| Client Profile | Two-doctor general practice operating at full clinical capacity |
| Engagement | PPO Participation & Optimization Assessment |
| Patient Base Analyzed | 3,396 active patients across all payors |
| Networks Validated | Top 14 insurance networks |
The Situation
The practice came in with a decision largely made.
Reimbursement from several carriers had fallen to the point where mandatory contractual write-offs were doing visible damage. The owner wanted to move Aetna, Cigna, Guardian, and MetLife out of network — four carriers, one decision, done.
The request was not unreasonable. It was under-analyzed.
What the Analysis Confirmed
The economics held up.
Certain insurers reimburse at high Usual, Customary, and Reasonable levels when a provider is out of network. For this practice, that meant it could eliminate required write-offs while potentially maintaining comparable reimbursement.
On the spreadsheet, the move worked.
What the Analysis Also Found
The primary risk was never the reimbursement math.
It was patient attrition driven by network status perception — not by reimbursement differences.
Patients do not leave a practice over a fee schedule. Most could not describe one. They leave when they call, hear “we’re no longer in your network,” and interpret it as this practice is now expensive. The number on the claim may barely move. The patient’s read on it changes completely.
That risk does not show up in a reimbursement model. It shows up eight months later in the schedule.
The Recommendation
A phased implementation — not the immediate termination of multiple contracts.
- Map the patient clusters first. Evaluate current patient insurance clusters and economic sensitivity before touching a single contract. Which patients sit under which carrier, and which of them are most likely to react to a network status change?
- Phase out gradually, starting with one test network. Aetna was selected as the initial test. One carrier. Real patients. Real data.
- Measure what actually happens. Monitor case acceptance, patient retention, and revenue stability throughout the transition.
- Let the result govern the next move. If retention holds, the model is validated and the remaining carriers follow with evidence behind them. If attrition exceeds projections, the practice has lost one network — not four — and can stop.
One test network is a reversible experiment. Four simultaneous terminations is a bet.
Why the Sequencing Was Not Optional
PPO participation is not a simple in-or-out decision. Each payer behaves like a different piece on the board:
- Some can be rerouted directly to higher-paying networks without disruption
- Others require cautious repositioning through rental agreements, probationary periods, or phased terminations
- Certain missteps — such as prematurely dropping a contract — can trigger irreversible out-of-network status, or lock a practice into low-paying arrangements with limited escape
That third category is the reason a phased approach is not just conservative. Some doors do not reopen. A practice that terminates in the wrong order can find itself unable to return to the arrangement it left, on any terms.
The cost of the wrong move is not a disappointing quarter. It is a permanently narrower set of options.
The Concentration Finding
Validation calls were placed to the top 14 insurance networks serving the practice’s market, confirming each provider’s NPI was correctly recognized and surfacing unexpected network associations that could have affected participation or reimbursement.
The payor mix analysis then reshaped the entire negotiation strategy.
Five networks — Delta Dental, BCBSM, MetLife, Guardian, and ADN — accounted for 85.46% of all patients.
Delta Dental alone represented 55.09%. And Delta Dental is the only one of the top five that is non-negotiable.
Read those two facts together and the strategy writes itself.
More than half the practice’s insured population sits with a carrier that will not move on fees. Every dollar of negotiating leverage the practice has is concentrated in the remaining four — which is precisely where effort belongs, because reimbursement improvements produce the greatest financial impact when applied to the networks carrying the largest patient volume.
Spreading negotiation effort evenly across fourteen networks would have been fair, thorough, and largely wasted.
The Capacity Constraint That Changed the Goal
Operational benchmarking found the practice operating at physical capacity, with hygiene scheduled several months in advance.
This is the finding that quietly redefines every other recommendation.
A practice with open chair time can grow its way out of a reimbursement problem — add patients, fill the schedule, absorb the lower rates on volume. A practice at capacity cannot. There is no volume lever left to pull.
So the strategic focus shifted away from patient volume growth entirely, toward:
- Production optimization
- Improved case acceptance
- Maximizing reimbursement efficiency on the patients already in the chair
If you cannot see more patients, the only remaining variable is what each visit produces.
The Benchmarks Installed
Strategy without measurement is opinion. Specific performance benchmarks were established:
- Hygiene production maintained near 25% of total revenue
- Daily lead goals tracked, including periodontal treatment scheduling and provider diagnosis performance
- Reporting dashboards and Eaglesoft analytics deployed to monitor measurable outcomes throughout the transition
A comprehensive practice evaluation was recommended to analyze historical patient patterns, assess the impact of prior optimization projects, and produce a written implementation roadmap — so the transition had a document behind it, not just an intention.
The Fee Schedule Warning
The assessment benchmarked the practice’s fees against the National Dental Advisory Service report, recommending a UCR schedule set at a minimum of the NDAS 70th percentile.
The cautionary case is worth stating plainly.
A practice hesitated to raise its fees, concerned about the optics of large write-offs. Its UCR fees drifted below some of its own contracted PPO rates.
Claims are always paid on the lesser of the UCR or the contracted rate.
That practice lost more than $82,000 in a single year — not to a bad contract, but to its own fee schedule undercutting contracts it had already negotiated.
The Outcome
A controlled network reduction strategy built on data-driven decision making and operational optimization — designed to improve long-term profitability while maintaining practice stability.
The practice got what it originally asked for. It got it in an order that let it verify the decision before committing to it, and stop if the data disagreed.
The Takeaway
Any consultant can run the reimbursement math and confirm a move is profitable.
The strategic work is knowing which move to make first, what to measure before making the second, and which doors close permanently behind you.
