Editorial authority and sourcing
JER HR Group prepared this educational analysis using public BLS, HRSA, and CMS methodology and published healthcare/compensation service context. For JER HR Group practitioner backgrounds, see senior consultant profiles. No individual article review is claimed. Salary arithmetic is hypothetical; this guide is not legal advice.
Healthcare compensation benchmarking requires more than comparing a nurse, physician, therapist, or medical assistant's salary with one national average. The useful benchmark matches the actual job and facility type, geographic recruiting market, scheduled work hours, wage elements, experience and scope. Hospitals, outpatient clinics, physician groups, senior-care facilities and public health employers may compete for overlapping talent, but they do not necessarily follow the same pay structure.
For a defensible healthcare compensation study, compare five evidence layers: occupation- and industry-specific base wages, healthcare-specialty pay surveys, shift and incentive components, benefits and employer costs, and real recruitment/retention evidence. Use each layer for the question it can answer. JER HR Group's custom salary surveys, staff compensation consulting and compensation consulting services can support the resulting market-pricing decisions.
Key takeaways
- Match the clinical role before comparing wages: title, licensure, specialty, acuity, shift, patient-care duties, supervisory scope and work location matter.
- Do not blend different pay measures: OEWS wages, provider compensation surveys, overtime-inclusive earnings and total employer benefit costs are not interchangeable.
- Use sector-appropriate comparisons: hospital jobs, physician-office roles, outpatient practice jobs and long-term care work can have different employer and talent markets.
- Document the market decision: retain each data source, reference date, sample strength, role match, excluded payments and approval rationale.
Which compensation datasets should healthcare employers compare?
Begin with the purpose of the decision. Is the employer setting a recruiting range for bedside nurses, evaluating advanced-practice compensation, reviewing laboratory leadership pay, designing a multi-site salary structure, or measuring the total cost of a benefits program? A dataset can be excellent for one purpose and misleading for another.
| Data source | Best use | Important limitation |
|---|---|---|
| BLS occupation + geography OEWS | Establish an occupation-specific wage reference for a state, metro area or national market | May combine hospitals and other employers; published wages exclude overtime, shift differentials and benefit costs |
| BLS healthcare-industry OEWS cuts | Compare jobs within healthcare settings such as hospitals (NAICS 622) or ambulatory health care (NAICS 621) | Some industry cuts are national, not every local employer group; a matching industry alone does not ensure the right job level |
| Healthcare specialty salary surveys | Match clinicians or specialists by credentials, setting, specialty, pay mix and appropriate peer employers | Proprietary methods, mixed work units, inconsistent definitions or low sample sizes need review |
| Internal payroll and HRIS records | Measure actual base pay, grades, shift eligibility, incumbency, hiring exceptions and compression | Needs clean hours, effective dates, licensure/role mapping, privacy protection and separation of premiums |
| BLS employer-cost ECEC data | Understand how wage costs and benefits contribute to overall employer compensation expenditure | Industry-average employer cost per hour is not an individual employee's salary or a matched physician/nurse market rate |
| Recruitment, vacancy and HRSA context | Test competition for skills, geography, vacancy pressures and workforce constraints | A shortage designation or long vacancy is contextual labor-market evidence, not a measured market salary |
| CMS provider cost reports | Review certain financial, cost-center, utilization and facility operational context | Cost reports are not occupation-matched salary surveys; do not treat cost-center expense as a nurse or physician wage |
1. Start with BLS occupation and healthcare-industry wage data
The Bureau of Labor Statistics publishes Occupational Employment and Wage Statistics (OEWS) for occupations nationally, by states and metropolitan areas, and at national healthcare-industry levels. Its May 2025 industry-specific estimates distinguish hospitals (NAICS 622), ambulatory health care (NAICS 621), and nursing/residential care settings (NAICS 623), with finer subsectors where published. An organization should start by choosing the right occupation code and employer setting, then confirm which geographic and industry cut exists for that occupation.
The May 2025 OEWS technical notes are essential here: OEWS measures straight-time gross wages and includes some guaranteed and incentive pay, but excludes overtime pay, shift differentials, nonproduction bonuses, employer benefit costs, and tuition reimbursement. Therefore, a hospital's real weekend or night-shift payroll earnings cannot be substituted directly for the OEWS hourly wage without normalizing pay elements.
Use the state occupational wage tables or metropolitan occupational data to understand the regional talent market, then compare appropriate national healthcare-industry cuts as a reasonableness check. Do not imply a national hospital-industry value is simultaneously a local hospital-specific benchmark if no such joint cut is available. See our regional-versus-national market selection guide for a general labor-market framework.
