【Author】
Jabarulla, Mohamed Yaseen; Lee, Heung-No
【Abstract】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.
【Keywords】digital healthcare; patient-centric; blockchain; artificial intelligence; federated learning; coronavirus (COVID-19); pandemic management; healthcare transformation; public health strategies
【标题】用于对抗 COVID-19 大流行的基于区块链和人工智能的以患者为中心的医疗保健系统：机遇和应用
【摘要】由于 COVID-19（冠状病毒）大流行的出现，世界正面临着多重医疗保健挑战。大流行暴露了使用现有数字医疗技术处理公共医疗紧急情况的局限性。因此，COVID-19 的情况迫使研究机构和国家重新考虑医疗保健提供解决方案，以确保在人们待在家里并保持社交距离时服务的连续性。最近，一些研究人员专注于区块链和人工智能 (AI) 等颠覆性技术，以改善 COVID-19 期间的数字医疗工作流程。区块链可以通过实现分散的医疗数据共享、保护用户隐私、提供数据授权以及确保在疫情跟踪期间进行可靠的数据管理来对抗流行病。此外，人工智能通过分析患者由冠状病毒引起的医学图像和症状，提供智能计算机辅助解决方案，以进行有效治疗、未来爆发预测和药物制造。整合区块链和人工智能可以通过民主化和优化临床工作流程来改变现有的医疗保健生态系统。在本文中，我们首先概述 COVID-19 大流行期间出现的数字医疗保健服务和问题。接下来，我们在概念上提出了一个基于区块链和 AI 的去中心化、以患者为中心的医疗保健框架，以缓解 COVID-19 挑战。然后，我们探索了集成区块链和人工智能技术的重要应用，以增强现有的公共医疗保健战略以应对 COVID-19。最后，我们强调了以患者为中心的范式中未来研究的挑战和影响。
【关键词】数字医疗保健；以患者为中心；区块链；人工智能;联邦学习；冠状病毒(COVID-19）;流行病管理；医疗保健转型；公共卫生战略
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