Since patient health could be tracked continuously and monitored in real-time, remote patient monitoring (RPM) is now changed by the incorporation of Internet of Things (IoT) technologies into wearable devices and devices. IoT wearables capture various physiological signals, such as heart rate, activity, glucose levels, sleep, and transmit this information to cloud-based applications that analyze it. By using machine learning and predictive analytics, clinicians will be able to leverage the insights to make pure actionable information about proactive interventions to reduce hospital admissions and improve the management of chronic diseases. Additionally, the wearable devices enhance patient engagement, providing them with personalized feedback, and promoting self-management, which contributes to patient-centred care models. Although these benefits exist, issues of data security, interoperability, and ethics have to be resolved in order to facilitate safe and successful implementation. This paper is a review of the recent developments in the field of IoT and wearables in relation to RPM, their clinical implementation, and ways to go around the barriers to implementing these emerging technologies in clinical settings. The results highlight the opportunities of these convergent technologies to improve healthcare delivery, streamline patient interaction, and enable sustainable and scalable health systems in the digital age.
T Swathi (Fri,) studied this question.