Executive summary
As denial volumes climbed and payers moved faster, this health system's appeals team was stuck manually hunting for evidence to fight complex, high-value denials, with write-offs reaching $3.3M and no scalable way to close the gap. Check out the case study to:
- See how the health system moved from manually drafting appeals to AI-drafted letters grounded in patient-specific clinical evidence
- Discover how overturn rates improved 72%, climbing from 39% to nearly 67%
- Learn how the team recovered $1.5M across their first 54 finalized appeals, with revenue per appeal jumping by more than $10K
- Find out how the appeals team saved up to two hours per letter, freeing clinical expertise for the cases that need it most
What changed operationally
Result methodology and context
