Accelerator Overview

The Diabetes – Adult Analytic Accelerator supports improved evaluation and management of patients with—or at risk for—type 2 diabetes. Typical implementations focus on early identification of diabetes and diabetes risk, improved patient engagement, and medication optimization. Improvement in these areas of focus can yield substantial short- and long-term clinical and financial improvements.

Organizations typically choose to focus on diabetes for these reasons:

  • Diabetes mellitus is a major public health issue, with high—and rising—prevalence . More than 30 million people in the U.S. have diabetes, and an additional 84 million have prediabetes. A recent study projects that 40% of American adults can be expected to develop diabetes during their lifetimes.
  • Management is complex. Diabetes is a chronic illness that requires lifelong medical care using multifactorial risk reduction strategies. Although significant evidence supports a range of interventions to improve diabetes outcomes, management—which includes ongoing monitoring, adjustments to treatment, coordination of care, and promotion of patient self-care—is often challenging and resource intensive. Wide variation in quality of diabetes care across providers and across practice settings (even after adjusting for patient factors) suggests that there remains potential for substantial system-level improvements in diabetes care.
  • Diabetes presents a considerable burden. Typically, a progressive condition, diabetes diminishes patient quality of life. Diabetes also presents an enormous financial burden—both for patients and for healthcare systems.

Benefits and Features

Start faster with meaningful, scalable clinical definitions.

The cohorts, definitions, and process measures that come with the accelerator are clinically relevant, standard, and meaningful across domains, ready for customization or adoption in your organization. Organizations are able to look at patients’ demographic information, medication history, and clinical features—not just administrative codes (e.g., ICD, CPT codes)—to precisely identify cohorts of patients with diabetes and at risk for diabetes.

Identify improvement opportunities and focus on what matters most.

The application provides summary views of performance in key areas to help teams and leaders review the variation in care and its impact on patients. Detailed analytics provide dynamic data exploration, real-time filtering, and drill-down to patient-level detail for additional insight. Outcome metrics typically include clinical control measures (HbA1c, LDL, BP), cardiovascular events and other diabetes complications, ED and hospital utilization rate, per-member-per-month costs, and health-related quality of life (HRQOL). Typical process metrics include documentation of diabetes risk factors, adherence to diabetes screening protocols, patient participation in education and smoking cessation, and adherence to best practice guidelines for medical management of diabetes. Users can generate reports and worklists for additional sharing and patient follow up. The result? Your team understands the priorities and can help solve problems that stand in the way of improvement.