Gain an at-a-glance, near real-time view of quality of care and its impact.
The application dashboard visualizes outcome and process metrics in an easy-to-consume, one-page summary. This allows you to see trends as they develop—and take timely action to address issues. The Risk Stratification Dashboard presents daily reports showing each patient’s risk of returning so you can provide appropriate interventions to prevent readmission.
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. Instead of spending months building the cohort of heart failure patients or debating definitions of heart failure severity, your teams can quickly begin improvement work. (Note that in cases where necessary data is not available discretely, acquiring this element may be the focus of early work with the application.) What’s more, the work is scalable: you have only one source of truth to maintain as definitions change.
Drive focus on what matters most.
Outcome metrics typically include mortality, readmission rate, LOS, and cost per case. Typical process metrics include documentation of ejection fraction and compliance with care protocols related to GDMT and care transitions. The result? Your team understands the priorities and can help solve problems that stand in the way of improvement.
Access and share insights.
Detailed analytics of each bundle provide dynamic data exploration, real-time filtering, and drill-down to patient-level detail. A Comorbidities tab enriches understanding of the patient and the appropriateness of the care they receive. The application also provides export and print capability for patient list, metric performance, etc. so you can share and follow up.
Continually refine your ability to recognize risk and improve treatment.
For organizations implementing the Heart Failure Analytic Accelerator with machine learning and closed-loop capabilities, these capabilities will drive: Stratified risk based on population-specific variables and optimized care process algorithms. LOS and readmission prediction for your heart failure patients.