Artificial Intelligence Chronic Disease Management System Based on Medical Resource Perception

Chronic diseases have the characteristics of high morbidity, low awareness, and high disability and fatalities, which have a huge impact on human health. How to optimize chronic disease management through existing technologies is a worthy research direction. This article takes chronic disease management as the research object, and designs an artificial intelligence chronic disease management system based on medical resource perception by combining technologies such as Artificial Intelligence (AI), user portrait, and Knowledge Graph (KG). Supported by multi-dimensional medical big data, through multi-party linkage, the functions of patient-oriented risk assessment, hierarchical diagnosis and treatment, and diagnosis and treatment decision assistance for medical workers and follow-up planning assistance are realized. The project achieved 60,243 patient-time management of chronic disease patients through cooperation with a tertiary grade A hospital in Nanjing, and the drug compliance of chronic disease patients was 94.5%. Practice results demonstrate that the system can promote the efficient and orderly operation of the chronic disease management ecology.