# Spirus

*/Startups/Spirus*

## Startup Overview

This medical coding engine parses unstructured respiratory clinic notes into standardized billing codes. It reads dictated physician summaries, lab results, and patient histories to extract the specific diagnostic and procedural data required for reimbursement.

Respiratory clinics lose margin and time translating complex pulmonary encounters into accurate medical claims. Manual human coders introduce days of delay and subjective variability, while default templates in electronic medical records like Epic fail to capture the clinical nuances of specialized respiratory care.

Unlike ambient dictation tools such as Nuance DAX that still require administrative review, this system executes the complete coding translation with zero humans in the loop. It connects directly to billing infrastructure and prices its service strictly on accepted billing outcomes, removing fixed overhead and tying costs entirely to actual realized revenue.

## Startup Founding Hypothesis

**Approach**: that parses unstructured respiratory clinic notes into standardized billing codes
**Competitors**:
- [Human Medical Coders](/Competitors/Human_Medical_Coders)
- [Epic EMR Defaults](/Competitors/Epic_EMR_Defaults)
- [Nuance DAX](/Competitors/Nuance_DAX)
**Differentiator2x2**: zero-human-in-the-loop for execution and priced strictly on accepted billing outcomes

## Startup Solution Coordinate

**Solution**: [Spirus Autonomous Coder](/Services/Spirus_Autonomous_Coder)

## Startup Position2x2

```mermaid
quadrantChart
    title Medical Coding Automation & Pricing
    x-axis Fixed/Seat Pricing --> Outcome-Based Pricing
    y-axis Human-in-Loop --> Zero-Human-in-the-Loop
    quadrant-1 Fully Autonomous & Outcome-Aligned
    quadrant-2 Autonomous but Fixed Cost
    quadrant-3 Manual & Fixed Cost
    quadrant-4 Manual but Outcome-Aligned
    Human Medical Coders: [0.15, 0.15]
    Epic EMR Defaults: [0.10, 0.35]
    Nuance DAX: [0.20, 0.65]
    Spirus: [0.90, 0.90]
```

## Startup Offer

**Proof**:
- Targeting a 95%+ first-pass acceptance rate for specialized pulmonology claims.
- Aiming to reduce medical coding backlog times from 48 hours to under 60 seconds.
- Designed to capture 10-15% more valid respiratory modifiers than standard EHR default templates.
**Tiers**:
- Name: Independent Practice · Price: ~$1.00–$2.00 per accepted claim · Inclusions: Unstructured note parsing, CPT/ICD-10 extraction, and automated EHR write-back intended for clinics processing up to 2,000 respiratory visits per month.
- Name: Health System · Price: ~$0.40–$0.90 per accepted claim · Inclusions: High-volume batch API access, advanced audit trails, and multi-facility routing designed for networks processing over 10,000 charts per month.
**Guarantee**: Spirus charges strictly on accepted billing outcomes; if a claim is rejected due to an incorrect code generated by our system, the transaction fee is waived and a corrected mapping is provided at no cost.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: Our EHR already has built-in coding suggestions. Rebuttal: Spirus is designed to identify complex, multi-layered respiratory modifiers hidden in unstructured free-text that generic EHR templates miss.
- Objection: AI models hallucinate medical codes. Rebuttal: The system strictly maps extracted text spans directly to verifiable ICD-10 and CPT guidelines, providing an exact audit trail for every code.
- Objection: We cannot afford workflow disruptions to install this. Rebuttal: Spirus is intended to integrate via standard HL7/FHIR feeds, silently processing notes and writing back codes without requiring any new interface for the physician.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol
- stored-credential

