Quick answer: We analyzed encounter-level data for a multi-location medical practice and graded every insurance payer on profitability. Seven payers received an F. They had been paid on 41 procedures and lost money on every single one — $80,593 gone. The input cost per encounter was known before scheduling. The contracted reimbursement was known before scheduling. The loss was locked in the moment the appointment was booked.

Key Takeaway: Same procedure, same staff, same equipment. One payer reimburses at 239% of input cost. Another reimburses at 26%. The difference is not collections. It is not coding. It is not denial management. The difference is which payer was scheduled — and that decision happens at the front desk, weeks before anyone in billing touches it.

The 239% Customer and the 26% Customer

Picture two patients on the same day. Same procedure. Same physician. Same room, same supplies, same 45-minute block on the schedule.

Payer A reimburses $7,023 on a procedure that costs $2,940 to deliver. That is a 239% return on input cost — $4,083 of net contribution per encounter.

Payer B reimburses $776 on the same $2,940 input. That is 26% of cost. A loss of $2,164 every single time.

Both patients showed up. Both procedures were performed. Both claims were submitted, adjudicated, and paid. The billing team did its job. Collections hit 100%.

The practice still lost $2,164 on the second encounter. Not because anyone made a mistake. Because the contract was never profitable to begin with.

When we ran the full payer profitability analysis — every encounter, every payer, every procedure code — the pattern was not subtle:

The 41 toxic encounters were not concentrated in one bad month or one unusual payer. They were spread across seven different payers, running consistently negative over the entire analysis period. Every one of those encounters was scheduled, staffed, and executed at a loss.

The practice was profitable overall. But it was profitable despite 21% of its paid encounters, not because of them. That is $80,593 in losses subsidized by the healthy payers — money that should have been profit, reinvestment, or the owner's take-home.

How to Build a Payer Profitability Scorecard

You do not need custom software for this. You need encounter data, input costs, and a spreadsheet. Here is the process we use with our healthcare clients.

Step 1: Pull encounter-level data. Export every paid encounter for the last 6–12 months. You need: date of service, procedure code, payer name, and amount collected. Most practice management systems and EHRs export this. If you are on QuickBooks Online, your revenue by service line gives you the collection side.

Step 2: Calculate your input cost per procedure. This is the number most practices never compute. For each procedure code, add up: physician time (prorated compensation), staff time, supplies/consumables, equipment depreciation or lease cost per use, and facility overhead allocated per encounter. If exact allocation feels overwhelming, start with your total monthly operating cost divided by total monthly encounters. That gives you a blended cost per encounter. It is imperfect but better than zero.

Step 3: Match and calculate net contribution. For every encounter: Net = Amount Collected minus Input Cost. Positive means the payer covered costs and contributed to profit. Negative means the practice subsidized that patient's care.

Step 4: Grade every payer. Use this scorecard:

The thresholds will vary by specialty. A primary care practice with a $180 input cost has different breakpoints than a radiology center at $2,940. Calibrate the bands to your cost structure, but the framework is the same.

Step 5: Sort by total damage. A payer losing $200 per encounter across 100 encounters ($20,000 total) is more urgent than one losing $2,000 per encounter on 3 encounters ($6,000 total). Multiply per-encounter loss by volume. Fix the biggest dollar holes first.

Collections Cannot Fix What Operations Put on the Line

This is the insight that changes how you think about your revenue cycle.

When the input cost for a procedure is $2,940 and the contracted reimbursement is $776, no amount of follow-up changes the outcome. You can submit the claim the same day. You can appeal every denial. You can collect 100% of the contracted amount. The math is still negative $2,164.

The loss did not happen in billing. It happened at scheduling.

Most practices treat revenue problems as collections problems. The billing team gets pressure to reduce days in A/R, increase first-pass claim rates, and chase denials harder. Those are real metrics and they matter. But they operate downstream of the decision that actually determined profitability: which payer was scheduled for which procedure.

According to the Medical Group Management Association (MGMA), the average medical practice spends 3–5% of net revenue on billing and collections. That is money spent optimizing the back end. Almost no one spends equivalent effort optimizing the front end — the scheduling decision where profitability is actually determined.

If your scheduling team does not know which payers are profitable for which procedures, they are making thousand-dollar decisions with zero financial information. That is not their fault. It is a systems problem. And it is fixable.

We covered a related version of this in our analysis of why your P&L says profitable but your bank account is empty. The payer mix problem is a layer deeper — it means some of that reported profit was never real to begin with.

The Volume Trap — More Patients, More Losses

Here is the part that breaks most owners' intuition: growth makes this problem worse.

If 21% of your paid encounters lose money, then growing total volume by 20% does not dilute the problem. It scales it. You add more profitable encounters and more toxic ones, in roughly the same proportion — unless you actively change the payer mix.

The Healthcare Financial Management Association (HFMA) has documented this pattern extensively: practices that grow revenue without managing payer mix often see margins compress even as the top line climbs. The owner sees more patients, more revenue, and less cash. It feels paradoxical until you see the encounter-level data.

