AITel: eHealth Augmented-Intelligence-Based Telemedicine Resource Recommendation Framework for IoT Devices in Smart Cities
AITel: eHealth Augmented-Intelligence-Based Telemedicine Resource Recommendation Framework for IoT Devices in Smart Cities
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DOI：
10.1007/978-981-99-6706-3_1
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发表时间：
2023-11-01
影响因子：
10.6
通讯作者：
Kim, Jungyoon
中科院分区：
文献类型：
--
作者：
Ahmed, Syed Thouheed;Kumar, V. Vinoth;Kim, Jungyoon
远程医疗是在基于互联物联网的资源网络基础设施上引入的。随着技术进步和人工智能的发展，该框架已经将控制扩展到了连接远程患者之外。增强智能(AUI)通过与物联网设备和通信渠道的资源管理池进行协调，为当前的远程医疗框架增加价值，以提供可靠的智慧城市企业生态系统。本文提出了一种基于AUI和IoT的远程医疗资源推荐方法。该框架从智慧城市现有的eHealth基础设施和物联网的远程医疗环境中获取数据，提供基于远程医疗服务的智能推荐。建议的框架基于用于电子健康服务的智能企业管理系统(EMS)。拟议的增强智能远程医疗(AITEL)框架假定AUI辅助远程医疗的准确率为94.83%，并将在资源建议方面创建可靠的生态系统，以构建面向远程患者、社区和医疗保健基础设施的弹性医疗系统。
Telemedicine was introduced on connected IoT-based resource networking infrastructure. With technological evolution and artificial intelligence, the framework has expanded the grips beyond connecting remote patients. Augmented intelligence (AuI) adds value to the current telemedicine framework by coordinating with resource management pools of IoT devices and communication channels to provide a reliable enterprise ecosystem of smart cities. In this article, a novel approach for resource recommendation in telemedicine via AuI and IoT is proposed. The framework acquires data from the existing eHealth infrastructure of smart cities and telemedicine environment of IoT to provide an intelligent recommendation based on telemedicine services. The proposed framework is based on a smart enterprise management system (EMS) for eHealth services. The proposed augmented intelligent telemedicine (AITel) framework postulates the 94.83% accuracy from AuI-assisted telemedicine and would create a reliable ecosystem on resource recommendations to build a resilient healthcare system for remote patients, communities, and healthcare infrastructure.