# Claim Resolution Engine

*/Occupations/Healthcare_Practitioners_and_Technical_Occupations/Opportunities/Claim_Resolution_Engine*

## Opportunity Overview

**Wedge**: The initial beachhead targets outpatient radiology and diagnostic imaging centers. Imaging claims are high-volume, frequently denied for standard medical necessity reasons, and rely on highly structured clinical reports, enabling fast proof-of-value. Expansion follows by moving into specialty practices like orthopedics and cardiology, before tackling complex general hospital inpatient billing.
**Timing**: Large language models now possess the context windows to ingest dense, unstructured clinical documentation and cross-reference it against complex, frequently updated payer adjudication rules. Furthermore, FHIR interoperability standards allow automated extraction of these records directly from electronic health record systems.
**Why This I C P**: Independent physician practices operate on thin margins and lack the massive in-house billing armies of large hospital networks. The pain of denied claims is acute and immediately measurable in their cash flow, making them highly motivated early-movers.
**Size Of Prize**: Approximately 200,000 independent physician practices and hospital billing units in the US spend an average of $30,000 annually on outsourced revenue cycle labor and denial write-offs, yielding an addressable prize of roughly $6B.
**Gap Narrative**: Current revenue cycle management tools flag coding errors but leave the actual work of investigating clinical notes, cross-referencing payer policies, and drafting appeal letters to human billers. Healthcare practices need a system that autonomously executes the end-to-end medical claim appeal workflow without human intervention.
**Defensibility**: The engine builds a proprietary, compounding map of specific payer denial patterns and successful appeal arguments across multiple practices. Once integrated into the practice's electronic health record and clearinghouse, replacing the automated resolution engine requires reverting to expensive human labor, creating high switching costs.
**Why This Thesis**: Claim resolution is an outcome rather than a workflow; practices do not want to buy software to manage appeals, they want the cash recovered and deposited. Service-as-Software allows the provider to hand off the denied claim entirely and pay for the recovered revenue rather than buying a seat license for another dashboard.

## Opportunity Linked Thesis

**Thesis**: [Service-as-Software](/Theses/Service-as-Software)

## Opportunity Linked I C P

**Icp**: [Medical Practice](/CompanyTypes/Medical_Practice)

## Opportunity Market Sizing

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**S A M**: ~$2-3B US mid-sized independent medical practices and specialized diagnostic clinics
**S O M**: ~$50-150M
**T A M**: ~300,000 US physician practices and outpatient clinics × ~$25,000/yr ≈ ~$7.5B
**Growth Rate**: ~12-18%/yr, driven by increasingly aggressive payer denial algorithms and chronic shortages of trained medical billing staff
**Paid Comparable Spend**: ~4-8% of total net collections paid to legacy outsourced RCM (Revenue Cycle Management) vendors, or ~$50,000-$65,000/yr per fully-loaded in-house medical billing FTE

## Opportunity Incumbents

- [Waystar RCM](/Products/Waystar_RCM) — Tool
- [Epic Resolute](/Products/Epic_Resolute) — Tool
- [Change Healthcare](/Products/Change_Healthcare) — Tool
- [R1 RCM](/Products/R1_RCM) — Service
- [AGS Health](/Products/AGS_Health) — Service
- [Denial Tracking Spreadsheets](/Products/Denial_Tracking_Spreadsheets) — Spreadsheet
- [Manual Claim Ledgers](/Products/Manual_Claim_Ledgers) — Spreadsheet

## Opportunity Win Conditions

**Kill Thresholds**:
- Human-in-the-loop escalation > 60% on administrative denials after 45 days
- Cost to generate and submit an appeal > $15
- Payer portal block rate > 10% of total automated submissions
- Month-two churn > 25% for onboarded clinics
**Leading Metrics**:
- Time from denial ingestion to appeal submission (hours)
- First-pass automated appeal acceptance rate (%)
- Human-in-the-loop escalation rate per 100 claims
- Payer portal connection uptime (%)
- Net revenue recovered per active practice ($)
**What Proves Right**: Independent medical practices route at least 40% of their initial claim denials to the engine within the first 30 days of deployment. Cohorts retain at a 90% rate month-over-month when the system overturns denials at a cost lower than their internal billing staff. Customers adopt contingency pricing models where the system captures 10 to 15% of the total recovered revenue.
**What Proves Wrong**: Clinics restrict the engine to simple administrative corrections while keeping high-value clinical necessity denials entirely manual. Payer portals frequently block the automated submission infrastructure, requiring continuous human intervention to bypass security measures. The operational cost of running the human-in-the-loop fallback workflows exceeds the net revenue generated from the overturned claims.

## Opportunity Build Profile

**Hardest Part**: The single hardest technical challenge is deterministically matching vague payer denial remark codes from 835 remittance files to the precise clinical evidence buried in unstructured EHR notes without generating LLM hallucinations that constitute billing fraud.
**Min Viable Scope**: Focus exclusively on automating appeals for a single high-volume, low-complexity denial category, such as missing coding modifiers, for one specific outpatient specialty. Deliberately exclude complex inpatient surgical claims, initial claim scrubbing, and multi-payer contract variance tracking.
**Cold Start Problem**: The system requires thousands of historical denial-and-appeal pairs to learn payer-specific reversal triggers, but clinics strictly guard PHI and will not grant access to an unproven vendor. Break this by partnering with a mid-sized revenue cycle management firm to process their backlog of abandoned, written-off claims at zero cost in exchange for historical data access.
**Time To First Value**: 2-4 weeks, gated primarily by establishing secure API or SFTP connectivity to the practice clearinghouse to ingest the first batch of remittance files.
**Data Moat Available**: true
**Technical Difficulty**: High

## Neighborhood

### Where the gap lives

- [Residential care facilities](/Employers/Residential_care_facilities) — latent gap · Employers

### Applies thesis

- [Medical Practice](/CompanyTypes/Medical_Practice) — applies thesis · CompanyTypes

### Incumbent in

- [AGS Health](/Products/AGS_Health) — incumbent in · Products
- [Change Healthcare](/Products/Change_Healthcare) — incumbent in · Products
- [Denial Tracking Spreadsheets](/Products/Denial_Tracking_Spreadsheets) — incumbent in · Products
- [Epic Resolute](/Products/Epic_Resolute) — incumbent in · Products
- [Manual Claim Ledgers](/Products/Manual_Claim_Ledgers) — incumbent in · Products
- [R1 RCM](/Products/R1_RCM) — incumbent in · Products
- [Waystar RCM](/Products/Waystar_RCM) — incumbent in · Products

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses

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