What is Practice Staffing Model Decision?
A practice staffing model decision weighs whether a specific operational function (billing, front desk, credentialing, multi-function practice management) is better served by hiring W-2 staff in-house, contracting with an outsourcing vendor, or partnering with a management services organization (MSO). The decision turns on practice size, function specificity, volume, budget, expertise availability, growth plan, and MSO fit.
The Formula
Best Model = (Practice Size) + (Function) + (Volume) + (Budget) + (Expertise) + (Growth) + (MSO Fit)
MGMA Practice Operations data shows practices under 5 providers most often outsource billing and credentialing; over 10 provider practices tend to build in-house teams for everything except very specialized functions.
Worked Example
A 3-provider primary-care practice considering billing staffing, moderate claim volume (~1,200 claims monthly), outsourcing fee at 6% of collections is modestly cheaper than the loaded cost of one W-2 biller, specialized payer-coding knowledge needed, modest growth planned, not exploring MSO.
- Practice Size: 3 providers
- Function: billing and revenue cycle
- Volume: moderate, ~1,200 claims monthly
- Budget: outsourcing modestly cheaper
- Expertise: specialized payer-coding required
- Growth: modest, no expansion planned
- MSO Fit: not exploring
📌 Composite signal leans toward partnering externally (outsourcing the billing function). The combination of moderate volume that does not justify a full-time hire, specialized expertise that is hard to recruit and retain in a small practice, and modestly favorable outsourcing economics typically pencils out. Recommend evaluating 2-3 healthcare-billing vendors with reference checks from similar-size primary-care practices before committing.
Why This Matters
The right staffing model unlocks operating margin
MGMA Practice Operations and Cost Survey data consistently shows that practices matched to the right staffing model on each function operate at higher margins than practices that build everything in-house or outsource everything by default. The function-by-function fit matters more than a blanket philosophy.
Outsourcing transfers recruiting and retention risk
For specialized functions (specialty billing, credentialing, payer enrollment) that are hard to hire and harder to retain in small practices, outsourcing transfers the vendor recruiting and retention risk in exchange for a per-transaction or percentage-of-collections fee. The trade is often economically favorable at small-practice volumes.
Practice size shifts the break-even point for each function
MGMA data consistently shows that small practices (under 5 providers) most often save by outsourcing billing and credentialing, while larger practices (over 10 providers) typically justify building in-house teams with lower per-unit costs at volume. The optimal staffing model changes as the practice grows, making periodic reassessment essential.
Common Mistakes
❌ Comparing outsourcing fee to in-house base salary only
In-house labor cost includes salary plus benefits, software, training, management time, turnover risk, and the gap when the role is vacant. Comparing outsourcing fee to base salary alone consistently understates the in-house cost and biases the decision incorrectly.
❌ Treating staffing as a one-time decision
The right staffing model shifts as the practice grows, the function volume changes, and the local labor market shifts. Practices that lock in a model for years without reassessment routinely drift away from the optimal fit; an annual review of each operational function is the operational norm.
❌ Outsourcing without defined performance metrics
Outsourced billing or credentialing without contractual KPIs (clean claim rate, days in A/R, credentialing turnaround time) leaves the practice without visibility into vendor performance. Defining metrics at contract signing and reviewing them monthly is what separates productive outsourcing relationships from ones that quietly underperform.
Industry Benchmarks
| Category | Good | Average | Poor |
|---|---|---|---|
| US outsourced billing pricing | 4-6% of collections for full RCM at scale | 6-8% of collections | Over 9% without justification or under 3% (red flag) |
| In-house billing FTE per provider (primary care) | 0.5-0.7 FTE per provider with strong tech | 0.8-1.0 FTE per provider | Over 1.2 FTE per provider |
| Common MGMA pattern by practice size | Match function to model per function | Hybrid: outsource billing and credentialing, in-house clinical | Blanket in-house or blanket outsource without function-level fit |
Source: MGMA Practice Operations and Cost Survey, AAPC medical-billing outsourcing benchmarks, and AAFP practice-staffing research
Benchmark data sourced from MGMA Practice Operations and Cost Survey, AAPC medical-billing outsourcing benchmarks, and AAFP practice-staffing research.