying the history of patients can help physicians to consider patients’ needs in healthcare system designing and offering service, which leads to an increase in patient satisfaction. Th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418296/ https://www.ncbi.nlm.nih.gov/pubmed/34512110 http://dx.doi.org/10.1007/s11042-021-11227-x |
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author | Ahmadi, Zahra Haghi Kashani, Mostafa Nikravan, Mohammad Mahdipour, Ebrahim |
author_facet | Ahmadi, Zahra Haghi Kashani, Mostafa Nikravan, Mohammad Mahdipour, Ebrahim |
author_sort | Ahmadi, Zahra |
collection | PubMed |
description | The healthcare system aims to provide a reliable and organized solution to enhance the health of human society. Studying the history of patients can help physicians to consider patients’ needs in healthcare system designing and offering service, which leads to an increase in patient satisfaction. Therefore, healthcare is becoming a growing contesting market. With this significant growth in healthcare systems, such challenges as huge data volume, response time, latency, and security vulnerability are raised. Therefore, fog computing, as a well-known distributed architecture, could help to solve such challenges. In fog computing architecture, processing components are placed between the end devices and cloud components, and they execute applications. This architecture is suitable for such applications as healthcare systems that need a real-time response and low latency. In this paper, a systematic review of available approaches in the field of fog-based healthcare systems is proposed; the challenges of its application in healthcare are explored, classified, and discussed. First, the fog computing approaches in healthcare are categorized into three main classes: communication, application, and resource/service. Then, they are discussed and compared based on their tools, evaluation methods, and evaluation metrics. Finally, based on observations, some open issues and challenges are highlighted for further studies in fog-based healthcare. |
format | Online Article Text |
id | pubmed-8418296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-84182962021-09-07 Fog-based healthcare systems: A systematic review Ahmadi, Zahra Haghi Kashani, Mostafa Nikravan, Mohammad Mahdipour, Ebrahim Multimed Tools Appl Article The healthcare system aims to provide a reliable and organized solution to enhance the health of human society. Studying the history of patients can help physicians to consider patients’ needs in healthcare system designing and offering service, which leads to an increase in patient satisfaction. Therefore, healthcare is becoming a growing contesting market. With this significant growth in healthcare systems, such challenges as huge data volume, response time, latency, and security vulnerability are raised. Therefore, fog computing, as a well-known distributed architecture, could help to solve such challenges. In fog computing architecture, processing components are placed between the end devices and cloud components, and they execute applications. This architecture is suitable for such applications as healthcare systems that need a real-time response and low latency. In this paper, a systematic review of available approaches in the field of fog-based healthcare systems is proposed; the challenges of its application in healthcare are explored, classified, and discussed. First, the fog computing approaches in healthcare are categorized into three main classes: communication, application, and resource/service. Then, they are discussed and compared based on their tools, evaluation methods, and evaluation metrics. Finally, based on observations, some open issues and challenges are highlighted for further studies in fog-based healthcare. Springer US 2021-09-04 2021 /pmc/articles/PMC8418296/ /pubmed/34512110 http://dx.doi.org/10.1007/s11042-021-11227-x Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Ahmadi, Zahra Haghi Kashani, Mostafa Nikravan, Mohammad Mahdipour, Ebrahim Fog-based healthcare systems: A systematic review |
title | Fog-based healthcare systems: A systematic review |
title_full | Fog-based healthcare systems: A systematic review |
title_fullStr | Fog-based healthcare systems: A systematic review |
title_full_unstemmed | Fog-based healthcare systems: A systematic review |
title_short | Fog-based healthcare systems: A systematic review |
title_sort | fog-based healthcare systems: a systematic review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418296/ https://www.ncbi.nlm.nih.gov/pubmed/34512110 http://dx.doi.org/10.1007/s11042-021-11227-x |
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