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Healthcare Revenue Cycle Management AI

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Overview

A revenue cycle management overlay for medical groups, hospitals, ASCs, and billing companies. The system ingests denied and pending claims from your billing platform, classifies each denial by root cause (eligibility, prior auth, medical necessity, coding, timely filing), auto-corrects the issues that can be fixed mechanically (missing modifiers, eligibility re-checks, coding to highest billable specificity), drafts appeals using payer-specific language patterns that have historically worked, and prioritizes the high-dollar recoverable queue for human attention. Re-submitted claims go back out automatically. Recovery is tracked daily.

The Challenge

Healthcare revenue cycle is gnarly because every payer is different — Aetna's denial codes mean something different than UHC's, prior-auth requirements vary by CPT and plan, and appeal language that works for one payer fails for another. The system has to know payer-specific quirks at the line-item level. It has to be HIPAA-compliant end to end. It has to integrate with the practice's existing billing platform without forcing a rip-and-replace. And it has to be honest about which denials are actually recoverable so the billing team doesn't waste hours chasing $40 claims.

Our Approach

We build a per-payer denial classifier on top of your historical claims data. Auto-resolution paths cover the high-volume mechanical denials (eligibility, coding, modifier). Appeal drafting uses payer-specific templates that we maintain against the major commercial payers and Medicare. Prioritization is by expected recovery value times probability — so the queue your team sees is genuinely the highest-leverage work. HIPAA-eligible architecture end to end. Integration with Athena, Epic, eClinicalWorks, AdvancedMD, Kareo, custom — typically as an overlay that reads claims and writes back resubmissions and appeal documentation.

Key Features

  • Per-payer denial classification by root cause
  • Auto-resolution of high-volume mechanical denials
  • Eligibility re-checks via real-time 270/271 against payer APIs
  • Appeal drafting using payer-specific historical language patterns
  • Priority queue ranked by expected recovery value × probability
  • HIPAA-eligible architecture, end to end
  • Integration with major EHR/billing platforms
  • Daily recovery dashboard for billing leadership

Results

Several %
Of net revenue typically recovered from write-off
$3M+/mo
Recovery scale on a mid-size medical group
88%
Of mechanical denials auto-resolvable
HIPAA
Eligible architecture, BAA in place

Try It Yourself

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Category

Industry

Tech Stack

OpenAI GPT-4 Custom Medical NLP Python HL7 FHIR Epic/Cerner Integration Custom Rules Engine React Dashboard

Quick Stats

Several % Of net revenue typically recovered from write-off
$3M+/mo Recovery scale on a mid-size medical group
88% Of mechanical denials auto-resolvable
HIPAA Eligible architecture, BAA in place

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