Avg RVUs / Physician
287
Average work RVUs per full-time-equivalent physician across all specialties
▲ +8.3% vs benchmark of 265
RVU productivity benchmarking, patient satisfaction trending, and payer mix analytics — built for multi-specialty practices that need to optimize physician throughput without burning out their clinicians.
Powered by modern analytics tools including
Power BI, Tableau, Zoho and Looker.

Real impact, clearly measured. These KPIs show the tangible outcomes of data-informed strategy.
287
Average work RVUs per full-time-equivalent physician across all specialties
▲ +8.3% vs benchmark of 265
4.6/5.0
Average patient satisfaction score across specialties — Press Ganey or CAHPS composite
▲ Above 4.5 target
94.2%
Percentage of scheduled appointment slots filled — unused slots represent lost revenue
▲ +3.0 pts YoY
38 d
Average number of days from service rendered to payment received — lower is better
▼ 6 days above 35-day target
How we turned fragmented data into a single source of truth—and what we achieved.
Multi-specialty medical groups and health system-employed physician networks typically measure productivity once a year during compensation reviews. By the time a physician is flagged as underperforming — whether on RVUs, patient satisfaction, or fill rates — months of revenue have already been lost and the conversation is uncomfortable. Practice administrators lack the real-time visibility to coach proactively.
We built a Power BI semantic model connected to your practice management system (Epic Resolute, Athena, or eClinicalWorks) that surfaces physician RVU productivity, fill rates, patient satisfaction, payer mix, and A/R aging — refreshed weekly. Physician leaders and department chairs get a ranked scorecard they can act on in real time, not once a year.
Find answers to common questions about this dashboard and our process.
We support Epic (via Clarity reporting database or Cogito/Caboodle data warehouse), Athena Health (via AthenaNet API or Analytics reporting), eClinicalWorks (via reporting database), and Cerner Millennium (via CernerWorks Analytics). For practices with billing managed externally, we can work from claim-level export files in ANSI X12 837 format or the billing vendor's custom export format.
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