Abstract: Objective: To evaluate the application effect of intelligent self-management system in patients with Chronic Heart Failure (CHF), so as to provide a theoretical basis for precision self-management in these patients. Methods: We developed an intelligent self-management system. We used convenience sampling method to select CHF patients, patients admitted to a tertiary grade A general hospital in Beijing from October 2023 to June 2024 were divided into control group and intervention group according to their different wards. The control group (91 cases) received routine health education, while intervention group (102 cases) received routine health education combined with intelligent self-management system, including digital health management during hospitalization, personalized health education knowledge push, self-management data upload and monitoring warning, incentive mechanism and compliance promotion, and follow-up arrangements. The differences in relevant evaluation indicators between two groups of patients at 3 months and 6 months after discharge were compared. Results: After 6 months of intervention, the intervention group had better self-care ability, knowledge level of heart failure, and quality of life at 3 months and 6 months after discharge than the control group. The intervention group had better cardiac function grading than the control group at 6 months after discharge, with a readmission rate of 12.7%, which was lower than the control group's 24.2%. The differences were all statistically significant (P<0.05). Conclusion: The application of intelligent self-management system can effectively improve the self-care ability and knowledge level of heart failure, enhance the cardiac function and quality of life, reduce the readmission rate, and promote long-term prognosis in patients with CHF.

Key words: intelligent; self-management; Chronic Heart Failure; health education