2. Add role-specific healthcare surveys when job duties require them
Published OEWS categories may be too broad for certain clinical roles. A benchmark for a registered nurse might need to distinguish emergency department, intensive care, operating room, inpatient floor and ambulatory practice work. An advanced-practice provider may have different patient panels, certification, productivity arrangements and call obligations. A physician analysis can require specialty-specific compensation and productivity definitions, rather than one occupational average.
For these cases, evaluate specialized healthcare compensation surveys or custom peer surveys. Record the survey's actual employer setting, occupation and specialty definitions, work unit (hourly rate, annual FTE base, cash compensation, or other defined measure), observation year, geographic coverage, sample strength and suppression. Licensing and clinical scope should be validated against the employer's actual job description—not inferred from title alone.
Do not assume physician compensation surveys, work relative value unit (wRVU) measures or collections-based reports all describe the same compensation. They can answer different questions. Where production-linked pay is relevant, the employer must document the incentive formula and obtain appropriate compliance review rather than deriving a final package from a simplistic national median.
| Role family | Minimum matching factors | Avoid comparing without adjustment |
|---|---|---|
| Registered nurses and LPN/LVNs | License, unit, specialty, acuity, shift, experience, scheduled hours, clinical level | Bedside acute-care RN vs outpatient triage RN, or day shift base vs overnight total earnings |
| Advanced-practice clinicians | APRN/PA qualification, specialty, independent/collaborative scope, patient mix, call, clinical FTE | Provider-base wage vs productivity-inclusive package or different clinical coverage models |
| Physicians and clinical directors | Specialty, practice setting, FTE, patient/procedural mix, clinical vs administrative duties, call and incentive structure | Academic vs community practice without adjustment; collections vs wRVU or total compensation |
| Allied health and diagnostic roles | Credentials, modality, department, experience, patient acuity, on-call requirements | Radiology specialty vs broad technician title; general wage table vs subspecialty scarcity |
| Revenue cycle, IT, finance and HR | Technical skill, hospital system size, reporting scope, regulatory expertise and actual recruiting market | Healthcare-only survey vs cross-industry market without checking genuine job competition |
| Nurse managers and clinical leadership | Span of control, budget, service line, shift accountability, patient care vs management mix | Staff RN earnings with overtime vs manager scheduled base salary |
Healthcare benchmarking support
Are your hospital salary comparisons mixing unlike jobs?
JER HR Group can help scope salary survey matches, compare healthcare employer groups, and interpret wage data before changes reach hiring ranges or pay grades.
Named healthcare compensation survey sources: what each measures
Three established examples are MGMA DataDive Provider Compensation, AMGA Medical Group Compensation and Productivity Survey, and SullivanCotter's healthcare compensation surveys. These are examples to evaluate, not endorsements or claims that JER HR Group has licensed access. Availability, licensing, participation rules, confidentiality, definitions and permissible uses must be confirmed with each provider.
| Survey family | Relevant data and use | Must verify before comparison |
|---|---|---|
| MGMA DataDive Provider Compensation | Physician and advanced-practice provider compensation, specialty, productivity and available benchmarking filters | Data year, total compensation versus base salary, clinical FTE, specialty definitions, production metrics and specific licensed dataset |
| AMGA Medical Group Compensation and Productivity | Medical-group provider compensation/productivity, physician and advanced-practice clinician specialty and related pay-practice context | Medical-group sample and specialties, definition of work RVUs, incentives, care model, reporting period and suitable peer group |
| SullivanCotter healthcare surveys | Distinct survey families including Physician Compensation and Productivity, Advanced Practice Provider Compensation and Productivity, Registered Nursing Compensation, Health Care Staff Compensation, healthcare leaders and on-call compensation | Select the relevant specific survey rather than mixing executive, APP, physician or workforce data; verify its employer setting, job matches, pay elements and license |
| BLS OEWS occupational/industry estimates | Transparent public occupation, region and selected healthcare-industry wage context | Published geography and industry combination, wage inclusions/exclusions, observed job scope, reporting period and statistical limitations |
For hospital nursing, allied-health, revenue-cycle or non-provider positions, a physician/APP survey should not be treated as an appropriate job match. Seek workforce- or role-appropriate data with verified employer settings and geographic relevance. The companion article on salary survey data quality criteria explains source vetting; the later healthcare salary-survey guide will address detailed peer-group selection, which is a separate keyword owner.
