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Sunrise Cardiology Group
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Cardiology10 providers · Miami, FL

Sunrise Cardiology Group

“Our billing team discovered we'd been undercoding for years. MedAgento's AI coding suggestions recovered over $2 million in the first year alone.”

— Jennifer Walsh, CFO

+$2.1M

Recovered Revenue

+28%

Coding Accuracy

-79%

Claim Turnaround

Excellent
4.9

About the practice

Sunrise Cardiology Group is a 10-provider cardiology practice in Miami, Florida, performing over 15,000 encounters annually across interventional, electrophysiology, and general cardiology. CFO Jennifer Walsh suspected the practice was leaving significant revenue on the table due to inconsistent coding practices.

Products used

AI Coding SuggestionsBilling & ClaimsAI ScribeAnalytics DashboardSmart SchedulingPatient Portal

The challenge

With 10 providers each coding their own encounters, there was no standardization. An internal audit revealed a coding accuracy rate of just 76%, with most errors being undercodes, not overcodes. The practice was systematically undervaluing complex cardiology procedures. Claim denials ran at 12%, and the average turnaround from encounter to claim submission was 14 days.

The solution

MedAgento's AI coding suggestions analyze each encounter's assessment and plan to recommend accurate ICD-10 and CPT codes with confidence levels. Providers review and approve suggestions in seconds. Automated claim submission reduced turnaround from 14 days to 3 days. The billing team focused on exception handling rather than manual coding.

The results

Measurable outcomes after 90 days on MedAgento.

Recovered Revenue

$0$2.1M/yr
+$2.1M

Coding Accuracy

76%97%
+28%

Claim Turnaround

14 days3 days
-79%

Key results

AI coding suggestions identified systematic undercoding across cardiology encounters
Claim denial rate dropped from 12% to 2% with accurate code suggestions
Automated claim submission reduced billing staff workload by 60%
Recovered $2.1M in the first year from previously undercoded procedures
Providers spend seconds reviewing AI suggestions vs. minutes manual coding

Implementation timeline

From signup to full adoption. Here's how the transition unfolded.

1

Week 1-2

Practice setup for 10 providers, historical data migration, billing configuration

2

Week 3

AI coding activated, billing team trained on review workflow

3

Month 1

Coding accuracy jumped from 76% to 91%, undercoding patterns identified

4

Month 2

Automated claim submission activated, turnaround dropped to 5 days

5

Month 6

Coding accuracy at 97%, $2.1M annualized recovered revenue confirmed

“Our billing team discovered we'd been undercoding for years. MedAgento's AI coding suggestions recovered over $2 million in the first year alone.”
Jennifer Walsh

Jennifer Walsh

CFO, Sunrise Cardiology Group

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