Every multi-provider practice has one: the workhorse. The physician who sees the most patients, generates the most wRVUs, and works the longest hours. Everyone assumes that provider is carrying the group financially. And in many practices, that assumption is wrong.
Production and profitability are related but different concepts, and confusing them leads to bad compensation decisions, misallocated resources, and partnership disputes that could be resolved with better data. This article explains the difference, walks through how to calculate true provider profitability, and includes a worked example that illustrates why the highest producer is not always the highest earner for the practice.
Why Production Is Not Profitability
Production measures output. In healthcare, we typically measure production using wRVUs (work relative value units), which are a standardized measure of the physician work involved in each service. CMS assigns a wRVU value to every CPT code, and your total wRVUs tell you how much clinical work you performed, adjusted for complexity.
The problem is that wRVUs measure volume and intensity of work. They do not measure how much money that work generates (because reimbursement varies by payer), how much it costs to deliver that work (because overhead varies by provider), or how much ancillary revenue that work creates (because referral patterns and service lines vary).
Profitability, by contrast, measures what is left after you account for all of those factors. A provider's true contribution to the practice equals their total revenue generated (collections plus ancillary revenue) minus their total cost to the practice (compensation, benefits, direct overhead, and allocated indirect overhead).
These two numbers can tell very different stories, and the difference usually comes down to three factors: payer mix, overhead consumption, and ancillary revenue generation.
Factor 1: Payer Mix
Two providers in the same specialty, working in the same practice, seeing the same number of patients, can generate dramatically different revenue because of their payer mix. Here is why.
Medicare reimburses based on the Medicare Physician Fee Schedule, which assigns a dollar conversion factor to each wRVU (currently about $33.29 per wRVU for 2026). Commercial payers negotiate rates that are typically 120-200% of Medicare, depending on the specialty and market. Medicaid pays significantly less, often 60-80% of Medicare. Self-pay and worker's comp have their own rate structures.
If Provider A sees a panel that is 50% commercial, 30% Medicare, and 20% Medicaid, their average reimbursement per wRVU might be $45. If Provider B sees a panel that is 25% commercial, 55% Medicare, and 20% Medicaid, their average reimbursement per wRVU might be $36. Provider A generates 25% more revenue per unit of work simply because of the patients they see.
This is not something either provider can fully control. Patient panels build over time based on geography, referral patterns, scheduling, and reputation. But it is something the practice needs to understand when evaluating each provider's financial contribution.
How to measure it
Pull collections by provider, by payer, for the last 12 months. Calculate the average reimbursement per wRVU for each provider. This is their 'effective rate,' and it tells you how efficiently their work converts to cash. A provider with 6,000 wRVUs and a $42 effective rate generates $252,000. A provider with 6,000 wRVUs and a $36 effective rate generates $216,000. Same production, $36,000 difference in revenue.
Factor 2: Overhead Consumption
Not all providers consume the same amount of overhead. Some providers require more support staff. A procedural physician needs a dedicated medical assistant or nurse in the room; a cognitive specialist doing telehealth visits may not. Some providers use more expensive supplies. A dermatologist performing Mohs surgery has a higher supply cost per encounter than one doing routine skin checks.
To calculate true profitability, you need to allocate overhead to each provider. There are two categories.
Direct overhead
These are costs that can be specifically attributed to a provider. The salary and benefits of their dedicated medical assistant. Their individual malpractice insurance premium (which varies by specialty and claims history). Supplies used in their procedures. Equipment that only they use. CME and licensing costs.
Direct overhead is straightforward to assign. It goes where it belongs.
Indirect overhead
These are shared costs that benefit the entire practice: front desk staff, billing department, rent, utilities, IT systems, management, marketing. The question is how to allocate these costs across providers, and the answer matters more than most people realize.
Common allocation methods:
Equal share: Divide total indirect overhead equally among all providers. Simple but unfair if providers have significantly different volumes. A provider seeing 25 patients per day consumes more front desk time, more billing resources, and more exam room utilization than one seeing 15.
Revenue-based: Allocate indirect overhead in proportion to each provider's revenue. This is reasonable for most shared costs but can penalize high-revenue providers whose cost consumption is not proportional to their revenue.
Volume-based (encounters): Allocate based on the number of patient encounters. This works well for costs that scale with volume (front desk, check-in/check-out, billing) but less well for costs that do not (rent, management).
Hybrid: Use different allocation methods for different cost categories. Allocate front desk and billing costs by volume, rent by square footage or room utilization, and management overhead equally. This is the most accurate approach and the one we recommend, though it requires more work to implement.
The key principle: Whatever method you choose, apply it consistently. The absolute numbers matter less than the trend, and inconsistent methodology makes trend analysis meaningless.
Factor 3: Ancillary Revenue
This is the factor that most commonly flips the profitability ranking. Ancillary revenue includes lab work, imaging, in-office procedures, physical therapy, optical dispensing, and any other services that a provider generates beyond their own E&M and procedural codes.
A primary care physician who refers in-house lab work and imaging generates ancillary revenue for the practice beyond their own wRVU-based collections. A cardiologist who performs echocardiograms and stress tests in the office generates procedure revenue that would not exist without their patient panel. An ophthalmologist who refers patients to the practice's optical shop creates retail revenue.
This revenue is often attributed to the practice as a whole rather than to the referring provider, which means it gets excluded from the production numbers. But it should not be excluded from the profitability analysis. That ancillary revenue exists because of the provider who ordered the test, performed the procedure, or made the referral.
