AI-Enabled Real-Time Health Monitoring for Elderly Care: A Smart Solutions Approach

Authors- Prabhu Prasad

Abstract--As the global population ages, the demand for effective healthcare solutions for the elderly continues to rise. Traditional healthcare systems often struggle to provide personalized, real-time care for aging individuals, leading to increased healthcare costs and burdens on caregivers. Artificial Intelligence (AI), particularly in the form of real-time health monitoring systems, offers a promising solution to address these challenges. By leveraging AI technologies such as machine learning, wearables, and Internet of Things (IoT) devices, healthcare providers can monitor the health of elderly patients in real-time, detect health issues early, and provide personalized care recommendations. This paper explores the role of AI-enabled real-time health monitoring systems in elderly care, focusing on their applications in chronic disease management, fall detection, medication adherence, and overall health management. Furthermore, it discusses the benefits, challenges, and future directions of AI in elderly care, emphasizing the importance of collaboration between healthcare providers, technology developers, and policymakers.

DOI: /10.61463/ijset.vol.13.issue2.369