Lakshminarayanan Vishal, Ravikumar Aswathy, Sriraman Harini, Alla Sujatha, Chattu Vijay Kumar
School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, TN, India.
Department of Engineering Management & Systems Engineering, Frank Batten College of Engineering, Old Dominion University, Norfolk, VA, 23529, USA.
J Multidiscip Healthc. 2023 Sep 21;16:2839-2859. doi: 10.2147/JMDH.S419923. eCollection 2023.
Intellectual capital is a scarce resource in the healthcare industry. Making the most of this resource is the first step toward achieving a completely intelligent healthcare system. However, most existing centralized and deep learning-based systems are unable to adapt to the growing volume of global health records and face application issues. To balance the scarcity of healthcare resources, the emerging trend of IoMT (Internet of Medical Things) and edge computing will be very practical and cost-effective. A full examination of the transformational role of intelligent edge computing in the IoMT era to attain health care equity is offered in this research. Intelligent edge computing-aided distribution and collaborative information management is a possible approach for a long-term digital healthcare system. Furthermore, IEC (Intelligent Edge Computing) encourages digital health data to be processed only at the edge, minimizing the amount of information exchanged with central servers/the internet. This significantly increases the privacy of digital health data. Another critical component of a sustainable healthcare system is affordability in digital healthcare. Affordability in digital healthcare is another key component of a sustainable healthcare system. Despite its importance, it has received little attention due to its complexity. In isolated and rural areas where expensive equipment is unavailable, IEC with AR / VR, also known as edge device shadow, can play a significant role in the inexpensive data collection process. Healthcare equity becomes a reality by combining intelligent edge device shadows and edge computing.
智力资本是医疗行业中的稀缺资源。充分利用这一资源是迈向实现完全智能医疗系统的第一步。然而,大多数现有的基于集中式和深度学习的系统无法适应全球健康记录数量的不断增长,并面临应用问题。为了平衡医疗资源的稀缺性,物联网(IoMT)和边缘计算的新兴趋势将非常实用且具有成本效益。本研究全面探讨了智能边缘计算在IoMT时代为实现医疗公平所发挥的变革性作用。智能边缘计算辅助的分布式和协作信息管理是长期数字医疗系统的一种可行方法。此外,智能边缘计算(IEC)鼓励仅在边缘处理数字健康数据,从而减少与中央服务器/互联网交换的信息量。这显著提高了数字健康数据的隐私性。数字医疗的可负担性是可持续医疗系统的另一个关键组成部分。尽管其很重要,但由于其复杂性,它很少受到关注。在没有昂贵设备的偏远和农村地区,结合增强现实/虚拟现实的智能边缘计算(也称为边缘设备影子)可以在低成本数据收集过程中发挥重要作用。通过将智能边缘设备影子与边缘计算相结合,医疗公平得以实现。