AI for Revenue Cycle Management & Medical Billing
Prior authorisation, denial prediction and autonomous coding, governed
What readers say
Excerpts from customer reviews on the book's Amazon listing, reproduced with attribution.
“This book takes a practical approach to AI in revenue cycle management without overpromising results. I appreciated that it focuses on finding and pricing the actual problems behind denials before jumping to automation.”
What this book is
Prior authorisation, denial prediction and autonomous coding, governed.
Revenue cycle VPs, CFOs and the denial-management teams who carry the number.
Who it is for
Revenue cycle VPs, CFOs and the denial-management teams who carry the number.
The frameworks it introduces
- Leak pricing model
- Wave-based RCM deployment
What ships with it
The companion toolkit turns the frameworks into working instruments — spreadsheets with live formulas, protocols you can put a name against, and audit rubrics that survive a committee.
Print specification
127 pages, 6 × 9 in paperback. Spine 0.286 in.
Published under the Healthcare AI Institute editorial standard.
Written and reviewed against the standard by a physician-executive whose career spans three national healthcare systems. Last reviewed on 2026-07-30.
Written from operational experience across three national healthcare systems. Every quantitative claim carries a dated source; case studies are labelled composites.
The Institute accepts no vendor sponsorship, holds no vendor equity and takes no referral fees.