Specific Aim 1 We will develop software to calculate the estimated glomerular filtration rates for all patients presenting to primary care physicians randomized to the intervention arm, and identify patients with an estimated glomerular filtration rates in the range of 30 to 59. We will create three electronic alerts that intervention clinicians will receive upon accessing the patient chart based on whether the patient is high risk or low risk. These alerts will focus on recommending overdue laboratory tests (urine protein, blood cholesterol, etc), as well as recommending guideline appropriate medications (ACE inhibitors), and nephrology referral when appropriate.