How to track it
Most EHR and practice management systems can run a report showing orders and referrals by provider. Map those to the revenue generated by the ancillary service line. If Dr. Smith ordered $350,000 worth of in-house lab work last year and the lab operates at a 40% margin, that is $140,000 in profit attributable to Dr. Smith's practice patterns, even though it does not show up in their wRVU total.
Worked Example: Why the Numbers Surprise You
Consider a two-physician internal medicine practice. Both physicians are partners.
Dr. Chen is the workhorse. She sees 24 patients per day, four days per week. She generates 5,800 wRVUs annually. Her panel is 30% commercial, 50% Medicare, and 20% Medicaid. She has a dedicated MA earning $45,000 with benefits. She does not perform procedures in the office and refers most imaging to an outside facility.
Dr. Patel sees 18 patients per day, four days per week. He generates 4,200 wRVUs annually. His panel is 55% commercial, 35% Medicare, and 10% Medicaid. He has a dedicated MA earning $42,000 with benefits. He performs joint injections and skin biopsies in the office, and he refers all lab work and X-rays to the practice's in-house ancillary services.
The production view
On a pure production basis, Dr. Chen is the clear leader: 5,800 wRVUs versus 4,200. She produces 38% more than Dr. Patel. In many practices, this would earn her a significantly larger share of compensation. Now let us run the profitability analysis.
Revenue analysis
Dr. Chen's effective reimbursement rate per wRVU is $37.50 (weighted by her payer mix). Collections: 5,800 x $37.50 = $217,500.
Dr. Patel's effective reimbursement rate per wRVU is $44.80 (higher commercial percentage lifts his rate). Collections: 4,200 x $44.80 = $188,160.
Dr. Patel also generates $85,000 per year in collections from in-office procedures (joint injections and skin biopsies). And his referrals to in-house lab and imaging generate $220,000 in ancillary revenue at a 35% margin, contributing $77,000 in profit to the practice.
Dr. Chen's total revenue contribution: $217,500. Dr. Patel's total revenue contribution: $188,160 + $85,000 = $273,160, plus $77,000 in ancillary profit.
Cost analysis
Direct overhead for Dr. Chen: MA salary and benefits ($58,500), malpractice insurance ($12,000), CME ($3,500), supplies ($2,000). Total: $76,000.
Direct overhead for Dr. Patel: MA salary and benefits ($54,600), malpractice insurance ($14,000, slightly higher because of procedures), CME ($3,500), procedure supplies ($8,500). Total: $80,600.
Indirect overhead allocation (using the hybrid method): Total practice indirect overhead is $320,000 annually. Allocating by a blend of volume and revenue, Dr. Chen is assigned 55% ($176,000) and Dr. Patel is assigned 45% ($144,000).
Profitability summary
Dr. Chen: Revenue $217,500, minus direct overhead $76,000, minus allocated indirect $176,000 = Net contribution: negative $34,500 (before owner compensation).
Dr. Patel: Revenue $273,160, plus ancillary profit $77,000, minus direct overhead $80,600, minus allocated indirect $144,000 = Net contribution: $125,560 (before owner compensation).
The provider who produced 38% fewer wRVUs generates a net contribution that is $160,000 higher. The difference comes from three places: a more profitable payer mix ($7.30 more per wRVU), in-office procedures ($85,000 in additional collections), and ancillary referral revenue ($77,000 in profit). Meanwhile, the higher-volume provider consumes more shared resources (more front desk time, more billing volume, more rooms) without generating proportionally more revenue.
What To Do With This Information
This analysis is not meant to punish Dr. Chen or glorify Dr. Patel. It is meant to help the practice make better decisions.
Optimize payer mix where possible. If the practice has capacity to take on more commercial patients, consider directing new patient scheduling to balance the panels. If specific Medicaid contracts are unprofitable, evaluate whether to continue participating.
Invest in ancillary services. The profitability gap in this example is largely driven by in-house ancillaries. If Dr. Chen's patients are getting labs and imaging done elsewhere, the practice is leaving revenue on the table. Can you add services? Improve referral capture? Remove barriers to in-house utilization?
Revisit the compensation model. If the practice is paying purely on production (wRVUs), Dr. Chen earns more despite contributing less to the bottom line. A compensation model that incorporates collections, ancillary referral credit, and overhead consumption would more accurately reflect each provider's true economic contribution to the group.
Have the conversation with data. Partner disputes about compensation are almost always rooted in the same misunderstanding: high producers assume their high output means they deserve the highest pay, while lower producers who generate more profit feel undervalued. Presenting a clear, data-driven profitability analysis depersonalizes the discussion. It is not about who works harder. It is about what the numbers say.
How Often to Run This Analysis
We recommend running a full provider profitability analysis annually, with quarterly check-ins on the key metrics (collections per wRVU, ancillary referral volume, and direct overhead trends). The annual analysis should be thorough enough to inform compensation discussions and strategic planning. The quarterly check-ins should be lightweight, focused on whether the key metrics are trending in the right direction.
If your practice does not have the internal resources to run this analysis, it is a standard deliverable from a fractional CFO engagement. The analysis typically takes 10-15 hours to build the first time, and 3-5 hours to update each year once the framework is in place.
The bottom line: production measures effort. Profitability measures results. The practices that understand the difference between the two are the ones that make better compensation decisions, allocate resources more effectively, and avoid the partner disputes that tear groups apart.