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Applying software-defined networking to support telemedicine health consultation during and post Covid-19 era
The novel coronavirus disease-19 (COVID-19) infection has altered the society, economy, and entire healthcare system. Whilst this pandemic has presented the healthcare system with unprecedented challenges, it has rapidly promoted the adoption of telemedicine to deliver healthcare at a distance. Tele...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605874/ https://www.ncbi.nlm.nih.gov/pubmed/33163323 http://dx.doi.org/10.1007/s12553-020-00502-w |
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author | Jnr., Bokolo Anthony Nweke, Livinus Obiora Al-Sharafi, Mohammed A. |
author_facet | Jnr., Bokolo Anthony Nweke, Livinus Obiora Al-Sharafi, Mohammed A. |
author_sort | Jnr., Bokolo Anthony |
collection | PubMed |
description | The novel coronavirus disease-19 (COVID-19) infection has altered the society, economy, and entire healthcare system. Whilst this pandemic has presented the healthcare system with unprecedented challenges, it has rapidly promoted the adoption of telemedicine to deliver healthcare at a distance. Telemedicine is the use of Information and Communication Technology (ICT) for collecting, organizing, storing, retrieving, and exchanging medical information. But it is faced with the limitations of conventional IP-based protocols which makes it challenging to provide Quality of Service (QoS) for telemedicine due to issues arising from network congestion. Likewise, medical professionals adopting telemedicine are affected with low QoS during health consultations with outpatients due to increased internet usage. Therefore, this study proposes a Software-Defined Networking (SDN) based telemedicine architecture to provide QoS during telemedicine health consultations. This study utilizes secondary data from existing research works in the literature to provide a roadmap for the application of SDN to improve QoS in telemedicine during and after the COVID-19 pandemic. Findings from this study present a practical approach for applying SDN in telemedicine to provide appropriate bandwidth and facilitate real time transmission of medical data. |
format | Online Article Text |
id | pubmed-7605874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-76058742020-11-03 Applying software-defined networking to support telemedicine health consultation during and post Covid-19 era Jnr., Bokolo Anthony Nweke, Livinus Obiora Al-Sharafi, Mohammed A. Health Technol (Berl) Original Paper The novel coronavirus disease-19 (COVID-19) infection has altered the society, economy, and entire healthcare system. Whilst this pandemic has presented the healthcare system with unprecedented challenges, it has rapidly promoted the adoption of telemedicine to deliver healthcare at a distance. Telemedicine is the use of Information and Communication Technology (ICT) for collecting, organizing, storing, retrieving, and exchanging medical information. But it is faced with the limitations of conventional IP-based protocols which makes it challenging to provide Quality of Service (QoS) for telemedicine due to issues arising from network congestion. Likewise, medical professionals adopting telemedicine are affected with low QoS during health consultations with outpatients due to increased internet usage. Therefore, this study proposes a Software-Defined Networking (SDN) based telemedicine architecture to provide QoS during telemedicine health consultations. This study utilizes secondary data from existing research works in the literature to provide a roadmap for the application of SDN to improve QoS in telemedicine during and after the COVID-19 pandemic. Findings from this study present a practical approach for applying SDN in telemedicine to provide appropriate bandwidth and facilitate real time transmission of medical data. Springer Berlin Heidelberg 2020-11-02 2021 /pmc/articles/PMC7605874/ /pubmed/33163323 http://dx.doi.org/10.1007/s12553-020-00502-w Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Jnr., Bokolo Anthony Nweke, Livinus Obiora Al-Sharafi, Mohammed A. Applying software-defined networking to support telemedicine health consultation during and post Covid-19 era |
title | Applying software-defined networking to support telemedicine health consultation during and post Covid-19 era |
title_full | Applying software-defined networking to support telemedicine health consultation during and post Covid-19 era |
title_fullStr | Applying software-defined networking to support telemedicine health consultation during and post Covid-19 era |
title_full_unstemmed | Applying software-defined networking to support telemedicine health consultation during and post Covid-19 era |
title_short | Applying software-defined networking to support telemedicine health consultation during and post Covid-19 era |
title_sort | applying software-defined networking to support telemedicine health consultation during and post covid-19 era |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605874/ https://www.ncbi.nlm.nih.gov/pubmed/33163323 http://dx.doi.org/10.1007/s12553-020-00502-w |
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