## Startup Brand

**Voice**: Clinical and decisive, focused entirely on verifiable billing accuracy.
**Tagline**: Convert respiratory clinic notes into accepted medical claims automatically.
**Icon Concept**: lung
**Palette Intent**: institutional-cool
**Visual Identity**: Crisp oxygen-blue and sterile white tones project clinical reliability, supported by stark, high-contrast typography that mirrors the exactness of a standardized diagnosis code.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Spirus → Pulmonology Practice Administrator → Medical Billing Department
**Gtm Motion**: Direct sales to pulmonology practice administrators offering a performance-based pilot where fees trigger only on accepted claims. Expansion happens by scaling the deployment from a single respiratory provider's daily chart volume to the entire clinic network's patient load.
**Agent Channel**: Designed to register in healthcare-specific AI tool registries and EMR orchestration catalogs, enabling autonomous revenue cycle agents to discover and call the note-parsing endpoint via a structured OpenAPI specification.
**Primary Channel**: Targeted outbound to practice managers via platforms like LinkedIn and MGMA (Medical Group Management Association), alongside an intended listing in the Epic App Market designed for discovery when administrators search for specialty-specific respiratory coding add-ons.

## Startup Customer Journey

```mermaid
flowchart LR; A[Epic App Market] --> B[Performance Pilot]; B --> C[Accepted Claim]; C --> D[Single Provider]; D --> E[Clinic Network]; E --> F[MGMA Community];
```

## Startup Proof Points

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

**Pilot Goals**:
- A 30-day historical chart audit pilot analyzing 2,000 previously billed respiratory visits to prove the system can identify 10-15% more valid modifiers than the original manual coding process
- A 60-day live integration pilot with a 3-physician independent practice aiming to validate sub-60-second note parsing and EHR write-back via standard HL7/FHIR feeds
- A 90-day high-volume batch processing pilot with a health system targeting a sustained 95% first-pass claim acceptance rate across 10,000 charts to justify the enterprise pricing tier
**Target Metrics**:
- Target: 95%+ first-pass acceptance rate for specialized pulmonology claims processed by the system
- Aim: Reduction in medical coding backlog times from an average of 48 hours to under 60 seconds per chart
- Target: 10% to 15% increase in valid respiratory modifiers captured compared to baseline standard EHR default templates
- Aim: Zero transaction fees paid on any claim rejected due to an incorrect code generated by the system
**Target Case Studies**:
- A mid-sized independent pulmonology clinic validating the transition from a 48-hour manual coding backlog to sub-60-second automated CPT/ICD-10 extraction directly from unstructured physician notes
- A regional health system revenue cycle department demonstrating the successful processing of over 10,000 respiratory charts per month via HL7/FHIR integration without requiring physicians to adopt new interface tools
- A multi-physician respiratory specialist practice proving the financial impact of capturing complex, multi-layered respiratory modifiers hidden in free-text that their generic EHR templates previously missed
**Testimonial Targets**:
- Lead Medical Coder expressing relief that the system strictly maps extracted text spans directly to verifiable guidelines, providing a trusted audit trail rather than black-box AI hallucinations
- Director of Revenue Cycle validating that the automated EHR write-back integrated silently and required absolutely no workflow disruption or new software training for the clinical staff
- Managing Partner of a pulmonology clinic affirming the zero-risk nature of the usage-metered pricing where they only pay for accepted billing outcomes

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Zero-human-in-the-loop upcoding or hallucinated diagnoses trigger Medicare audits and severe financial penalties for partner clinics. · Mitigation Status: in-progress
- Severity: high · Description: Epic EMR revokes API write-access for third-party billing automation to protect its native coding tools. · Mitigation Status: unmitigated
- Severity: high · Description: Strict outcome-based pricing yields zero revenue while incurring high compute costs if insurance payers systematically deny initial AI-generated claims. · Mitigation Status: in-progress
- Severity: moderate · Description: Nuance DAX bundles automated respiratory coding into its existing enterprise transcription contracts to freeze out standalone point solutions. · Mitigation Status: unmitigated

## Startup Competitors

- [Human Medical Coders](/Competitors/Human_Medical_Coders) — Status Quo
- [Epic EMR Defaults](/Competitors/Epic_EMR_Defaults) — Incumbent
- [Nuance DAX](/Competitors/Nuance_DAX) — Ambient AI
- [Nym Health](/Competitors/Nym_Health) — Autonomous Coding
- [Fathom Health](/Competitors/Fathom_Health) — Medical Coding AI

