Open Access iconOpen Access

ARTICLE

crossmark

Tele-COVID: A Telemedicine SOA-Based Architectural Design for COVID-19 Patients

Asadullah Shaikh*, Mana Saleh AlReshan, Yousef Asiri, Adel Sulaiman, Hani Alshahrani

Department of Information Systems, Najran University, Najran, 61441, Saudi Arabia

* Corresponding Author: Asadullah Shaikh. Email: email

(This article belongs to this Special Issue: COVID-19 impacts on Software Engineering industry and research community)

Computers, Materials & Continua 2021, 67(1), 549-576. https://doi.org/10.32604/cmc.2021.014813

Abstract

In Wuhan, China, a novel Corona Virus (COVID-19) was detected in December 2019; it has changed the entire world and to date, the number of diagnosed cases is 38,756,2891 and 1,095,2161 people have died. This happened because a large number of people got affected and there is a lack of hospitals for COVID-19 patients. One of the precautionary measures for COVID-19 patients is isolation. To support this, there is an urgent need for a platform that makes treatment possible from a distance. Telemedicine systems have been drastically increasing in number and size over recent years. This increasing number intensifies the extensive need for telemedicine for the national healthcare system. In this paper, we present Tele-COVID which is a telemedicine application to treat COVID-19 patients from a distance. Tele-COVID is uniquely designed and implemented in Service-Oriented Architecture (SOA) to avoid the problem of interoperability, vendor lock-in, and data interchange. With the help of Tele-COVID, the treatment of patients at a distance is possible without the need for them to visit hospitals; in case of emergency, necessary services can also be provided.

Keywords


Cite This Article

A. Shaikh, M. Saleh AlReshan, Y. Asiri, A. Sulaiman and H. Alshahrani, "Tele-covid: a telemedicine soa-based architectural design for covid-19 patients," Computers, Materials & Continua, vol. 67, no.1, pp. 549–576, 2021. https://doi.org/10.32604/cmc.2021.014813

Citations




cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 3124

    View

  • 1913

    Download

  • 0

    Like

Share Link