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Accelerator Overview

The VTE Prevention Analytic Accelerator supports a disciplined, data-driven approach to efforts to lower VTE rates and improve clinical and financial outcomes such as hospital length of stay (LOS), readmissions, and costs. Typical implementations focus on VTE risk assessment and stratification, adherence to best practices for VTE prophylaxis, and ensuring appropriate prophylaxis across transitions of care.

Organizations typically choose to focus on VTE prevention for these reasons:

  • VTE is a common cause of hospital harm. Of the 2 million Americans who suffer from VTE each year, half develop the problem in the hospital or within 30 days of hospitalization.
  • VTE results in high morbidity and mortality. VTE is responsible for more deaths than breast cancer, AIDs, and traffic accidents combined. Pulmonary embolism (PE) resulting from deep vein thrombosis (DVT) (collectively referred to as VTE) is the most common preventable cause of hospital death.
  • Costs associated with DVT and PE are considerable—and unreimbursable. Costs per case for treatment and increased length of stay (LOS) for DVT and PE significantly increase cost-per-case. Hospitals incur additional costs if penalized through the CMS Hospital-Acquired Condition (HAC) Reduction Program.
  • Effective, safe, and cost-effective measures exist—but are underutilized. Pharmacological and mechanical prophylaxis significantly reduce VTE occurrence, but may not be consistently utilized, especially when patients transition through different care settings.

Benefits and Features

Focus your team on what matters most.

The application provides at-a-glance views of outcomes and the care practices that drive them. Outcome metrics typically include VTE rate, VTE-related readmissions, length of stay (LOS), and cost-per-case. Typical process metrics visualized by the application include documentation of VTE risk on admission, compliance with appropriate prophylaxis, and effective care transitions. The result? Your team understands the priorities, focuses on reducing variation, and can solve problems that stand in the way of improvement.

Do more than monitor: understand.

Detailed analytics provide dynamic data exploration, real-time filtering, and drill-down to patient-level detail. A Compare tab lets you review patient and care variables—demographics, variation in care, performance in different units, etc.—to determine what’s working and not working to improve outcomes. This feature also allows you to gauge the ROI of improvement work in particular areas: what could you achieve if every unit and provider standardized to match your best performance?