
Sharper Returns: How an Ophthalmology Practice Revamps RCM with Ember
A multi-location ophthalmology practice was feeling financial pressure. On top of the complexity of dual vision/medical billing, modifier pitfalls, and denials, leadership was bracing for shrinking reimbursements on high-volume procedures like cataract surgery. Without change, their margins would tighten further.
The Challenge: Complexity Meets Declining Rates
Ophthalmology faces a perfect storm: complex billing rules combined with payer reimbursement trends that continue to compress margins. For this practice, the biggest risks included:
- Missteps with medical vs. vision insurance
- Modifier and bundling errors
- Denials tied to payer policy changes
- Global period misclassifications
- Lagging patient collections
With reduced reimbursement rates looming, any error was magnified—turning what once felt like a small mistake into a significant revenue loss.
The Solution: Ember’s RCM Platform
The practice partnered with Ember to build resilience. Ember supported them across the full revenue cycle:
- Billing & coding audits ensured documentation matched payer requirements and reduced compliance risk.
- Real-time claim scrubbing prevented common errors before submission.
- Payment posting automation reconciled payments quickly, flagged variances, and identified underpayments immediately.
- Denial prevention & appeal support reduced rejections at the front end and streamlined the appeals process when denials did occur.
- Patient pay automation improved upfront collections and follow-through.
The Results
Within 3 months, the practice saw:
- Noticeably fewer denials and faster reimbursement.
- Cleaner, more accurate payment posting that reduced missed revenue.
- Higher net collections, even with declining reimbursement rates.
- More staff time freed up to focus on patients instead of paperwork.
“With Ember, we know our coding is accurate and our payments are correct. The difference is huge.”
Lynn Hsing is a recognized leader in healthcare marketing. Having worked closely with health systems and providers, Lynn brings a nuanced understanding of the challenges they face — from administrative burden and claim denials to reimbursement delays and staff shortages. This firsthand insight has shaped Lynn’s ability to translate complex AI solutions into meaningful value for healthcare organizations.