Performance Metrics & Reporting

Use Cases on improving reporting accuracy, aligning performance metrics, and leveraging analytics for better decision-making.

Enhancing wRVU Accuracy and Transparency with RevOps

A large multi specialty organization saw major discrepancies between their BI tool’s wRVU numbers and the wRVUs shown in RevOps. Clinicians questioned the accuracy of their performance data, and leadership lacked trust in the reports used to evaluate productivity and distribute incentives.

  • RevOps traced the misalignment to bundled wRVU reporting in their BI tool, which combined paid and submitted services and distorted recent performance. OpsRadar separated performed wRVUs from paid wRVUs, giving a precise, real time picture of clinician activity and eliminating confusion about true productivity.

    • Improved wRVU accuracy by separating performed and paid services cleanly

    • Rebuilt clinician trust with transparent, real time productivity insights

    • Replaced flawed BI reporting with a reliable, organization wide source of truth

Ensuring Accurate wRVU Performance Incentives with RevOps

A multi specialty group experienced ongoing disputes because clinicians consistently reported higher wRVUs than the BI tool. The BI system missed the final week of every month due to a built in reporting delay, creating annual shortfalls of up to 12,000 wRVUs and undermining incentive fairness.

  • RevOps extracted data nightly from the clearinghouse and PMS, capturing all encounters and eliminating missing periods. Leadership transitioned OpsRadar into the official wRVU system, ensuring incentives matched clinician activity and restoring confidence in the organization’s performance calculations.

    • Eliminated month end gaps by capturing every encounter and wRVU accurately

    • Restored clinician trust with complete, nightly updated performance metrics

    • Ensured fair incentive payouts grounded in reliable, real time data

Enhancing Practice Comparisons and Ranking with RevOps

An MSO needed a way to compare performance across its practices, but their existing tools could not break down denials, track root causes, or identify which practices required more support. High level reporting masked operational issues and made resource allocation guesswork.

  • RevOps used denial reason code mapping to benchmark each practice across metrics like CARC distribution, payment timelines, and denial drivers. Leadership gained transparency into performance variation and could identify which locations needed targeted operational improvements.

    • Improved transparency by benchmarking practices with clear, comparable metrics

    • Directed resources more effectively using denial and performance insights

    • Increased accountability across practices with data driven operational comparisons

Enabling Informed Decision Making with Automated Data Delivery

Three organizations struggled with manual, time consuming data preparation. One practice owner spent weekends preparing reports, a CFO lost up to 40 percent of her time assembling meeting packets, and an urgent care owner could not deliver timely performance incentives due to slow reporting.

  • RevOps automated KPI reporting, delivered nightly updated dashboards, and built real time clinician performance views. Leaders no longer needed to assemble data manually and could focus entirely on analysis, strategy, and operational decisions.

    • Freed leadership from manual reporting with automated, always current data

    • Accelerated decisions with real time metrics for boards, CFOs, and clinicians

    • Improved operational focus by reducing time spent gathering and cleaning data

Maximizing Time of Service Collections with RevOps

A specialty MSO lacked visibility into front desk performance for patient responsibility collections. Without normalized metrics or location comparisons, leadership could not identify top performers, understand gaps, or design incentives that improved revenue capture at check in.

  • RevOps aggregated transaction data into a unified dashboard, ranked staff performance, normalized collection metrics by opportunity volume, and predicted financial impact using days to payment trends. Leadership used these insights to introduce incentives, share best practices, and correct posting errors in the PMS.

    • Increased ToS collections by identifying high performers and uplifting underperformers

    • Improved financial predictability with normalized, comparable collection metrics

    • Strengthened accountability across internal staff and external billing partners

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