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Mobile Medical Data Synchronization on Cloud-Powered Middleware Platform

机译:基于云的中间件平台上的移动医疗数据同步

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Our research focuses on supporting patients (persons with mild hemophilia) to self-manage injuries in cases of minor incidents. This involves bi-directional exchanges of the Electronic Health Record (EHR) between patients and the care facility. However, mobile devices rely on wireless communication channels (e.g., Wi-Fi, 3.5/4G, etc.) to transmit data and these channels can experience sporadic disconnections due to bandwidth fluctuations and user mobility. As a result, the collected medical data may not be transmitted back to the Health Information system (HIS) in soft-real time. Further, when new updates are submitted by the patients who are disconnected (remote and offline), synchronization can fail; leading to decision-making based on outdated or incomplete information. In this work, we focus on how to ensure efficient synchronization of the EHR in unreliable mobile environments. This work took advantage of the ubiquitous nature of mobile cloud computing and proposes a middleware, which facilitates efficient process of medical data synchronization, and with minimal latency. The work details state-of-the-art architecture of the cloud-based middleware that is built and tested for real-world use following four methodologies namely: reflective, tuple space, context-awareness, and event-based.
机译:我们的研究重点是在轻微事件中支持患者(轻度血友病患者)自我管理伤害。这涉及患者和护理机构之间的电子健康记录(EHR)双向交换。然而,移动设备依靠无线通信信道(例如,Wi-Fi,3.5 / 4G等)来传输数据,并且由于带宽波动和用户移动性,这些信道可能会偶发断开连接。结果,所收集的医学数据可能不会被实时地发送回健康信息系统(HIS)。此外,当断开连接的患者(远程和脱机)提交新的更新时,同步可能会失败;导致根据过时或不完整的信息进行决策。在这项工作中,我们专注于如何在不可靠的移动环境中确保EHR的高效同步。这项工作利用了移动云计算无处不在的优势,并提出了一种中间件,该中间件可促进医疗数据同步的高效过程,并且延迟最小。该工作详细介绍了基于云的中间件的最新体系结构,该体系结构通过以下四种方法进行构建并经过实际测试,以供实际使用:反射,元组空间,上下文感知和基于事件。

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