Customer Story

ParCare was collecting $550K a month. Now it's $700K+. Same patients. Same payers. Different RCM.

How a 4-location multispecialty practice in Brooklyn stopped leaving money on the table and hit 96% collections.
I'm not even joking. I used to spend Sunday nights prepping for Monday's denial pile. Now I actually check our dashboard because I want to, not because I'm scared of what I'll find.

Mark Braun
Director of Revenue Cycle, ParCare Community Health Network

Quick Background

ParCare is a community health network with 4 locations across Brooklyn and Monroe, NY. They see everyone: Medicaid, Medicare, uninsured, underinsured. That's the mission.

They run 15+ specialties under one roof. Primary care, OB-GYN, cardiology, dermatology, physical therapy, psychiatry, pain management... basically if you need it, they probably do it.

From the outside, everything looked solid. Patients loved them. The clinics were busy.

But the revenue cycle? Leaking money they didn't even know about.

Number of locations

4

Annual Collections

$8.5mil

Specialties

15+


Here's what was actually happening

Their previous RCM vendor was okay. Not terrible. Just... not great. And "not great" adds up fast when you're processing thousands of claims a month.

Slow response times. Questions took 2-3 days to get answered. Urgent stuff sat in someone's inbox. By the time they heard back, half the appeal window was gone.

No visibility. They had no real-time view of what was pending, paid, or stuck. Everything was reactive. Find out about a problem after it's already cost you money.

Denials kept slipping through. A batch of OB-GYN claims got denied for "missing prior auth." The auths existed. They just didn't get attached. By the time anyone noticed, they'd lost the appeal window on a chunk of it.

Patterns nobody caught. Same coding mistakes happening across all 4 locations for months. No one flagged it. No one connected the dots.

When Mark finally started looking around, he wasn't angry. Just tired.

After Lavender Health

Metric

Before

After

Denial rate
18%
3.9%
Days in A/R
54 days
26 days
Monthly collections
~$550K
$700K+
Mark's evenings
Aging reports
His kids
✅ His front desk staff? They actually talk to patients now. Not insurance reps.

✅ His billing team? They handle exceptions. Not everything.

✅ His weekends? Actually weekends.

Mark focuses on strategy and growth.

Not denial triage. Not vendor management. Not "let me follow up on that follow-up."

What we actually did

Honestly? Nothing fancy. We just did the boring stuff really well. Every single day. For all 4 locations.

🔍 Eligibility verification before they sit down
Every patient. Every appointment. We check coverage, remaining benefits, auth requirements, payer quirks. Before they walk in. No more surprises mid-visit.

🧠 AI that catches what humans miss
Our AI flagged 34 claims in week two with a modifier issue they'd been making for months. Exposed a $38K problem across all 4 locations. No human would've spotted that pattern.

Claims scrubbed before they go out
Every claim runs through payer-specific rules before submission. Catches missing modifiers, auth gaps, NPI mismatches. We fix problems before they become denials.

🛡️ Denials worked before you even see them
When something does get denied, we're already on it. Appeals filed with documentation, clinical notes, whatever it takes. You get a report that says "here's what happened, here's what we're doing."

💰 AI Financial Advisor for patients
This one's big for community health. The AI checks coverage, balance, payment history, assistance programs, and recommends the right payment plan automatically. 34% of patients now set up plans before leaving. Collections calls dropped 60%.

👤 One person who knows your practice
Not a call center. Not a different person every time. One dedicated account manager who knows your payer mix, your problem codes, your locations. Responds same day. Usually within hours.

Lavender Health gets 99% of your receivables paid within 30 days.

Know what's working. Understand what's not. Make better decisions, now.

Let's Talk