Dermatology practice operating benchmarks for owners

Executive summary

Practice owners need numbers that lead to decisions: whether a payer contract earns its administrative burden, whether a new clinician can be supported, whether pathology work is paying for itself, and whether a location contributes enough to justify its footprint. A benchmark is useful only when its definition, period, service mix and accounting treatment are visible. Without those details, a precise percentage can still mislead.

There is no reliable public master table that establishes the right overhead percentage, medical assistant ratio, collections per dermatologist or payer mix for every dermatology practice. Public sources help describe labor markets, professional practice structure, Medicare payment mechanics and selected clinical operations. The most useful operating comparison is usually the practice's own reconciled trend, then a carefully constructed peer group with comparable work.

Build a small internal scorecard around net collections, operating expense, productive capacity, labor coverage, payer economics, and contribution by service line. Pair each result with a balancing measure. More visits can bring overtime; faster billing can raise denials; additional Mohs stages can reflect greater tumor complexity, not poor efficiency. The owner's task is to understand the cause before changing the operating model.

Key figures

The public figures below give context, not targets. Their populations and definitions differ. In particular, physician employment and practice ownership surveys do not measure dermatology practice profitability.

Analysis

1. Collections: define the dollar before comparing it

"Collections per provider" is a useful headline only after the practice defines what counts as a collection and what provider time is included. Cash received during a month includes payments for older services and may omit recent work still moving through adjudication. For productivity review, assign receipts to dates of service or use a consistent lag-adjusted cohort method. Reconcile the result to the general ledger and explain refunds, recoupments, credit balances and unapplied cash.

Net collection rate needs a denominator tied to expected reimbursement. A defensible version is cash realized divided by expected allowed revenue for a sufficiently mature service cohort, with contractual adjustments treated consistently. Billed charges are often fee schedule artifacts; using them as the denominator can make a practice with aggressive charge masters appear to collect poorly. Conversely, excluding patient balances or leaving old denials unresolved can inflate the apparent rate. Show the numerator, denominator, cohort maturity and exclusions beside the percentage.

For provider comparisons, use clinical FTE or scheduled clinical hours, and state how administrative sessions and onboarding are handled. A physician working six sessions should not be compared with someone working ten as though both had equal capacity. Separate APP collections by role and compensation model. Interpret results alongside payer enrollment delays, room availability, procedure mix, schedule fill and contribution after support costs. A busy clinician whose schedule consumes scarce rooms may create less incremental value than collections alone suggest.

2. Overhead: make the accounting boundary explicit

Overhead as a percentage can mean operating expense divided by net collections, expense divided by gross charges, or expense divided by revenue after specific items have been removed. Those measures are not interchangeable. For owner management, a collections-based operating expense ratio is generally more actionable: define whether clinician compensation, owner compensation, pathology expense and occupancy sit above or below the line. State separately how drug cost and debt service are treated. Address depreciation and one-time costs in separate lines. Then keep the definition stable across comparison periods.

An owner's personal compensation and return on capital deserve separate treatment. If the owner's clinical labor is paid below market, reported operating profit may overstate the economics of a business that needs a replacement physician. If an owner distribution is recorded as compensation, comparing overhead with a practice using distributions can be equally distorted. For transaction or expansion decisions, show reported results and a normalized view. State the replacement cost and management allocation, then explain each adjustment.

Illustrative example: a practice records $4.0 million in net collections and $2.8 million of operating expense before owner clinical compensation. The ratio is 70%. If $900,000 of owner compensation is added to that expense, the ratio becomes 92.5%. The two views describe different economics. Neither is inherently wrong, but comparing them without the salary treatment is meaningless. Likewise, a pathology laboratory that bills separately should not have its expense silently omitted while its revenue is included in the clinic total. Reconcile each entity and the consolidated view.

The AAD's educational material offers a broad overhead range, but it is not a dermatology owner survey or an apples-to-apples comparison. Treat it as a prompt to ask what "overhead" means. Rent, compensation, service lines, cosmetic share, local wages, practice age and ownership structure move the ratio. A bridge explaining payroll, occupancy, supply cost and revenue mix can be more useful than a benchmark percentile.

3. Staffing ratios: measure coverage and workload

A ratio such as staff per physician conceals whether staff are medical assistants, nurses, schedulers, billers, histotechnologists or managers. It also hides whether the group has one office or several, centralized billing, a Mohs laboratory, extensive prior authorization work, or cosmetic services. Build the staffing view by role, site, clinical session and workload. Use paid hours and full employment cost, including benefits and payroll taxes. Track overtime and temporary coverage. Record recruiting and training separately.

For rooming support, convert the schedule into concurrent provider coverage windows. A clinic with four simultaneous providers needs four people able to room and turn over rooms at peak, even if the weekly totals seem to support fewer full-time staff. Add relief for breaks and leave; account separately for training and turnover. Then compare scheduled capacity with actual utilization, room delays, overtime, late starts and backlogs. For front-office and revenue-cycle teams, inspect queues such as calls and referrals. Authorization work deserves its own measure. Review charge edits and denials; payment posting is another workload driver. Visit volume is not the only driver.

