AI-Enabled Real-Time Health Monitoring for Elderly Care: A Smart Solutions Approach
Year: 2025
Type: article
Abstract: As the global population ages, the demand for effective healthcare solutions for the elderly continues torise. 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 formof real-time health monitoring systems, offers a promising solution to address these challenges. By leveraging AItechnologies such as machine learning, wearables, and Internet of Things (IoT) devices, healthcare providers canmonitor the health of elderly patients in real-time, detect health issues early, and provide personalized carerecommendations. 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 overallhealth 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, andpolicymakers.
Author: Researchscholar
Language: English
Topic: Internet of Things and AI
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949898468
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