# Automated Prior Authorization

*/Opportunities/Automated_Prior_Authorization*

## Opportunity Overview

**Wedge**: Start with advanced imaging authorizations for independent orthopedic clinics. This niche involves highly standardized clinical criteria and creates immediate patient scheduling bottlenecks, providing rapid proof of value. From orthopedic imaging, expand into high-volume gastroenterology procedures, and eventually capture complex multi-stage oncology regimens.
**Timing**: Large language models now reliably extract specific medical criteria from unstructured electronic health records with the precision required to match complex payer guidelines. Simultaneously, the CMS Interoperability and Prior Authorization rule forces health plans to build decision APIs, replacing fax workflows with programmable endpoints.
**Why This I C P**: Mid-market specialty practices handle high-value procedures that uniformly require prior authorization, making the administrative burden an acute bottleneck. They feel the revenue delay immediately but lack the massive back-office staffing of enterprise hospital systems, driving them to adopt automated labor.
**Size Of Prize**: Roughly 200,000 specialty and mid-market medical practices in the US spend an average of $30,000 annually on dedicated prior authorization labor. Converting this manual headcount spend directly into an automated service yields an addressable prize of $6B.
**Gap Narrative**: Medical practices lose millions to delayed or denied prior authorizations because the process relies on manual data entry across fragmented payer portals. Existing software only flags the need for authorization but still requires humans to read clinical notes and fax documents. Clinics need an agent that reads the patient chart, fills the payer forms, and submits the exact required medical evidence autonomously.
**Defensibility**: The system compounds advantage through payer-specific approval models trained on successful and denied submissions. As the agent processes volume, it maps the undocumented shadow rules of individual regional health plans, creating a proprietary rules engine. Deep workflow lock-in develops once a clinic terminates its outsourced billing vendor and relies entirely on the service for revenue continuity.
**Why This Thesis**: A Service-as-Software approach directly replaces outsourced billing headcount rather than adding another workflow tool to a medical biller's screen. Practice managers pay for completed, approved authorizations, aligning the product directly with revenue realization.

## Opportunity Linked Thesis

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

## Opportunity Linked I C P

**Icp**: [Specialty Medical Practice](/CompanyTypes/Specialty_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**: ~$800M - $1.2B (high-volume procedural specialties like orthopedics, oncology, and cardiology)
**S O M**: ~$30M - $50M
**T A M**: ~100,000 US specialty medical practices × ~$25,000 - $35,000/yr per practice ≈ ~$2.5B - $3.5B
**Growth Rate**: ~14-18%/yr, driven by increasing payer authorization requirements and rising administrative staff wages
**Paid Comparable Spend**: ~$45,000 - $80,000/yr per practice allocated to manual billing FTEs, outsourced RCM services, and per-transaction clearinghouse fees

## Opportunity Incumbents

- [CoverMyMeds Platform](/Products/CoverMyMeds_Platform) — Tool
- [Availity Authorization](/Products/Availity_Authorization) — Tool
- [Change Healthcare](/Products/Change_Healthcare) — Service
- [Manual Fax Routing](/Products/Manual_Fax_Routing) — DIY
- [Prior Auth Spreadsheets](/Products/Prior_Auth_Spreadsheets) — Spreadsheet
- [Cohere Health Platform](/Products/Cohere_Health_Platform) — Tool
- [Outsourced Billing Agencies](/Products/Outsourced_Billing_Agencies) — Service

## Opportunity Win Conditions

**Kill Thresholds**:
- Human escalation exceeds 40 percent of total volume at day 60
- Payer portal blocking rate exceeds 15 percent of volume
- EHR integration timeline exceeds 21 days per practice
- Zero conversions to paid contracts within 90 days
**Leading Metrics**:
- EHR data extraction accuracy percent
- Human-in-the-loop escalation rate
- Payer portal authentication success rate
- First-pass payer approval rate
- End-to-end time per authorization submission
**What Proves Right**: Automated Prior Authorization extracts patient demographics and clinical notes from the EHR, formats the data into payer-specific rules, and submits the request directly to the payer portal. Validation occurs when clinics hit 75 percent auto-submission rates across top payers within 30 days. Users pay 2000 USD monthly after observing a 48-hour reduction in turnaround time.
**What Proves Wrong**: Failure occurs when payer portals block automated access and force the system to generate manual faxes. Clinic staff distrust the extraction and manually review every field, eliminating the labor savings. First-pass rejection rates on complex authorizations rise above 20 percent, forcing more manual rework than the legacy process.

## Opportunity Build Profile

**Hardest Part**: Maintaining high-fidelity extraction of clinical justification from messy EHR notes to satisfy opaque, frequently changing payer guidelines without triggering automated denials.
**Min Viable Scope**: Support a single high-margin specialty like orthopedics for the top three commercial payers in one state. Deliberately exclude Medicare, out-of-network exceptions, and cross-specialty general medicine workflows.
**Cold Start Problem**: Payer rules are poorly documented and vary by region, meaning the engine lacks decision logic until processing real submissions and mapping denials. Break this by partnering with a mid-sized specialty clinic to ingest historical claims data and reverse-engineer successful authorizations.
**Time To First Value**: 2 to 4 weeks of integration to map EHR fields to the decision engine and validate parallel test submissions.
**Data Moat Available**: true
**Technical Difficulty**: High

## Neighborhood

### Where the gap lives

- [Primary Case Manager](/JobTypes/Primary_Case_Manager) — latent gap · JobTypes

### Surfaced from

- [Claims Processing BPOs](/CompanyTypes/Claims_Processing_BPOs) — surfaces · CompanyTypes
- [Single-Provider PT Clinic](/CompanyTypes/Single-Provider_PT_Clinic) — surfaces · CompanyTypes
- [Regional Health System](/CompanyTypes/Regional_Health_System) — surfaces · CompanyTypes

### Incumbent in

- [Availity AuthCenter](/Products/Availity_AuthCenter) — incumbent in · Products
- [Prior Auth Spreadsheets](/Products/Prior_Auth_Spreadsheets) — incumbent in · Products
- [Manual Fax Routing](/Products/Manual_Fax_Routing) — incumbent in · Products
- [Outsourced Billing Agencies](/Products/Outsourced_Billing_Agencies) — incumbent in · Products
- [Change Healthcare](/Products/Change_Healthcare) — incumbent in · Products
- [Cohere Health Platform](/Products/Cohere_Health_Platform) — incumbent in · Products
- [CoverMyMeds Platform](/Products/CoverMyMeds_Platform) — incumbent in · Products

### Applies thesis

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

### Embodies

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

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