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How Plutus Health Recovered $251K in Underpaid Out-of-Network Claims for an Anesthesia Group

Client Profile

Specialty: Anesthesia

Location: USA

Size: Four practices

This case study shows how an anesthesia group recovered significant additional reimbursement on out-of-network claims through disciplined No Surprises Act negotiation across multiple payers.

Overview:

44
Claims Accepted (YTD)
$1,273,195
Total Billed Charges
$298,573
Total Accepted Offers
$251,243
Recovery Above Initial Pay

Featured Result:

$75,000
Billed Charges
$1,088
Initial Payment
$67,500
Accepted Offer
90%
% of Billed Recovered

The Challenges:

An anesthesia group was receiving out-of-network reimbursements far below billed charges and needed to recover fair, market-aligned payment.

  • Out-of-network claims reimbursed at a fraction of billed charges
  • Lowball initial payer payments well below reasonable market rates for the services
  • Underpayments spread across many payers, with no single payer relationship to leverage
  • Recovery required navigating the No Surprises Act process claim-by-claim across four separate practices

Plutus Health Plan of Action:

Plutus reviewed each out-of-network claim to establish the gap between billed charges and the payer's initial payment, then pursued reimbursement through the No Surprises Act process. The approach included:

  • Comparing billed charges against each payer's initial payment to size the recovery opportunity
  • Initiating the No Surprises Act open negotiation process with the payer for each underpaid claim
  • Countering payer offers iteratively until reaching resolution

Issues Detected:

  • A single claim with BCBS TX was paid only $1,088 on a $75,000 billed charge - roughly 1.5% of billed charges
  • Across the claim set, $1,273,195 in total billed charges had yielded only $47,330 in initial payer payments before intervention
  • Underpayments were not isolated - they spanned multiple payers (BCBS TX, UHC, UMR, Cigna, Aetna, Meritain, and others) and four practices, indicating a payer-wide lowball pattern rather than a one-off error

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