IoT based Remote Patient Monitoring System

Abstract

Remote Patient Monitoring (RPM) systems have emerged as transformative tools in healthcare, leveraging technological advancements to enhance patient care beyond traditional clinical settings. This abstract explores the design and implementation of a Remote Patient Monitoring System aimed at bridging the gap between patients and healthcare providers. The system employs a network of wearable devices and sensors to continuously collect and transmit relevant patient data to a secure cloud-based platform. Through real- time monitoring, healthcare professionals can remotely assess vital signs, medication adherence, and other crucial health metrics, enabling early intervention and personalized care. The integration of data analytics and machine learning algorithms further enhances the system's ability to detect patterns, predict potential health issues, and optimize treatment plans. This abstract delves into the key features, benefits, and challenges associated with the Remote Patient Monitoring System, emphasizing its potential to revolutionize healthcare delivery by fostering proactive, patient-centered care and improving overall health outcomes.