Remote Patient Monitoring Based on IoT Technologies
Abstract
The rapid advancement of Internet of Things (IoT) technology is revolutionizing traditional healthcare infrastructure, offering innovative solutions, especially in the field of Remote Patient Monitoring (RPM). This article extensively discusses the entire lifecycle of IoT-based RPM systems, including their fundamental principles and architecture, applications, associated technology, challenges, and future scope. According to various studies, not only does this help in the betterment of patient health, but it is also economically viable to the system, helping in the reduction of hospital and overall healthcare expenses. In this article, the importance of RPM in the treatment and monitoring of chronic diseases, its applications in the care and monitoring of elderly patients, and in cardiology and post-operative care have been discussed in detail. But for the widespread adoption of IoT-based RPM, various factors need to be considered, including data security, regulatory issues, and technological synergies. In addition, the importance and future scope of various techniques and technologies, including TinyML, Federated Learning, and Blockchain, have been discussed.
Keywords
remote patient monitoring, IoT, AI, edge computing, federated learning, TinyML, data security, healthcare informatics, wearable technologies, telemedicine