From Wearable Device to OpenEMR: 5G Edge Centered Telemedicine and Decision Support System

Ying Wang, Patricia Tran, Janusz Wojtusiak

Abstract: The Internet of Things (IoT) is developing rapidly, with applications across various fields and industries. In healthcare, wearable devices and the Internet of Medical Things (IoMT) have tremendous potential for improvements in the quality of telemedicine and producing medical insights and discoveries. Massive Machine Type of Communication (mMTC) in 5G further reduces latency and enhances connectivity in supporting wearables and IoMT, which provides a promising infrastructure for telemedicine. Although cloud computing reduced the computation and storage load on wearable devices significantly, the massive amounts of data produced by wearable devices and IoMT introduce challenges for latency and storage in the cloud. Additionally, applications will need to navigate the regulation and compliance laws related to handling sensitive and private health data, adding complexity to the accessibility and distribution of such innovations. This study first examined the current frameworks for wear