Physician enterprise revenue cycle learning system that reduced A/R

A Midwestern, not-for-profit academic health system operates a multi-hospital network, a wide outpatient footprint, and a large employed physician enterprise. As clinical growth scaled, the physician enterprise needed to convert more visits into clean, payable claims while reducing the A/R inventory already sitting in workqueues.

The organization engaged our team through a trusted peer reference and needed support that could work inside EHR environments and academic health system complexity. The operating approach started where cash was trapped and where workqueue signals were clearest, then expanded through deliberate modules that connected throughput with prevention.

The Challenge

Revenue cycle leaders faced backed-up professional A/R, rising denials and edits, and uneven coding practices across specialty departments. The operating constraint was practical: too many claims needed touches, too many touches did not convert into payment, and too much revenue cycle know-how lived in disconnected workflows.

The difficulty of finding and retaining experienced revenue cycle talent amplified the issue. A pure staffing push would not address repeated claim defects, EHR logic gaps, or inconsistent coding and revenue integrity patterns. The provider needed workqueue execution that released cash and a feedback loop that moved repeat issues upstream into system logic, edit rules, and education.

The Solution

Professional billing A/R execution with EHR claim logic hardening

We delivered end-to-end revenue cycle support as modular building blocks, sequencing the work around trapped cash, recurring errors, and specialty-specific revenue integrity signals. The approach was anchored in four mechanisms:

• Professional billing A/R follow-up and payment investigation: Executed workqueues with focus on aged inventory and high-value next actions, giving the physician enterprise a structured path to reduce outstanding balance and account volume.
• PB denials and edits management: Triaged denials and edits, corrected claims, routed resubmissions and appeals, and captured prevention opportunities as repeatable rules when patterns appeared.
• Coding audits, reconciliation, and revenue integrity: Performed detailed chart audits and reconciliation sweeps to surface missed charge capture, then anchored provider and coder education in findings from actual specialty work.
• EHR claim logic and edit-rule prevention: Paired operational throughput with system hardening by moving repeated issues into EHR claim logic and edit rules, including a permanent edit to auto append Modifier 59 in the triggering scenario.

The Impact

• A/R balance decreased from $76M to $46M with total account count dropping from 4,000 to 2,100 across the physician enterprise A/R work.
• Aged A/R risk fell across key buckets with balances in 91-180 days down 55%, 181-360 days down 53%, and 360+ days down 44%.
• Average monthly collections increased from approximately $490k/month to approximately $680k/month representing approximately 38% uplift in collections run rate.
• 109,000 invoices were processed in 90+ day inventory supporting targeted aged A/R resolution inside the professional billing workflow.
• 40%+ of impacted accounts were subsequently paid after CPT logic correction after an inclusive denial pattern was addressed, followed by a permanent EHR edit to auto append Modifier 59 in the triggering scenario.

Why Us

The provider wanted a partner who could operate inside EHR workqueues, handle specialty nuance, and withstand intense operational scrutiny in an academic health system setting built around transparency and detail. A trusted peer endorsement opened the door, while performance discipline, prevention, and the ability to convert repeat work into EHR and edit-rule fixes shaped the engagement.

“You’re not a vendor, we treat you like an extension of our team.”
- Finance Leader

Transferable Insights

For health system CFOs, Chief Revenue Cycle Officers, and physician enterprise leaders, the practical lesson is to sequence throughput and transformation. Start with aged A/R, denials, and edits that trap cash, then convert repeat defects into EHR claim logic, edit rules, and education so clean-claim performance improves beyond the immediate workqueue.