3. Separate base pay, shift premiums, incentives and total rewards
Healthcare staff often have pay arrangements that are difficult to compare across surveys: evening/night shift differentials, weekend premiums, on-call pay, callback, overtime, certification differentials, retention payments, quality incentives and benefits. Define whether the decision concerns the scheduled base rate, total cash compensation, or fully loaded employer cost. A salary benchmark cannot be credible if one organization's figure includes premiums that the comparison source excludes.
The distinction also applies to roles paid across different regular hours. Convert annual salaries to comparable full-time-equivalent assumptions or an hourly basis only with verified schedules; do not presume every clinician works 2,080 hours per year. Salary administration policies should define how managers authorize premiums and market adjustments, while incentive plan design should cover any applicable approved variable-compensation models.
Illustrative calculation: base wages versus night-shift earnings
One hypothetical healthcare employee, two different pay measures
Educational example only, not an actual nurse salary or survey statistic. Suppose an eligible employee earns $42 per scheduled hour, works 36 regular hours in a week, and receives a hypothetical $4 premium on 12 eligible night hours. The base wage component is 36 × $42 = $1,512; the night premium is 12 × $4 = $48; total earnings from these two components are $1,560. No overtime, bonus or benefit value is assumed.
For an OEWS-style straight-time base comparison, the employer should investigate which elements are included in the selected external wage estimate and avoid treating $1,560 ÷ 36 as an ordinary base rate. For a total-cash-pay analysis, the premium is relevant—but the comparison survey must measure the same elements. This example is an internal normalization exercise, not a recommended clinical pay rate.
4. Use total employer-cost data for benefits, not job-specific wages
The BLS December 2025 Employer Costs for Employee Compensation (ECEC) release provides industry-level measures of employer spending on wages and benefits. Its private-industry hospitals line reports an average $65.65 in total employer compensation cost per hour worked, composed of $43.18 in wages/salaries and $22.47 in benefits. This aggregate reflects many jobs in private hospitals and is neither a registered nurse median nor a target pay rate for a particular opening.
Compare ECEC employer costs with the costs of the employer's own benefits design only at a compatible level of analysis. Health insurance, retirement, paid leave and other benefits are important for total rewards and labor budgeting, but a nurse's scheduled wage cannot be benchmarked by multiplying an OEWS rate by a hospital-wide employer-cost percentage. Such calculations confuse different population and measurement methods.
5. Treat workforce shortages and CMS cost reports as context
HRSA's Health Workforce Shortage Areas dashboard identifies designated shortages in primary care, dental and mental health services. Its scores and designations can inform workforce planning and geography, but they do not provide a wage benchmark for a specific physician, RN or therapist. Combine shortage context with actual vacancy duration, offer acceptance, voluntary turnover and credible market compensation data.
The CMS Healthcare Cost Report Information System contains reported provider characteristics, costs and charges by cost center, utilization and financial data. These records may inform operating constraints or trend checks, but are not an occupation-matched compensation survey; a nursing cost-center total is not an RN base-pay median. Be careful with reporting periods, methodological changes and CMS' data disclaimer.
| Measure | Use this data or formula | Pitfall to avoid |
|---|---|---|
| Scheduled base hourly or annualized FTE pay | Confirmed scheduled rate or salary; consistent work-hours basis and effective date | Including overtime and differential pay in only one side of the comparison |
| Shift and weekend premium | Explicit hourly premium, eligible hours, department, and qualifying shift rules | Comparing premium-inclusive gross earnings with an external base-only figure |
| On-call, callback or overtime | Actual eligibility, hours, pay rules and aggregate cost; analyze separately | Treating irregular extra work as a permanent market wage |
| Provider productivity / cash compensation | Contracted definitions for incentive pay, wRVUs/collections, clinical FTE and time period | Blending gross professional collections, cash compensation and base salary as if identical |
| Total employer labor cost | Wages plus explicitly valued benefits and other employer costs, with a documented denominator | Using an industry-wide ECEC cost per hour as a job-specific salary survey |
| Internal pay position | Comparable job grade, midpoint, tenure, relevant experience and approved exceptions | Assuming compa-ratio differences alone prove pay inequity |
Healthcare pay structures
Need to translate market data into usable pay ranges?
Compare the right base-pay and premium measures first, then review pay grades, internal consistency, and cost before making new offers.
Seven steps for a defensible healthcare compensation benchmarking project
Step 1: Define the healthcare roles and intended pay decision
Identify whether the work concerns recruiting, retention, pay ranges, clinical premium structures, specialty competitiveness or organizational budgeting. Segment inpatient, outpatient, ambulatory and other employer settings and decide which compensation components are in scope. The study should not attempt to create one universal “healthcare wage.”
