This article describes a quality improvement project to reduce the number of patients with diabetes who have poor glycemic control in a large tertiary care endocrinology clinic. The project used the Lean Six Sigma Define-Measure-Analyze-Improve-Control process improvement methodology to develop clinic workflow processes for obtaining A1C measurements in a timely manner to facilitate interventions to improve glycemic control. The percentage of patients with poorly controlled diabetes (A1C >9.0% or missing value in the past 12 months) significantly improved from 26.4% at baseline to 16% (P <0.001), and the proportion of patients with an A1C test within 3–6 months of an appointment improved from 76 to 92%.

Diabetic retinopathy, a complication of diabetes mellitus (DM), is the leading cause of blindness in the United States. Early detection and appropriate timely treatment would result in 50–70% reduction in blindness due to DM, with a positive economic impact on patients and the healthcare system. The purpose of our project is to improve screening rates for retinopathy among patients with DM seen in a large endocrinology clinic applying the Lean Six Sigma Define, Measure, Analyze, Improve, and Control project framework and clinical decision support tools embedded in the electronic health record (EHR). Retinopathy screening rates improved from 49% to 72% by the end of the project. Interventions included identifying care gaps using a population registry, patient outreach through the electronic medical record patient portal, placing referrals to ophthalmology, improving documentation in health maintenance, and tracking improvement for sustainability. Our results demonstrate that process improvement methodologies and EHR tools can be successfully applied to improve care and clinical outcomes in patients with DM.

Depression is a common and serious illness that impairs the health of individuals and societies globally. It is associated with a significant economic burden, with productivity losses exceeding $40 billion dollars annually in the United States (U.S.) alone. This project focused on the use of a systematic, data-driven approach to improve the screening rate for depression in an academic, metropolitan cancer center located in North Texas. A multidisciplinary team collaboratively applied Lean Six Sigma education, methods, and tools within oncology and psychiatry clinics to address the increased risk of depression among oncology patients. Improving the standardization of screening and follow-up processes, resulted in a 44% sustained increase in the depression screening and follow-up performance rate. This improvement was verified to be statistically significant through the use of control charts toward the end of the project.