IoT and Chronic Disease Management
Keywords:
IoT, chronic disease management, diabetes, hypertension, asthma, predictive analytics, AI, machine learning, cloud computing, healthcare software, real-time monitoring.Abstract
Most of the countries with elderly populations are currently facing chronic diseases. IoT technology offers promising solutions to reduce the burden of chronic illness. Despite its promising results, the literature on IoT for chronic illness management rarely undergoes review. This study examines how IoT can manage chronic diseases in developing countries and ranks them by importance. Additionally, IoT-driven diabetes, hypertension, and asthma management systems use smart sensors, wearables, and cloud computing. This research study illustrates how Python, Django, and Flask backend frameworks offer safe data processing and EHR integration, while C, C++, and Rust embedded systems enable real-time data collecting. IoT allows more efficient, cost-effective, and data-driven chronic illness management solutions using these technologies.
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