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<h3>Background and Importance</h3> Chronic kidney disease is a major health problem. When chronic kidney disease progresses to stage 3, the risk of complications affecting various body systems, leading to illness and death. Using technology to assist in medical services, along with multidisciplinary management, will enable comprehensive patient care and slow progression of chronic kidney disease. <h3>Aim and Objectives</h3> To study the effects of clinical alert program and multidisciplinary management to slow progression of chronic kidney disease in patients with type 2 diabetes and hypertension. <h3>Material and Methods</h3> A quasi-experimental study was conducted in 162 patients with diabetes and hypertension and diagnosed with stage 1 to 3 chronic kidney disease. Using clinical alert program for alerting abnormalities of laboratory results related to chronic kidney disease. Data such as general patient information, blood pressure level, laboratory results and drug use were collected from electronic databases and medical records for 6 months prior to the program installation. Data were also collected on the day patients visited the diabetes and hypertension clinic within 6 months after program installation. The subjects were scheduled for blood and urine testing twice, 3 months apart. Program will alert if abnormalities of laboratory results were detected, which was followed by management by multidisciplinary team. <h3>Results</h3> After program implementation, subjects had a significant lower level of blood pressure, HbA1C and LDL (P<0.05). Number of patients using NSAIDs and the number of patients not adjusted for metformin significantly decreased (P<0.05). Glomerulus filtration rate, haemoglobin and the number of patients with negative urinary protein content significantly increased compared to those before the program (P<0.05). However, bicarbonate and potassium levels before and after program were not different. <h3>Conclusion and Relevance</h3> The clinical alert program helps multidisciplinary team identify abnormal patient data and enhance patient care by sends alerts via computer screens, which multidisciplinary team can access. This study different from previous studies in that it provides warnings about various laboratory values, including blood pressure, haemoglobin, haemoglobin A1C, cholesterol, serum potassium and bicarbonate, glomerular filtration rate (GFR), protein content in urine ≥1+, receiving nonsteroidal anti-inflammatory drug, metformin and allopurinol adjusted according to kidney function. Other studies only reported on GFR and adjusted medication according to kidney function. <h3>Conflict of Interest</h3> No conflict of interest