AI-Driven Remote Monitoring Systems for Chronic Disease Management: A New Frontier in Digital Health
Keywords:
AI in healthcare, Remote monitoring, Chronic disease management, Predictive analytics, Telehealth, Machine learning, IoT, Digital health innovation.Abstract
Chronic diseases such as diabetes, cardiovascular disorders, and respiratory illnesses represent a major burden on global healthcare systems. Traditional care models often fail to provide continuous patient monitoring, leading to delayed interventions and increased hospitalization rates. The integration of Artificial Intelligence (AI) with remote health monitoring technologies has revolutionized the approach to chronic disease management. This paper explores the development, implementation, and efficacy of AI-driven
telemonitoring systems that enable real-time data collection, predictive analytics, and personalized care. Through a combination of literature analysis and case study evaluation, this research highlights the transformative role of AI in enhancing clinical decision-making, improving patient adherence, and reducing healthcare costs. The paper concludes with practical recommendations
for healthcare providers and policymakers to ensure equitable adoption of AI driven telehealth solutions.
