The Art of Collections: Revenue Cycle Strategies for the Modern Health System

Health systems lose billions of dollars each year to denial accumulation, vendor inaction, and documentation failure not because the data is unavailable, but because no one has built the architecture to act on it before the claim is submitted. Drawing from a live $134 million accounts receivable recovery effort, Matthew Ayinde presents a complete revenue cycle intelligence framework built at the intersection of clinical medicine, data science, and payer strategy. The book introduces twelve named revenue failure diagnoses, five AI predictive models deployable using existing EPIC Clarity data, the AR Command Center operating model, a pre-bill governance architecture, and the VP Revenue Intelligence role design. Written by a clinician who is also a certified coder and an MBA, this is the first revenue cycle leadership text to integrate clinical documentation improvement, AI model deployment, and executive organizational design into a single operational framework. Read more