Enhancing Patient Monitoring Accuracy through Sensor Network Technologies

Authors- Heena Mehta, Assistant Professor Rohtak

Abstract--RPM has evolved into a game-changing strategy for healthcare that enhances both the experience and the outcomes for patients. This is made possible by the Internet of Things (IoT), which brings about these improvements. This study takes into account newly developed RPM systems that are based on the internet of things (IoT). These systems make it possible to monitor patient health indicators in real time even in clinical situations that are not traditionally considered to be clinical. In order to deliver individualized treatment plans, proactive health monitoring, and prompt treatments, these systems are able to integrate sensors that are connected to the Internet of Things (IoT), wearable technologies, and data analytics. This piece discusses the most recent developments in the field of Internet of Things technology. Intelligent sensors that monitor vital signs, technology that allow for wireless connectivity, and intricate data processing techniques are all components of this. A number of issues that are associated with RPM that is based on the Internet of Things are addressed by this solution. These include patient engagement, data security, and system interoperability. The purpose of this study is to assess the efficacy of RPM in treating chronic illnesses, increasing medication adherence, and reducing hospital readmissions. This is accomplished by examining prior studies and analyzing situations taking place in the real world. The results illustrate how developments in the Internet of Things (IoT) may have an impact on the delivery of healthcare by demonstrating how continuous, patient-centered therapy may lead to improved health outcomes.

DOI: /10.61463/ijset.vol.13.issue3.163