Agent-Based Web Healthcare Systems for Real-Time Chronic Disease

The increasing trends in the occurrence of chronic diseases, such as diabetes and hypertension, and an aging population present serious near-term problems in providing suitable healthcare within the existing medical structure. Further, ill and elderly patients experiencing mobility and transportation issues are at risk in obtaining both regular and emergency medical treatment. Mobile health monitoring systems can provide 24/7 health-care services and address these anticipated problems. However, the large number of patients and their related data cannot be efficiently processed with current systems and an efficient processing approach is needed for real-time response requirements for critical health situations. This paper proposes an efficient real-time Knowledge Base architecture for agent-based web Health Care Center (HCC) patient monitoring system for chronic disease management. The proposed system uses Case Based Reasoning (CBR) to improve diagnostic knowledge and is implemented in a diabetes monitoring and management system. An evaluation of the system's performance is presented for evaluation and comparison to current technologies.