How one orthopedic practice reduced surgical cancellation rates from 2.33% to 0.66%
Picture a revenue cycle where surgical cancellations are rare, A/R runs below the national benchmark and leadership can see workflow performance in real time.
That's where one Indiana orthopedic practice landed after three years of continuous revenue cycle automation. The premise was simple: rather than replacing existing workflows, continuously improve them, so financial performance compounds as payer requirements and operational demands evolve.
The results followed. Days in A/R fell from roughly 42 to a sustained 34–35, below the MGMA benchmark. Surgical cancellations dropped by more than two-thirds. And over three years, the practice generated $7.2 million in measurable financial value with revenue per visit rising even as patient volume declined.
This case study from Jorie AI lays out the full journey: the operational problems, the automation strategy and the complete year-by-year financial performance summary.
Learnings include:
That's where one Indiana orthopedic practice landed after three years of continuous revenue cycle automation. The premise was simple: rather than replacing existing workflows, continuously improve them, so financial performance compounds as payer requirements and operational demands evolve.
The results followed. Days in A/R fell from roughly 42 to a sustained 34–35, below the MGMA benchmark. Surgical cancellations dropped by more than two-thirds. And over three years, the practice generated $7.2 million in measurable financial value with revenue per visit rising even as patient volume declined.
This case study from Jorie AI lays out the full journey: the operational problems, the automation strategy and the complete year-by-year financial performance summary.
Learnings include:
- Reduced surgical cancellation rates from 2.33% to 0.66%
- Maintained 99.95% independent QA accuracy.
- Sustained days in A/R between 34-35 days
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