利用移动边缘计算和 5G 加强患者医疗保健:安全在线医疗工具面临的挑战和解决方案

Yazeed Yasin Ghadi, Syed Faisal Abbas Shah, Tehseen Mazhar, Tariq Shahzad, Khmaies Ouahada, Habib Hamam
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引用次数: 0

摘要

以患者为中心的医疗保健应用对患者非常重要,因为它们具有一系列优势,能够增加价值并改善整体医疗保健体验。5G 网络和移动边缘计算 (MEC) 可以极大地改变医疗保健应用,进而改善患者护理。MEC 通过将计算资源引入网络边缘,在患者医疗保健方面发挥着重要作用。它成为医疗保健领域物联网系统的一部分,使数据更接近核心,加快决策速度,降低延迟,并提高整体护理质量。虽然使用 MEC 和 5G 网络有利于医疗保健目的,但要将这对技术有效引入医疗保健领域,还需要解决一些问题和困难。区块链技术可以帮助克服的关键问题之一,就是 MEC 在实现涉及物联网医疗设备的最有潜力的应用方面所面临的挑战。本文对基于物联网的医疗设备进行了全面的文献综述,这些设备可为患者提供实时解决方案,并讨论了 MEC 和 5G 在医疗行业做出的一些重大贡献。本文还讨论了 5G 和 MEC 网络在物联网医疗设备领域的一些局限性,尤其是在分散计算解决方案领域。因此,本文的读者群不仅包括研究人员,还包括研究生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing patient healthcare with mobile edge computing and 5G: challenges and solutions for secure online health tools
Patient-focused healthcare applications are important to patients because they offer a range of advantages that add value and improve the overall healthcare experience. The 5G networks, along with Mobile Edge Computing (MEC), can greatly transform healthcare applications, which in turn improves patient care. MEC plays an important role in the healthcare of patients by bringing computing resources to the edge of the network. It becomes part of an IoT system within healthcare that brings data closer to the core, speeds up decision-making, lowers latency, and improves the overall quality of care. While the usage of MEC and 5G networks is beneficial for healthcare purposes, there are some issues and difficulties that should be solved for the efficient introduction of this technological pair into healthcare. One of the critical issues that blockchain technology can help to overcome is the challenge faced by MEC in realizing the most potential applications involving IoT medical devices. This article presents a comprehensive literature review on IoT-based healthcare devices, which provide real-time solutions to patients, and discusses some major contributions made by MEC and 5G in the healthcare industry. The paper also discusses some of the limitations that 5G and MEC networks have in the IoT medical devices area, especially in the field of decentralized computing solutions. For this reason, the readership intended for this article is not only researchers but also graduate students.
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