Center for Bone and Joint Surgery
Strengthening revenue and cash flow with predictive analytics

Background
The Center for Bone and Joint Surgery (CBJ) operates a high-volume orthopedic practice where revenue cycle performance directly impacts financial stability and operational efficiency. While the organization tracked key financial metrics such as charge lag, A/R net days, denial rates and aging receivables, these insights were primarily used for retrospective reporting rather than proactive financial management.
At one point, A/R net days exceeded 40 days, slowing revenue realization and limiting financial predictability. Without clear visibility into operational drivers, improvement efforts were often reactive and inconsistent. CBJ leadership needed a more structured, data-driven approach to managing revenue cycle performance in real time.
Approach
CBJ implemented hopper Insights for practises' revenue cycle dashboards to transform how financial performance IS monitored and managed. The dashboards provided near real-time visibility into key operational and financial metrics including charge lag, A/R net days, denial rates and the percentage of receivables aged greater than 90 days. This transparency enabled leadership to identify performance gaps quickly and intervene earlier when trends began moving away from target benchmarks.
Operational accountability for revenue cycle performance was assigned at the market level, with teams responsible for monitoring metrics and implementing targeted operational improvements. The platform also enabled cross-market benchmarking against other HOPCo practices and industry benchmarks such as AMGA and MGMA, helping leadership prioritize initiatives that would deliver best-in-class financial performance.
Outcomes
Within 12 months of implementing hopper's revenue cycle analytics, CBJ achieved measurable improvements in financial performance and operational discipline.
Revenue Cycle Performance Improvements
• Greater than 20% reduction in A/R net days
• 29% reduction in charge lag
• Billing cycle improved from 3.4 days to 2.4 days
Operational Impact
• Faster revenue recognition and improved cash flow predictability
• Earlier identification of denial drivers and billing inefficiencies
• Stronger alignment between operational teams and revenue cycle performance
• Improved financial forecasting and operational accountability
By implementing predictive revenue cycle analytics, the Center for Bone and Joint Surgery strengthened financial visibility, accelerated cash flow and established a proactive approach to managing revenue cycle performance.

