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Case Study12 min read

Case Study: Margin Recovery in a Multi-Location Ophthalmology Practice

Practice Profile

9-provider ophthalmology group, 3 locations, $12M annual revenue, physician-owned

Engagement Type: Margin Recovery Diagnostic + 90-Day Execution


The Situation

The practice was profitable but stuck. Revenue had been flat for two years even though they'd added a provider. The managing partner said it best: "We're busier than ever but making the same money." Operating margin had dropped from 28% to 21% over three years, and nobody could point to where the 7 points went.

The partners were considering selling to a PE-backed platform but didn't want to give up independence. They wanted to know if the margin erosion was fixable before making a decision they couldn't undo.

The Diagnosis

A 4-week diagnostic looked at all five leak zones. Nothing was shocking individually, but together they painted a clear picture.

Access: The no-show rate was 12% across the practice, but one location was at 18%. That location had the longest wait for routine visits (22 days for the third-next-available) and a weak reminder system (one automated call, no text, no confirmation). The practice was losing roughly 2,100 visits annually to no-shows and cancellations.

Capacity: The surgical coordinator was booking OR time based on what the surgeons preferred, not on case complexity or equipment availability. Two of the three surgeons were finishing their block time early. The third was running over. OR utilization was 61% when it should be 80%+.

Revenue Cycle: The practice hadn't looked at payer contracts in over 4 years. Their biggest commercial payer—31% of net revenue—was paying 94% of Medicare for their top 5 surgical codes. A competing ophthalmology group in the same market had negotiated 118% of Medicare with that same payer 18 months earlier. The denial rate was 9.2%, with over 40% of denials tied to prior auth failures.

Staffing: Tech turnover was 35% annually. Exit interviews showed two patterns: unpredictable scheduling and the feeling that "nothing ever changes when we raise problems." Replacing a tech cost about $18,000 per hire.

Operations: The practice was running three separate patient communication platforms that didn't talk to each other or the EHR. Staff were manually entering data across systems. The estimated time waste was 22 hours per week across all locations.

The Recovery Plan

The diagnostic produced a prioritized 90-day plan focused on the three highest-impact leak zones.

Month 1: Revenue Cycle — They requested formal rate reviews with their top 3 commercial payers. For the biggest one, they built a comparison table showing their rates versus Medicare and versus market benchmarks. They also set up a prior auth tracking system that assigned ownership for every auth request and flagged denials within 24 hours for immediate appeal.

Month 2: Access — They rebuilt the reminder workflow across all locations: text at 7 days, text at 48 hours with confirmation request, morning-of text, and a phone call for any unconfirmed appointments. They created a centralized waitlist. The location with the 18% no-show rate also got targeted overbooking for its highest-volume provider.

Month 3: Operations — They consolidated the three communication platforms into one system that integrated with the EHR. The transition took 3 weeks of parallel running. Staff training happened in two half-day sessions.

The Results (6 Months Post-Engagement)

MetricBeforeAfterImpact
No-show rate12% (18% at worst location)5.8%~1,300 visits recovered annually
Largest payer reimbursement94% of Medicare108% of Medicare~$185,000 annualized
Denial rate9.2%4.1%~$95,000 in recovered claims
Communication platforms3 (non-integrated)1 (EHR-integrated)22 hrs/week staff time saved
Tech turnover35% annually18% (trending)~$54,000 in avoided recruiting costs
Operating margin21%26.4%~$650,000 in recovered annual margin

The partners dropped the PE conversation. The managing partner's takeaway: "We didn't have a revenue problem. We had a discipline problem."


This case study is a composite based on patterns I've seen across ophthalmology practices. Specific details have been generalized to protect confidentiality.

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