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OBJECTIVES: This study aimed to develop and evaluate an Intelligent Empowerment Education-based System (IEES), which integrates empowerment education, refined management protocols, and smart technologies, for application among gout patients in resource-limited suburban settings. The primary goal was to address key challenges including suboptimal self-management capacity, poor treatment adherence, and unfavorable long-term clinical outcomes. METHODS: A smart gout management system was developed using a SpringBoot+Vue framework, incorporating deep learning algorithms for personalized recommendations. A total of 90 gout patients admitted to a community health service center from January 2023 to December 2023 were randomly divided into a control group (n = 45) and an observation group (n = 45) according to a random number table. The control group received routine outpatient health education, while the observation group received an additional intervention based on empowerment education combined with refined management. RESULTS: The system was successfully developed with key performance indicators including response time <200 ms and prediction accuracy of 89.7%. The self-management ability score of the observation group was (145.6 ± 4.5), significantly higher than that of the control group (p < 0.05). The fasting serum uric acid (SUA) value of the observation, and the liver and kidney function were significantly lower than those of the control group (p < 0.05). CONCLUSION: The intelligent empowerment education disease management system significantly improved SUA control, self-management ability, and renal function in suburban gout patients. This "Internet+" chronic disease management model demonstrates promise for scalable application.