VitalCare-IoT: An Integrated Wearable–Gateway–Cloud Architecture with Learning-Based Analytics for Continuous Patient Observation and Health Condition Detection

Abstract

Remote Patient Monitoring (RPM) involves using technology outside traditional healthcare facilities, such as in patients’ homes. This technology allows healthcare providers to gather patient data remotely and track their health immediately. These systems are important for improving patient outcomes, increasing access to care, managing chronic diseases, and providing personalised care cost-effectively. Monitoring patients remotely must be affordable and accessible to everyone. Innovations in technology, including Artificial Intelligence (AI) and the Internet of Things (IoT), are making remote patient monitoring systems a reality. To this end, it has developed a simple yet effective system for monitoring remote patients. This system serves a dual purpose: collecting patient data and using data analytics tools to detect potential diseases. Cloud-based IoT middleware stores the data, which is then analysed using machine learning algorithms to identify possible illnesses. Several algorithms have been proposed for monitoring patients’ vital signs and notifying patients, caregivers, or healthcare professionals. The system features user-friendly mobile and web interfaces for patients, doctors, relatives or caregivers. It can also be integrated with healthcare applications to achieve a cost-effective distant patient observation system.