论文标题
I-Health：利用边缘计算和区块链进行流行管理
I-Health: Leveraging Edge Computing and Blockchain for Epidemic Management
论文作者
论文摘要
流行病的情况通常要求严格的时间限制内的不同位置/实体的密集数据收集和管理。可以通过利用物联网（IoT）设备的密集和轻松部署来满足这种需求。这种情况的管理和遏制也依赖于跨组织和国家合作。因此，本文提出了一种智能健康（I-Health）系统，旨在通过启用迅速，安全的交换和医疗数据存储来汇总独特的国家医疗保健系统中的各种电子健康实体。特别是，我们在边缘设计了一个自动化的患者监测计划，该计划可以及时发现，远程监控和对重大医疗事件（例如新兴流行病）的快速应急响应。此外，我们开发了一个区块链优化模型，旨在优化不同卫生实体之间的医疗数据共享，以提供有效且安全的健康服务。最后，我们在适应不同的关键事件的同时，展示了系统的有效性，同时强调了拟议的I-Health系统的好处。
Epidemic situations typically demand intensive data collection and management from different locations/entities within a strict time constraint. Such demand can be fulfilled by leveraging the intensive and easy deployment of the Internet of Things (IoT) devices. The management and containment of such situations also rely on cross-organizational and national collaboration. Thus, this paper proposes an Intelligent-Health (I-Health) system that aims to aggregate diverse e-health entities in a unique national healthcare system by enabling swift, secure exchange and storage of medical data. In particular, we design an automated patients monitoring scheme, at the edge, which enables the prompt discovery, remote monitoring, and fast emergency response for critical medical events, such as emerging epidemics. Furthermore, we develop a blockchain optimization model that aims to optimize medical data sharing between different health entities to provide effective and secure health services. Finally, we show the effectiveness of our system, in adapting to different critical events, while highlighting the benefits of the proposed I-Health system.
