Receive our The RADNAV® Advantage: AI-Enabled Pay-for-Performance Success White Paper
Healthcare is moving rapidly toward performance-based reimbursement, where quality, timeliness, and patient experience directly influence payment. Payers and hospital partners increasingly reward provider organizations that can prove performance improvement through reliable, repeatable reporting. Yet many organizations remain underprepared to participate fully because the underlying operational challenge persists: performance programs require timely data, consistent workflows, and auditable documentation – all at scale.
This is where follow-up care becomes a strategic lever.
Across healthcare, a significant portion of patients who receive follow-up recommendations never complete them. The downstream consequences are substantial: higher clinical risk, avoidable ED utilization, late-stage disease identification, patient dissatisfaction, and revenue leakage. Historically, closing these gaps has been labor intensive and inconsistent – placing an unsustainable burden on clinical and administrative teams.
AI changes the equation, and RADNAV®, ImagineSoftware’s AI-driven follow-up care coordination technology was built specifically to operationalize this transformation. By identifying follow-up recommendations at scale, automating patient and provider communication, and producing defensible analytics and reporting, RADNAV enables organizations to convert care gap closure into measurable performance improvement that supports pay-for-performance contracting.
This white paper outlines:
- Why performance-based reimbursement is accelerating
- Why follow-up completion is one of the highest-impact, most underutilized performance levers
- How RADNAV enables organizations to close care gaps, improve outcomes, and unlock new revenue streams
- A practical blueprint to launch pay-for-performance programs using a Pay-for-Performance Readiness Checklist
