Abstract: Objective To investigate the management effect of an intelligent health education model in patients with hypertension and chronic kidney disease (CKD). Methods From January 2021 to January 2023, a total of 680 patients diagnosed with hypertension and CKD at Wuhan Fourth Hospital were enrolled using a blinding scheme of “concealed allocation + blinded statistician”. Patients were randomly divided into a routine group and an intelligent group, with 340 cases in each group. The routine group received conventional health education, while the intelligent group was managed with an intelligent health education model. MySQL database was used for data storage and training, and PHP was applied to script intelligent algorithms for data analysis, model construction, and development. All patients received 6 months of intervention. Renal function, blood pressure, blood lipid, quality of life, disease coping ability, and disease awareness rate were compared before and after intervention between the two groups. Intervention completion rate, blood pressure control rate, satisfaction, and medication compliance after intervention were also evaluated. Multivariate stepwise logistic regression was used to analyze factors influencing blood pressure control in patients with hypertension and CKD. Results After 6 months of intervention, 3 patients in the routine group and 1 patient in the intelligent group were lost to follow-up; only patients who completed the full intervention and follow-up were included in the analysis. There was no significant difference in intervention completion rate between the two groups intelligent group: 339 cases (88.5%), routine group: 337 cases (89.1%), χ²=0.33, P=0.565. The intelligent group had a higher blood pressure control rate 293 cases (86.4%) vs 247 cases (73.2%), χ²=18.510, P＜0.001, higher satisfaction score (27.43±1.45 vs 22.97±1.30, t=42.229, P＜0.001), and higher medication adherence score (6.76±0.33 vs 5.22±1.04, t=18.403, P＜0.001) than the routine group. Compared with baseline, both groups showed significant increases in estimated glomerular filtration rate (eGFR), high-density lipoprotein cholesterol (HDL-C), scores of social function, physical function, bodily pain, physical role functioning, vitality, general health, mental health, emotional role functioning, confrontation score, and disease awareness rate (all P＜0.05), as well as significant decreases in serum creatinine, urea nitrogen, uric acid, blood pressure, 24-hour urinary albumin excretion rate, total cholesterol, triglyceride, low-density lipoprotein cholesterol (LDL-C), resignation, and avoidance scores (all P＜0.05). Improvements were significantly more pronounced in the intelligent group than in the routine group (all P＜0.05). Logistic regression showed that the intelligent model (OR=0.351, 95%CI: 0.220-0.558, P＜0.001), two drug combination(OR=0.487, 95%CI: 0.323-0.735, P=0.001), three drug combination (OR=0.286, 95%CI: 0.164-0.497, P＜0.001), four drug combination (OR=0.216, 95%CI: 0.080-0.589, P=0.003), exercise 1-2 times per week (OR=0.599, 95%CI: 0.388-0.926, P=0.021), and exercise ≥ 3 times per week(OR=0.375, 95%CI: 0.219-0.645, P＜0.001) were protective factors for achieving blood pressure control in patients with hypertension and CKD. Conclusion The intelligent model management can improve therapeutic outcomes in patients with hypertension and CKD and serves as a protective factor for blood pressure control.