Staffing should be evaluated as a production system. A vacancy can shift work to clinicians, increase after-hours charting or delay claim submission. A new hire may initially reduce capacity while training. Compare total cost with the work completed and service interruption avoided. Local wage data provide broad labor context but do not capture benefits or the experience level needed for a specific role. For an actual hiring decision, use local candidate data and a fully loaded cost model.

4. Productivity: connect activity to contribution

Productivity can be visits, work RVUs, procedures, net collections, contribution margin or completed appointment capacity. Each answers a different question. Visits per day may reward short encounters; work RVUs reflect coded services but do not equal cash; collections per session blend clinical work with payer rates and billing performance. Choose a primary measure for the decision, then keep a second measure to expose tradeoffs. For a schedule redesign, completed slots and access may matter; for an APP hire, incremental contribution after compensation and support may be more relevant.

Compare comparable clinical time and service mix. Separate medical visits, office procedures, surgery, cosmetic work and other material lines. A physician with a procedure-heavy day may have fewer encounters. The day may require more room turnover and supplies. It may also need additional assistant time. A new associate's ramp should be shown by months since credentialing and schedule release, with separate views for collected revenue and mature service cohorts. Do not annualize a partial ramp as if payer enrollment, referral flow and schedule utilization were already stable.

A useful productivity review includes access, such as time to the next appointment by visit type, and capacity leakage, such as unused released slots with a reason code. Filled schedules can reflect effective operations or chronic overbooking and long waits. High room utilization may conceal bottlenecks in pathology callbacks or prior authorizations. The owner should look for sustainable throughput and contribution, with quality oversight retained by clinical leadership.

5. Payer mix: compare contract yield and workload

Payer mix by visit count is not payer mix by revenue. Report both, and distinguish commercial and Medicare. Separate Medicaid from workers' compensation. Show self-pay and cosmetic or other direct-pay services as the practice's contracts and accounting require. For each major payer, calculate allowed revenue per service unit and realized collections. Track denials, appeals, patient responsibility, days to payment, authorization workload and write-offs. Review these measures by major code families and site when volume supports a stable comparison.

A payer with a strong nominal fee schedule may require heavy authorization work or produce slow payment and frequent denials. Another may pay less per service but be operationally predictable. Estimate contribution after variable expense and administrative workload; fee alone is an incomplete ranking. Track concentration too: a high share of collections from one payer exposes the practice to contract changes. Policy shifts or enrollment issues can create risk as well. Scenario analysis can show the financial effect of a fee change or lost network status without implying that the practice can readily replace the volume.

For Medicare, use CMS fee schedule materials to understand payment rules and locality, but do not treat a national rate as a practice's actual allowed amount. Payment depends on code and setting, with locality and modifiers affecting the calculation. Commercial contracts may use different fee schedules and edit rules. Reconcile remittances to contract terms and maintain a code-level sample of expected versus paid amounts. The benchmark is the practice's verified contract performance, not a broad claim about what "dermatology" should receive.

6. Mohs: evaluate the complete case economics

Mohs should have a distinct operating statement. Track eligible cases scheduled, cases completed, stages, tissue blocks, repairs, pathology workflow and room use. Include staff time and cancellations. Track denials and collections; measure days to cash separately. Show surgeon professional work separately from technical laboratory economics when entities or billing arrangements differ. Include histotechnologist capacity and equipment. Account for controls and supplies. Record maintenance, space use and rework. Allocate shared costs consistently and make the allocation visible.

A published national analysis found wide physician-level variation in Mohs stages per case. That study result should not be used as a quota. A case mix with more recurrent or complex tumors can produce a different pattern. The variation makes case review and clinical context essential. From an owner perspective, a large shift in stages per case or blocks per stage can prompt an audit of data capture. Review case mix as well as workflow and coding. The figure cannot by itself establish appropriate or inappropriate care. The study describes its population and methods.

Model capacity by the true constraint. If the lab can process more cases but the surgeon's schedule or repair room is full, another technician may not increase throughput. Conversely, surgeon time may be wasted when slides, rooms or trained staff are unavailable. Measure time from arrival to completion as an internal operational series, using definitions that do not pressure clinical decisions. Keep financial review distinct from clinical quality review and protect independent clinical judgment.

7. Pathology and ancillary lines: report gross and net economics

An in-house pathology line can improve coordination and create revenue, but a gross charge total is not its margin. Separate professional and technical components, payer contracts and send-out work. Include labor and supplies. Track equipment and proficiency requirements. Record maintenance and uncompensated administrative tasks separately. Identify which claims belong to the dermatology entity and which belong to a separate laboratory. Consolidate them for enterprise economics while retaining the standalone view needed to evaluate the lab's capacity and cost base.

