Healthcare providers rely on predictable implant costs to protect margins, support high-value care, and maintain trust with surgeons. But even when organizations use contracted, standardized pricing—such as CAP Construct Pricing—cost drift can still occur quietly in the background. Without the right analytics, those shifts often go unnoticed until variances become material.
A recent analysis at Hospital X demonstrates how deeper data visibility—combined with expert guidance—can uncover these trends early, pinpoint the true cost drivers, and support hospital teams in understanding what is contributing to the changes so they can take corrective action with confidence.
Hospital X uses CAP Construct Pricing for both knees and hips, providing predictable bundled pricing for most procedures. But over an eight-month period, analytics revealed something unexpected:
These subtle deviations—too small to detect through manual review—accumulated into a measurable financial impact.
Our experts worked with hospital leaders to validate the trends and ensure clinical and supply chain teams understood why these shifts were occurring, not just that they were occurring.
With support from PPI analytics specialists, Hospital X’s leadership was able to quickly identify the root causes of the increase. The data pointed to several converging factors.
More complex knee procedures appeared over time, including hybrid or cementless approaches. These cases often require additional components outside the CAP construct and contribute to increased spend.
Utilization shifted toward mid- and high-tier CAP codes between July and October, including:
Even small increases in these selections cause meaningful cost movement—especially when surgical volume rises. Our team helped clinicians and supply chain leaders examine these shifts together, ensuring clarity around both the clinical rationale and cost implications.
CAP Plus (items billed outside the CAP construct) rose from $2,443 in March to $11,143 in October—a 4.5× increase. These add-on items included:
In total, 102 items totaling $25,374 in additional approved spend were identified.
One primary implant system accounted for the majority of TKA volume and maintained relatively stable costs, while isolated cases from other systems carried significantly higher per-case costs. Even minimal volume from these higher-cost systems was enough to influence overall averages. Our team highlighted this pattern and coached leaders on how to interpret the variance.
While not the primary driver, reviewing CAP adherence ensured no out-of-bundle charges were slipping through.
Rising implant costs are rarely caused by a single factor. Instead, they emerge from small shifts in behavior, case mix, and product selection.
Hospital X’s data demonstrated that:
This case underscores a universal truth: health systems need technology that not only automates billing, but also continuously monitors performance and flags patterns that impact spend. Equally important, they need experts who can translate those patterns into clear, actionable next steps for clinical and supply chain teams.
Using both the insights and the expert interpretation behind them, Hospital X took immediate and strategic action.
By reviewing variation with surgeons and aligning on standard pathways, the facility reduced unnecessary premium selections and encouraged consistent implant use.
Objective, dashboard-level feedback fostered awareness and shared accountability—without compromising clinical autonomy. Experts provided facilitation and context, helping teams understand the story behind the trends.
Revalidating CAP item mapping and reviewing outliers ensured contracted pricing remained the backbone of knee arthroplasty spend.
The team evaluated the clinical justification of the most frequently used and highest-spend add-on items, with experts helping differentiate between appropriate clinical use and avoidable variation.
Understanding how isolated high-cost vendor selections skewed averages allowed for more informed vendor discussions and supply chain planning.
Hospital X’s experience represents what many hospitals face today:
Manually checking bill sheets or relying on ERP reports provides transactions, not insights.
To truly manage PPI spend, organizations need systems that can:
The transition from raw data to actionable intelligence—supported by specialists who can guide decision-making—is what enables hospitals to make smarter, faster decisions.
Implant spend management isn’t just about automation—it’s about visibility, control, and partnership between supply chain and clinical teams.
Hospital X’s case shows that even small shifts in practice patterns can materially impact cost, and that advanced analytics are essential to identifying and correcting course quickly. But the true accelerator of change is expert interpretation—helping teams understand cause and effect, align clinically and operationally, and take action confidently.
With the right insights and expert support in hand, health systems can:
Smarter PPI decisions always start with better data—paired with the right experts to help you understand it.