The CABG analytics accelerator provides data to guide improvement in the perioperative and post-hospital management and care of patients requiring CABG surgery. Typical implementations focus on ensuring readiness for surgery, improving infection prevention, adhering to a “Heart Team” management approach, and adopting standard best practices shown to reduce intraoperative complications.

• Comprehensive view of care quality. Gain a clear view of care quality and its impact with an easy-to-consume, one-page summary of outcome and process metrics. Visualize trends as they emerge and act quickly to address issues. The application highlights the aspects of care targeted for improvement, with outcome metrics such as mortality, readmissions, LOS, complications, and cost-per-case, and process metrics like adherence to readiness‑for‑surgery practices, shared decision-making, proper antibiotic prophylaxis, and blood‑management protocols. The result: your team understands priorities and can focus on removing obstacles to improvement.
• 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 debating the definition of LOS or the parameters for average glucose, your teams can quickly begin improvement work. What’s more, the work is scalable: you have only one source of truth to maintain as definitions change.
• Do more than monitor: understand. 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 or print capability for the patient list, metric performance, etc. so you can share and follow up.
• Compare and contrast. 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?