Electronic Alert-Based Computerized Decision Support for Detection of Chronic Kidney Disease in Type 2 Diabetes Mellitus: The CKD-DETECT Randomized Trial
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The authors aimed to evaluate the effectiveness of an electronic alert-based computerized decision support (CDS) system in increasing the screening for chronic kidney disease (CKD) through urine albumin-to-creatinine ratio (UACR) testing in patients with type 2 diabetes. The CKD-DETECT trial found that the alert significantly increased UACR testing rates compared to a control group, although it did not result in a notable increase in new CKD diagnoses or referrals to nephrologists. Overall, the study suggests that alert-based CDS can enhance early detection of elevated albuminuria in this patient population.
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