In the practice we analyzed, doubling volume at the existing payer mix would have doubled losses from $80,593 to $161,186 — while the owner celebrated a record revenue year.

This is the volume trap. More patients feel like progress. More of the wrong patients is subsidized care disguised as growth.

The antidote is not fewer patients. It is knowing which patients generate margin and which ones consume it — and making that information visible before the encounter happens, not after.

This same principle applies to fixed-cost breakeven analysis. Volume only helps when the incremental encounter is profitable. When it is not, you are running faster on a treadmill.

Three Moves When You Find Toxic Payers

Once your scorecard is built, the actions are concrete.

Move 1: Stop scheduling expensive procedures for toxic payers (this week). This is the immediate lever. If Payer F reimburses $776 on a $2,940 procedure, stop performing that procedure for Payer F patients. Redirect to a lower-cost alternative if clinically appropriate, or refer out. You are not refusing care — you are refusing to subsidize a payer's below-cost contract with your operating margin. If the practice in our analysis had stopped scheduling its highest-cost procedure for its seven toxic payers, it would have eliminated $80,593 in losses immediately. That is not new revenue. It is money you already earned from profitable payers that was being consumed by unprofitable ones.

Move 2: Renegotiate or terminate (this month). Armed with encounter-level data, you now have the evidence for a rate conversation. Contact the payer's provider relations team. Show the gap between your input cost and their reimbursement. Request a rate increase to at least breakeven, or give notice per the contract's termination clause. Most payer contracts have 90-day termination windows — check yours. Not every negotiation will succeed. But you cannot negotiate what you have not measured, and most practices have never presented this data to a payer.

Move 3: Redirect volume to profitable payers (ongoing). This is the strategic play. Work with your referral sources and marketing to attract more patients from your A-grade payers. If Payer A reimburses at 239% of cost and Payer B reimburses at 26%, every patient you shift from B to A adds $6,247 in net contribution per encounter. You do not need more patients. You need more of the right patients.

The combined impact for this practice: six figures recovered in year one without adding a single new patient, a single new procedure, or a single new piece of equipment.

The practices that fix payer profitability do not do it through heroic billing efforts or aggressive patient volume targets. They do it by making one operational change: putting financial data in front of the scheduling decision instead of behind it.

Monday Morning. You walk into the practice. Your office manager has a one-page scorecard on the desk — every payer graded, every procedure mapped to contribution margin. The front desk knows which payers are A-grade for which procedures. When a patient calls to schedule, the team does not just check insurance eligibility. They check profitability. The appointment goes on the books knowing it will contribute to the practice, not drain it. You do not find out 90 days later that you lost money. You know before the patient arrives. Your schedule becomes a financial tool, not just a calendar. And at the end of the month, the bank account matches what the P&L promised — because every encounter on the books was there for a reason. That is not a technology problem. It is a clarity problem with a straightforward solution.

FAQ — Payer Profitability for Medical Practices

How do I calculate input cost if my practice has multiple procedure types? Start with your blended cost: total monthly operating expenses divided by total monthly encounters. This gives you a single average cost per encounter. Use that for your first scorecard. Once you see which payers are clearly toxic at the blended rate, refine with procedure-specific costs for your highest-volume codes. Perfect is the enemy of started.

Should I drop a payer that covers a large portion of my patient volume? Not necessarily — and not immediately. A large-volume payer that reimburses slightly below cost is different from a low-volume payer that reimburses far below cost. Start by restricting which procedures you perform for that payer, not whether you accept them at all. Some procedures may be profitable even if others are not. Then renegotiate with data.

Can my billing team build this scorecard? Your billing team has the collections data. The piece they usually lack is the input cost per procedure — that comes from your accounting and operations side. This is a collaboration between billing, accounting, and practice management. It is one of the reasons we build these scorecards as part of our financial intelligence work — the data lives in multiple systems and someone needs to connect it.

How often should I update the payer profitability scorecard? Quarterly at minimum. Payer contracts change, your cost structure shifts with staffing and lease renewals, and volume mix fluctuates seasonally. A scorecard from January may not reflect March reality. Automate the data pull if possible and review the grades every 90 days.

Is this legal? Can I really stop accepting certain payers for certain procedures? Yes, subject to your contract terms. Review your payer agreements — most allow termination with 90-day notice. Within an active contract, you generally cannot refuse to see a patient based on their insurance, but you can manage which services you offer at which locations. Consult your healthcare attorney for specifics to your state and payer contracts.

Gerrit Disbergen is an Enrolled Agent and the founder of Benefique Tax & Accounting in Davie, Florida. Benefique provides AI-powered financial intelligence for medical practices and service businesses across South Florida. Schedule a conversation about your payer profitability.

Disclaimer: This article is for informational purposes only and does not constitute financial, tax, or legal advice. All figures are anonymized composites from real engagement data. Payer names, facility names, and specific dollar amounts tied to identifiable entities have been removed. Consult your financial advisor, healthcare attorney, and payer relations team before making changes to your payer contracts or scheduling policies.