Nov 13: Boosting Revenue Integrity & Reimbursement with AI

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.
Sponsored by: Xsolis