Operations
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Why Your AR Backlog Is an Infrastructure Problem—Not a Staffing Problem
A growing AR backlog is often a sign of weak data, limited IT capacity, manual work,…
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How to Automate AR Without Losing Control of the Revenue Cycle
Revenue Cycle leaders can automate routine AR work without losing control by defining clear boundaries, visible…
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From Submitted to Paid: What End-to-End AI Claim Follow-Up Should Actually Look Like
End-to-end AI claim follow-up should move each claim toward resolution while recognizing when an account-level issue…
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What Your Revenue Cycle Metrics Aren’t Telling You
Useful Revenue Cycle metrics do more than report performance—they explain what changed, reveal root causes, and…
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How AI Can Prevent Claims from Aging into the 60-, 90-, and 120-Day Buckets
The 60-to-90-day AR window should be treated as an early-warning zone where AI can identify payer…
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Denial Prevention Starts Upstream: How Front-End Accuracy Protects the Entire Revenue Cycle
Many denials begin long before billing. Clear ownership, accurate front-end information, and reliable handoffs protect reimbursement…
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Beyond the Bot: Building Human-in-the-Loop Automation for Patient Access and the Revenue Cycle
Effective Revenue Cycle automation begins with a defined operational problem, clear human-review points, accountable ownership, and…
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Closing the Gaps: Building One Connected Revenue Cycle
A connected Revenue Cycle requires clear ownership, closed-loop handoffs, shared measures, and no unresolved account without…
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October 1 Is a Revenue Cycle Reset: What FY 2027 Changes Mean for Operations
The annual coding and payment update affects far more than the coding team. Revenue Cycle leaders…
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The True Cost of a Payer Call
The cost of payer follow-up includes preparation, waiting, documentation, repeated touches, specialized support, and opportunity cost.…