Step 2: Standardize and validate job descriptions
Confirm licensing, credentials, required certifications, clinical specialty, role level, service lines, patient mix, shift, supervision and time spent in direct care. Use job evaluation or competency models to resolve mismatched roles before pricing them. Retain explicit crosswalks from internal positions to comparable survey definitions.
Step 3: Identify the actual recruiting market
Map facilities, employees' work locations, candidate origins, competing employers, remote arrangements for nonclinical roles and specialty travel markets. Check local occupational rates and appropriate industry benchmarks separately, noting when an exact location × industry × occupation intersection is unavailable. For hospital networks crossing states, consider whether a shared pay policy or different geographic structures are justified by hiring evidence.
Step 4: Screen and combine credible data sources
Inventory BLS OEWS, validated healthcare survey cuts, suitable peer research and relevant internal records. Record publication/effective dates, job match, employer setting, geography, sample size or suppression, measured pay elements, and any market adjustment. Use the six salary survey data quality criteria to reject weak sources before weighting the remaining evidence.
Step 5: Normalize compensation elements consistently
Calculate a comparable base-pay reference separately from differentials, overtime, bonuses and employer benefits. Document FTE assumptions and analyze provider productivity contracts in their own methodology. The definition of “total compensation” can vary across healthcare surveys; use each publisher's actual definitions. Have appropriate advisers evaluate overtime classification questions and any legally sensitive pay model rather than treating survey numbers as legal advice.
Step 6: Test market findings against internal equity and operating constraints
Analyze job levels, incumbent pay, relevant experience, new-hire offers, supervisory pay relationships, compression and differences across departments and facilities. Compare proposed changes with the approved compensation philosophy, salary structures and budgeting. The related pay compression diagnostic illustrates the measurement discipline, although healthcare employer agreements and job structures need their own review.
Step 7: Document decisions, owners and refresh triggers
Produce a clear market study that identifies data limitations, selected market reference, grade/range recommendations, potential premium-policy changes and cost implications. Assign responsibility for implementing and revisiting each item after role changes, new facilities, recruiting pressures or updated published surveys. Depending on the scope, staff compensation consulting and classification and compensation methods can help formalize defensible results.
Physician compensation benchmarking and healthcare fraud-and-abuse compliance
A survey percentile does not, by itself, establish fair market value, commercial reasonableness or legal compliance for a physician financial arrangement. The CMS Physician Self-Referral Law (Stark Law) guidance describes the requirements for applicable physician financial relationships and relevant exceptions, including the importance of fair market value and commercial reasonableness where required by an exception. The HHS Office of Inspector General's federal fraud-and-abuse guidance explains the separate Anti-Kickback Statute and related considerations.
If the employer is proposing clinical productivity incentives, medical-director stipends, on-call pay or another arrangement involving referral-sensitive relationships, have qualified healthcare regulatory counsel and valuation professionals review the actual facts, compensation methodology and contractual terms. Survey data are one possible input, not a safe harbor or approval. Do not assume a high or low survey percentile automatically determines an unlawful or lawful outcome; the governing rules and exceptions are fact-dependent.
What should a healthcare compensation study deliver?
The final report should have a job-matching file, transparent source inventory, wage measure definitions, market/geography methodology, limitations register, internal pay comparison, recommended pay structure options, estimated labor-cost scenarios and leadership decision log. Where applicable, it should identify specialty survey needs or physician contract elements for independent review—not pretend a general occupational statistic supplies that detail.
| Validation gate | What evidence to retain | Failure signal |
|---|---|---|
| Occupation and specialty match | Job description, license, specialty, department, hours and level | Broad survey category used to price a specific specialty without explanation |
| Employer setting | Hospital, ambulatory office, long-term care, public health or other matched context | Mixing physician practices and inpatient hospital data without a rationale |
| Labor market and survey cut | Candidate market, geography, survey source/date and sample characteristics | National hospital industry figure mislabeled as local salary data |
| Pay components | Base wage, differentials, overtime, incentive, benefits and productivity definitions | Total employer cost presented as individual clinical pay |
| Scarcity and recruitment | Verified vacancy, accepted/declined offers and relevant HRSA indicators | Shortage-area designation treated as a salary number |
| Internal alignment | Grade, midpoint, equivalent work, hires, tenure, incentives and known exceptions | Market adjustments made without reviewing incumbents or compression |
| Governance | Approving leaders, legal/contract review where needed, final data version and refresh date | No documented owner, assumptions or implementation authority |
Illustrative hospital-network example: one organization, several pay measures
Why the dataset must change with the question
Hypothetical scenario—not a JER HR Group client study: A regional healthcare system needs to review nurse hiring offers, imaging specialists' retention, physician productivity incentives and the employer cost of benefits. HR initially plans to compare all four questions with one statewide wage spreadsheet.