Use specimen counts and complexity alongside collections. Monitor accession-to-bill lag, rejected claims, payer edits, repeat work, send-outs, credit balances and collection by specimen category where appropriate. Compare internal unit cost with external laboratories after including courier and handling. Factor turnaround, contract terms and compliance costs into the comparison. A small pathology unit may be strategically useful even when its standalone margin is modest; document the rationale and subsidy instead of burying them in overhead.

The same discipline applies to cosmetics, phototherapy, clinical trials and product sales. Give each meaningful line its own revenue and direct labor view. Add equipment and marketing, and track supplies and space. Allocate shared expense using a consistent driver such as time, square footage, encounters or documented support hours. Show the allocation method and test whether a change in the driver alters the conclusion. Owners should be able to see which offerings create capacity constraints, which contribute cash and which are maintained for strategic reasons.

8. Build an internal benchmark set that improves decisions

Begin with a decision inventory. Select a handful of current questions, such as whether to add an APP, renegotiate a contract, expand Mohs capacity or keep a satellite location. For each, define the measure and its numerator and denominator. Record the population and reporting cadence. Name the accountable data owner and the action a result could change. If no one can name the decision, the metric may not deserve recurring production.

Create a data dictionary and reconcile the first baseline to source systems: practice management, electronic health record and clearinghouse. Include payroll and accounting; add pathology and scheduling data where relevant. Preserve source exports and calculation notes. Record exclusions, late adjustments, ownership changes, provider starts and departures, site openings, fee schedule updates and reclassifications. A definition change should be annotated and, when practical, restated historically so owners can distinguish a real operating shift from a reporting change.

Compare the practice with itself before comparing it with peers. For a multi-site group, first split by mature versus ramping locations and by materially different service lines. Then create a peer cohort with similar size and geography. Match ownership, payer environment and work mix as separate characteristics. Report the unadjusted result and any adjustment separately. Small samples are volatile; avoid ranking individual clinicians or sites on a metric that can swing due to a few cases or one contract. External figures belong in a context column. Show the originating survey or study, and describe its population and limitations instead of using an unexplained red or green target.

When a result moves, verify the feed and formula, then examine plausible drivers: hours, schedule fill, payer enrollment, case mix, contract rates and coding. Check denials and staffing. Posting lag may also contribute. Assign a follow-up owner and a date to review evidence. Keep a short exception note with the change observed, likely causes, data needed and decision. This turns benchmarking into a useful management routine. It need not become a monthly ritual of arguing over unexplained percentages.

Owner implications

The numbers that matter depend on the owner's next decision. A clinic considering a physician hire needs a ramp and contribution model. A group examining overhead needs a consistent expense boundary and normalized owner compensation. A practice adding Mohs or pathology needs capacity, direct cost and reimbursement views that distinguish professional and technical economics. A group negotiating payer contracts needs allowed amounts, realized cash, administrative burden and concentration risk.

Public figures help set context and identify questions, but they cannot prescribe a staffing ratio or profit margin for a specific office. The owner should require every reported comparison to disclose the population and definition. Show the period and adjustment as well. Internal measures should be stable enough to reveal change and detailed enough to identify an operating cause. When data do not support a confident conclusion, use a targeted data check or limited operating experiment. A borrowed target will not resolve the uncertainty.

Action checklist

• Define net collections and reconcile them to accounting.
• Write down the overhead boundary, including owner compensation and ancillary entities.
• Report provider output per clinical FTE or session with ramp stage and service mix.
• Measure staffing by role, paid hours and full cost. Break out results by site and workload.
• Compare major payers on allowed yield and realized cash. Add denials, payment delay and administrative burden.
• Create separate contribution views for Mohs and pathology. Add other material service lines.
• Pair productivity with access, capacity loss, overtime or another balancing measure.
• Create a data dictionary with formula, source, owner, refresh schedule and exclusions.
• Reconcile results before setting targets or comparing locations.
• Label external observations, internal facts and illustrative scenarios distinctly.
• Assign each exception a follow-up owner, evidence request and decision date.

Sources

• American Medical Association, Physician Practice Characteristics, report PDF.
• Krishnan et al., "Outlier Practice Patterns in Mohs Micrographic Surgery: Defining the Problem and a Proposed Solution," JAMA Dermatology, article.
• American Academy of Dermatology, What every dermatologist should know about practice finances.
• Centers for Medicare & Medicaid Services, Physician Fee Schedule.
• American Academy of Dermatology, "Economics of a Dermatology Practice," PubMed record.

Scope and limitations

This paper is an owner-oriented framework for operating and financial review. The public figures describe physician practice organization across specialties; they do not establish dermatology practice economics. The Mohs study describes its own cohort and is not a clinical standard. The AAD overhead range is a broad educational reference. Illustrative examples are hypothetical arithmetic, not reported practice results. Local contracts, accounting policies, practice structure and service mix materially affect results. No clinical or patient advice is provided.

Questions? Contact Richard@DoctorsInvestorClub.com.

Education only. This material is for general educational purposes and is not legal, tax, accounting, investment, reimbursement or clinical advice. Consult qualified advisers about decisions affecting a specific practice.

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