nt (cloud, AI, sensors, IoT, and SO forth) need to be revised regularly to prevent privacy gaps in their development. Platforms and equipment [30]. A key pillar of smart healthcare is expected to be machine-to-machine (M2M) con- nectivity over 5G networks and the IoT [31]. The proposed strategy faces two major obstacles [32]. The first is that many terminals have established ultra-dense networks (for example, around 106 connections per square kilometer). The solutions needed to solve ultra-dense and scalability issues are suitable for IoT and M2M applications [33]. The second obstacle is that energy consumption based on the IoT depends on the application of the wireless sensor network, for example, the minimum battery life required under certain circumstances is 10 years [34]. Research on 5G deployment and commercialization began in 2014 and is expected to be completed by 2020 [35]. In addition to densifying networks and supporting a large number of IoT devices, 5G networks are expected to offer higher data rates. 5G networks not only have high data rates, but also other requirements such as large-scale connectivity, high-density Network Technology Trends for Smart Healthcare TABLE 4.1 5G Onsite-Enabled Use Cases in Smart Healthcare System Reliability & Use Case Latency Bandwidth Mobility Security Capacity Connected Ambulance HD virtual consultations Remote patient monitoring Video-enabled medication adherence AR/VR assistance for the blind Distraction and rehabilitative therapy Remote expert for collaboration therapy AR/VR for training and education Real time high throughput computation Video analytics for behavioral recognition deployment, reliability, low latency, high energy efficiency, and long-distance commu- nication to support IoT-based activity. They are designed to be flexible and versatile to support new applications in need smart healthcare applications. This is the world of 5G broadband technology. Built-in processing intelligence allows you to manage your smart healthcare data SO efficiently that it