Boosting Revenue Integrity & Reimbursement with AI

On Demand Webinar

Revenue cycle leaders understand what happens in terms of how care delivered at the bedside impacts their bottom line. Payment for healthcare services starts with a claim that details what type of care the patient received and the amount charged for these services. From there, the claim is typically sent to the patient’s health plan for reimbursement. However, there is typically back and forth between provider and payer for justification, additional detail and the reasons for care decisions that were made based on changing patient acuity, which is a key area of ongoing friction. Leading healthcare organizations are leveraging Al for predictive analytics to proactively ensure appropriate reimbursement. Discover how objective, Al-driven insights can strategically align revenue cycle and utilization review teams to reduce underpayments and avoidable denials while improving collaboration with health plans.

Original Live Webinar Date: November 13, 2025

Learning Objectives

• Create efficiencies and improve patient status accuracy from bedside to final payment leveraging Al
• Leverage objective Al to enhance revenue integrity and denial reporting to improve internal and external collaboration
• Establish automation and workflows that reduce manual rework gaining visibility into missed inpatient reimbursements and level-of-care denials
• Prioritize denials and appeals utilizing objective Al-driven insights
• Improve health plan relationships and reduce friction to benefit revenue cycle and reimbursement processes

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