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Applying Software-defined Networking to Support Telemedicine Health Consultation During and Post Covid-19 Era

Overview
Publisher Springer
Date 2020 Nov 9
PMID 33163323
Citations 4
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Abstract

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.

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A Review of Mobile Applications Available in the App and Google Play Stores Used During the COVID-19 Outbreak.

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References
1.
Sonkin R, Alpert E, Jaffe E . Epidemic investigations within an arm's reach - role of google maps during an epidemic outbreak. Health Technol (Berl). 2020; 10(6):1397-1402. PMC: 7354361. DOI: 10.1007/s12553-020-00463-0. View

2.
Pecchia L, Piaggio D, Maccaro A, Formisano C, Iadanza E . The Inadequacy of Regulatory Frameworks in Time of Crisis and in Low-Resource Settings: Personal Protective Equipment and COVID-19. Health Technol (Berl). 2020; 10(6):1375-1383. PMC: 7195610. DOI: 10.1007/s12553-020-00429-2. View

3.
Wosik J, Fudim M, Cameron B, Gellad Z, Cho A, Phinney D . Telehealth transformation: COVID-19 and the rise of virtual care. J Am Med Inform Assoc. 2020; 27(6):957-962. PMC: 7188147. DOI: 10.1093/jamia/ocaa067. View

4.
Hur J, Chang M . Usefulness of an Online Preliminary Questionnaire under the COVID-19 Pandemic. J Med Syst. 2020; 44(7):116. PMC: 7235540. DOI: 10.1007/s10916-020-01586-7. View

5.
Mihalj M, Carrel T, Gregoric I, Andereggen L, Zinn P, Doll D . Telemedicine for preoperative assessment during a COVID-19 pandemic: Recommendations for clinical care. Best Pract Res Clin Anaesthesiol. 2020; 34(2):345-351. PMC: 7255146. DOI: 10.1016/j.bpa.2020.05.001. View