The applicability of blockchain technology in healthcare contexts to contain COVID-19 challenges

Author:

Hasan Mohammad RaihanulORCID,Deng ShimingORCID,Sultana NeegarORCID,Hossain Muhammed ZakirORCID

Abstract

PurposeBlockchain technology, a key feature of the fourth industrial revolution, is receiving widespread attention and exploration around the world. Taking the coronavirus pandemic as an example, the purpose of this study to examine the application of blockchain technology from the perspective of epidemic prevention and control.Design/methodology/approachExploring multiple case studies in the Chinese context at various stages of deployment, this study documents a framework about how some of the major challenges associated with COVID-19 can be alleviated by leveraging blockchain technology.FindingsThe case studies and framework presented herein show that utilization of blockchain acts as an enabler to facilitate the containment of several COVID-19 challenges. These challenges include the following: complications associated with medical data sharing; breaches of patients' data privacy; absence of real-time monitoring tools; counterfeit medical products and non-credible suppliers; fallacious insurance claims; overly long insurance claim processes; misappropriations of funds; and misinformation, rumors and fake news.Originality/valueBlockchain is ushering in a new era of innovation that will lay the foundation for a new paradigm in health care. As there are currently insufficient studies pertaining to real-life case studies of blockchain and COVID-19 interaction, this study adds to the literature on the role of blockchain technology in epidemic control and prevention.

Publisher

Emerald

Subject

Library and Information Sciences,Information Systems

Reference79 articles.

1. MedRec: using blockchain for medical data access and permission management,2016

2. Effects of misinformation on COVID-19 individual responses and recommendations for resilience of disastrous consequences of misinformation;Progress in Disaster Science,2020

3. Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study;The Lancet Infectious Diseases,2020

4. Social solidarity amid the COVID-19 outbreak: fundraising campaigns and donors' attitudes;International Journal of Sociology and Social Policy,2020

5. CBINSIGHTS (2020), “State of healthcare Q1'20 report: investment & sector trends to watch”, available at: https://www.cbinsights.com/research/report/healthcare-trends-q1-2020/ (accessed 5 June 2020).

Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3