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On Demand: Leveraging Analytics to Drive Clinical ...
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The document discusses leveraging analytics to drive clinical and operational strategies for ventricular tachycardia (VT), heart failure therapy, and lead management in cardiac electrophysiology. It highlights initiatives like automating patient identification for advanced heart failure therapy and lead management using operational databases and analytic capabilities. The program aims to identify patients benefiting from specific treatments like the Barostim implant in heart failure therapy. Through PaceMate data queries and electronic health records, patients are identified and selected for such therapies. The document also mentions outcomes from using Barostim therapy and the potential increase in Medicare reimbursement for related procedures. Moreover, it emphasizes the use of data analytics, like PaceMate, for patient selection and program success in managing ventricular arrhythmias and lead malfunctions in cardiovascular patients. The focus is on improving patient outcomes, reducing mortality, and optimizing lead management strategies. The document encourages leveraging data to identify patients for device-based heart failure treatments as a standard practice and emphasizes on continuous improvement in program strategies and patient care quality through longitudinal assessments and benchmarking.
Keywords
analytics
clinical strategies
operational strategies
ventricular tachycardia
heart failure therapy
lead management
cardiac electrophysiology
Barostim implant
PaceMate data queries
Medicare reimbursement
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