Reinventing the Revenue Cycle with AI, Analytics, and New Benchmarks

Healthcare revenue cycle leaders are confronting a perfect storm: rising denials, declining reimbursement, staff shortages, and sweeping new regulations. Recent federal regulations such as OBBBA raise the stakes by mandating real-time billing, greater price transparency, and streamlined prior authorization — regulatory shifts that require organizations to radically rethink their compliance and workflow strategies.

Traditional revenue cycle metrics like “days in A/R” and “clean claim rate” no longer provide enough insight to manage these pressures. Analysis of millions of insurance claim collection activities shows that 62% of touches in the revenue cycle are wasted and 40% of denials result from pre-registration breakdowns. This hidden administrative waste translates into lost revenue, higher labor costs, and greater compliance risk under OBBBA’s tighter rules.

This session will provide attendees with a practical roadmap to align, people process and technology with real case examples of how generative and agentic AI-powered tools and next-generation benchmarks have helped healthcare organizations reduce avoidable touches, increase first-touch payment rates, and unlock significant revenue improvement. Case examples include provider organizations that cut avoidable denials by up to 70% and saved hundreds of thousands annually in labor costs.