Jabarulla Mohamed Yaseen, Lee Heung-No
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.
Healthcare (Basel). 2021 Aug 8;9(8):1019. doi: 10.3390/healthcare9081019.
The world is facing multiple healthcare challenges because of the emergence of the COVID-19 (coronavirus) pandemic. The pandemic has exposed the limitations of handling public healthcare emergencies using existing digital healthcare technologies. Thus, the COVID-19 situation has forced research institutes and countries to rethink healthcare delivery solutions to ensure continuity of services while people stay at home and practice social distancing. Recently, several researchers have focused on disruptive technologies, such as blockchain and artificial intelligence (AI), to improve the digital healthcare workflow during COVID-19. Blockchain could combat pandemics by enabling decentralized healthcare data sharing, protecting users' privacy, providing data empowerment, and ensuring reliable data management during outbreak tracking. In addition, AI provides intelligent computer-aided solutions by analyzing a patient's medical images and symptoms caused by coronavirus for efficient treatments, future outbreak prediction, and drug manufacturing. Integrating both blockchain and AI could transform the existing healthcare ecosystem by democratizing and optimizing clinical workflows. In this article, we begin with an overview of digital healthcare services and problems that have arisen during the COVID-19 pandemic. Next, we conceptually propose a decentralized, patient-centric healthcare framework based on blockchain and AI to mitigate COVID-19 challenges. Then, we explore the significant applications of integrated blockchain and AI technologies to augment existing public healthcare strategies for tackling COVID-19. Finally, we highlight the challenges and implications for future research within a patient-centric paradigm.
由于新冠疫情(冠状病毒)的出现,世界正面临多重医疗挑战。这场疫情暴露了利用现有数字医疗技术应对公共卫生突发事件的局限性。因此,新冠疫情形势迫使研究机构和各国重新思考医疗服务解决方案,以确保在人们居家并保持社交距离的情况下服务的连续性。最近,一些研究人员聚焦于区块链和人工智能(AI)等颠覆性技术,以改善新冠疫情期间的数字医疗工作流程。区块链可以通过实现分散式医疗数据共享、保护用户隐私、提供数据授权以及在疫情追踪期间确保可靠的数据管理来抗击疫情。此外,人工智能通过分析患者的医学影像和由冠状病毒引起的症状,提供智能计算机辅助解决方案,以实现高效治疗、未来疫情预测和药物制造。将区块链和人工智能结合起来,可以通过使临床工作流程民主化和优化来改变现有的医疗生态系统。在本文中,我们首先概述数字医疗服务以及新冠疫情期间出现的问题。接下来,我们从概念上提出一个基于区块链和人工智能的分散式、以患者为中心的医疗框架,以应对新冠疫情挑战。然后,我们探讨区块链和人工智能集成技术的重要应用,以增强现有的应对新冠疫情的公共卫生策略。最后,我们强调在以患者为中心的范式下未来研究面临的挑战和影响。