Design and Application of Reasoning Model for Digital Health Prescription System of Anemia Population

With the advent of the era of big data and artificial intelligence, data science is playing an increasingly prominent role in the field of public health. This study focused on a large group of anemia patients, In China, about 80% of patients with mild anemia and 50% of patients with extremely severe anemia do not receive effective intervention. This study made full use of data science technology and integrated multi-source data such as field investigation, literature review and expert consultation, designed the overall framework of the smart health prescription system for the four-level warning division and eight types of health prescriptions for anemia patients, and carried out pilot application in anemia patients. The system provides anemia patients with multi-level disease risk warning, individualized guidance, whole-process health management intervention and other services. From the perspective of primary health services, the system provides knowledge-assisted application tools for the improvement of health management quality of anemia patients, which will provide a reference example for chronic disease management and intelligent prevention and treatment system in the field of public health, promote the deep integration of public health and data science, and help promote the development of public health.