The invention discloses a diabetic patient assessment and management system. The system comprises a patient information collection module, a regression model establishment module, a data processing module, a regression coefficient calculation module, a risk grade assessment module and a follow-up visit setting module. According to the system, risk factors leading to the complication of a patient are found out through Logistic regression analysis, the risk factors are assigned with corresponding scores according to the risk degrees of the risk factors, the symptom of the patient is objectively scored through accumulation of the risk factors, and the degree of the complication risk is judged according to the score accumulation condition, wherein the score changes dynamically along with the change of the patient's condition. Meanwhile, as all data is stored in an internet server, as long as a computer capable of having access to networks is available, a doctor can complete the function anywhere by accessing a website with accessing software.