Integration of AI and Wearable Devices for Real-Time Remote Patient Monitoring and Chronic Disease Management

Abstract

Chronic conditions require continuous monitoring and regular intervention for improved patient outcomes and lower burden on healthcare systems. Wearable computing and AI together enable personalized healthcare, real-time remote patient monitoring, and predictive analytics for several medical applications. Objective: This study discusses the achievements, challenges, and future of this integration in management of chronic conditions. With the use of fabricated data relating to patients undergoing monitoring, we consider how these patients can deteriorate or become ill, as they can by their own means – these artificial intelligence methodologies themselves having been energised by the growing base of patients auto-renewable data sets. The paper indicates literature based implications for health care delivery and policy including the ethical framework to be developed along with the required technology infrastructure. We could utilise it moving forward to optimise our personalised care. Wearable devices remote patient monitoring chronic disease management artificial intelligence real time data predictive analytics