Instead, the team selects an appropriate nursing job/location wage reference for base pay; requests specialty-matched healthcare survey evidence for imaging roles; reviews physician contract and productivity measures under their own definitions; and uses actual plan expense plus ECEC hospital-cost information only for high-level benefits context. The organization then checks internal grades, recruitment outcomes and affordability before approving separate policy decisions. No salary figure is invented and no aggregate cost is mislabeled as a specific role's market wage.
Healthcare compensation benchmarking mistakes to avoid
- Using one job title for every clinical specialty. Check licensure, role content, unit, acuity and patient-care responsibilities first.
- Assuming OEWS wages are overtime-inclusive. OEWS excludes overtime and shift differentials; reconcile these with employer payroll before any comparison.
- Conflating hospital total employer cost with an RN wage. ECEC cost statistics answer a different question from occupation wages.
- Assuming HRSA shortage maps contain salary rates. Use them to understand certain workforce shortages, not to set offers.
- Mixing provider productivity and base-pay measures. Confirm clinical FTE, specialty, units and incentive definitions.
- Making an adjustment without internal-pay review. Check salary bands, experienced incumbents, supervisors and total cost.
- Relying on one fragile survey sample. A highly specific cut with insufficient observations may be less useful than a transparent, broader matched source.
For broader provider compensation governance questions, executive compensation consulting addresses senior roles and executive pay peer-group methods. Our current healthcare team development services focus on leadership, team effectiveness and workforce practices; compensation methodology should be discussed through the applicable consulting service rather than assumed to be covered by that development page.
Frequently asked questions
What data should hospitals use for compensation benchmarking?
Hospitals should begin with matched occupations, appropriate healthcare-industry and geographic wage estimates, reputable role-specific surveys, and their own payroll records. Base pay, differentials, incentives, and employer benefits should be analyzed as distinct measures. Recruitment and facility information provide context, not substitute salary rates.
Are BLS wage estimates useful for healthcare salary surveys?
Yes, as transparent occupation-, region-, and industry-related reference points. However, BLS OEWS wages exclude overtime, shift differentials, nonproduction bonuses, and employer benefit costs, and published cuts may not fully isolate a specialty or facility's exact recruiting market.
Should physicians, nurse practitioners, and registered nurses share one benchmark?
No. Their professional qualifications, specialty scope, clinical work, reporting models, FTE definitions, and compensation components differ. Each needs an appropriate job match and potentially specialized survey sources.
How should shift differential and overtime be handled in clinical pay comparisons?
Separate the regular base wage from eligible night, weekend, on-call, callback, overtime, and other premium earnings. Compare each pay measure against surveys with the same definitions and verify work-hour assumptions before annualizing pay.
Can HRSA shortage-area data determine what a hospital should pay?
No. HRSA shortage designations are workforce-access and geographic context, particularly for primary care, dental, and mental health. They do not provide a validated occupation-specific compensation rate.
Do CMS hospital cost reports show market pay for individual nurses?
No. CMS cost reports contain facility operations, costs, financial data, and utilization information. They can support organizational context but do not replace matched nurse or clinician wage surveys. Use internal payroll and appropriate external occupational or specialty compensation data for individual-role comparisons.
Healthcare compensation strategy
Make healthcare salary data comparable before making pay decisions
Speak with JER HR Group about healthcare job matching, custom compensation surveys, salary structures, and implementation planning tailored to your facilities and workforce.
Sources and disclosure: This educational guide draws on U.S. Bureau of Labor Statistics May 2025 OEWS occupational and industry data and technical notes; the BLS December 2025 ECEC release (published March 2026); HRSA shortage-area methodology; CMS Healthcare Cost Report Information System descriptions; MGMA, AMGA and SullivanCotter survey descriptions; and CMS/OIG federal physician-compensation compliance guidance, reviewed October 8, 2026. Organizational author: JER HR Group; see senior consultant profiles for published practitioner backgrounds. No individual article reviewer or client outcome is claimed. Salary calculations are explicitly hypothetical. This is general compensation planning information, not legal or medical advice; individual employment contracts, collective bargaining, regulatory obligations and other legal issues require appropriate professional review.
