Experian Health's AI Tool Prevents $50M in Revenue Losses for Composite Health System — Experian plc

Event summary

Experian Health's Patient Access Curator™ prevented $50.4M in revenue losses over three years for a modeled composite health system, per a Forrester Consulting study.
The AI-powered solution reduced coordination of benefits (COB), eligibility, and registration claim denials by 40%, 35%, and 20% respectively by Year 3.
The tool freed up approximately 10,400 hours annually, equivalent to five full-time employees, by reducing insurance discovery activities by 80%.
The study found a 45% reduction in outsourced claims and denial management costs by Year 3, potentially saving $2.25M annually for a health system spending $5M on such services.

The big picture

The study highlights a growing trend in healthcare towards preventing revenue losses at the point of patient registration rather than relying on costly post-claim recovery efforts. This shift is driven by the increasing recognition that AI-powered solutions can significantly improve the accuracy of patient and insurance information, reducing administrative burden and freeing up resources for other critical priorities. The findings underscore the strategic importance of early coverage intelligence in revenue cycle management.

What we're watching

Adoption Pace: How quickly other health systems will adopt similar AI-driven solutions to prevent revenue losses and improve operational efficiency.
Sustainability: Whether Experian Health can sustain the reported reductions in denials and cost savings over the long term.
Competitive Response: How competitors in the healthcare revenue cycle management space will react to Experian Health's success with Patient Access Curator™.