The Process
Every article on Connected RCM starts with a frontline revenue cycle professional who frames the real questions arising from denials, payer behavior, and regulatory change. AI tools then surface patterns in complex datasets, draft initial outlines, and pressure‑test assumptions, while human editors validate findings, add operational nuance, and translate insights into practical guidance you can apply as necessary.
Industry veterans lead. AI accelerates. Together they deliver clear, accountable, and actionable insight.
About the Author
I’ve spent the better part of a decade working in Healthcare Revenue Cycle, with a focus on denials analysis dating back to July 2018. My experience has been shaped by a unique setting — a Federally Qualified Health Center (FQHC), where the complexity of claims and payer rules adds an extra layer of nuance to everything from billing to appeals.
Over the years, I’ve grown from analyst to team lead, helping build what started as a Denial Mitigation team into a full Denial Prevention Committee. Along the way, I’ve developed and refined methods for tracking, resolving, and — most importantly — preventing denials before they ever hit the revenue cycle. I’ve had a hand in identifying costly denial trends and driving the work to reverse them.
This blog exists because RCM can feel like a maze of codes, payers, and policies. My goal is to help other revenue cycle professionals step back and see the bigger picture — the patterns, the systemic causes, and the strategies that make a real difference.