## Startup Solution Stack

- [Respiratory Billing Service](/Services/Respiratory_Billing_Service) — Service-as-Software
- [Clinical Note Parsing Agent](/Agents/Clinical_Note_Parsing_Agent) — Agent
- [Code Validation Worker](/Agents/Code_Validation_Worker) — Agent
- [Respiratory Terminology Engine](/Software/Respiratory_Terminology_Engine) — Software
- [Claim Submission API](/Software/Claim_Submission_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the strategic navigator of practice profitability rather than a backlog technician
- **Want**: to convert respiratory clinic notes into accepted medical claims automatically
- **Identity**: the revenue cycle manager at a high-volume pulmonology clinic
**Plan**:
- Step: Connect · Detail: Enable the HL7/FHIR feed to allow silent processing of incoming respiratory clinic notes.
- Step: Review · Detail: Monitor the live feed as clinical narratives transform into standardized billing codes within seconds.
- Step: Execute · Detail: Submit claims with 10-15% more valid modifiers captured compared to standard EHR default templates.
**Guide**:
- **Empathy**: Clean claims are won in the first 60 seconds of note completion — but the nuances of multi-layered respiratory modifiers often evaporate in generic EHR templates.
**Problem**:
- **Villain**: manual chart review
- **External**: Respiratory notes in Epic EMR stay trapped as unstructured free-text, requiring human coders to spend 48 hours extracting CPT and ICD-10 codes.
- **Internal**: You feel the constant pressure of a growing coding backlog that delays every reimbursement check.
- **Philosophical**: Clinical documentation was built for patient care, not for the manual extraction of billing modifiers.
**Success**: Claims reach a 95% first-pass acceptance rate while the coding backlog drops from days to under 60 seconds.
**One Liner**: Every day, revenue cycle managers struggle with manual chart extraction. Spirus parses unstructured respiratory notes into standardized billing codes so clinics achieve a 95% first-pass claim acceptance rate.
**Positioning**:
- **So That**: notes convert to accepted claims in under 60 seconds
- **Unlike**: human medical coders
- **For Whom**: pulmonology clinics and health systems
- **Category**: Automated respiratory medical coding
**Call To Action**:
- **Direct**: Process a claim
- **Transitional**: View sample code extraction
**Failure Stakes**:
- 48-hour coding backlogs
- Missed respiratory modifiers
- Rejected medical claims
**Transformation**:
- **To**: the pulmonology practice's revenue architect
- **From**: the manager drowning in unparsed Epic chart notes
**Controlling Idea**: Respiratory billing should be a byproduct of clinical documentation, not a manual chore.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Every day, revenue cycle managers struggle with manual chart extraction. Spirus parses unstructured respiratory notes into standardized billing codes so clinics achieve a 95% first-pass claim acceptance rate.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 034ab2cbfdd93a30

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Automated respiratory medical coding for pulmonology clinics and health systems. Unlike human medical coders — notes convert to accepted claims in under 60 seconds.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: b70a4129040c61eb

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Respiratory notes in Epic EMR stay trapped as unstructured free-text, requiring human coders to spend 48 hours extracting CPT and ICD-10 codes.
Solution: Every day, revenue cycle managers struggle with manual chart extraction. Spirus parses unstructured respiratory notes into standardized billing codes so clinics achieve a 95% first-pass claim acceptance rate.
Customer: pulmonology clinics and health systems
Unlike: human medical coders
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 3ed69402d3533a60

## Startup Token M E D D P I C C

**Pain**: Respiratory notes in Epic EMR stay trapped as unstructured free-text, requiring human coders to spend 48 hours extracting CPT and ICD-10 codes.
**Metrics**: Target: Claims reach a 95% first-pass acceptance rate while the coding backlog drops from days to under 60 seconds.
**Rendered**: Pain: Respiratory notes in Epic EMR stay trapped as unstructured free-text, requiring human coders to spend 48 hours extracting CPT and ICD-10 codes.
Economic buyer: Pulmonology Practice Administrator
Metrics: Target: Claims reach a 95% first-pass acceptance rate while the coding backlog drops from days to under 60 seconds.
Competition: human medical coders
**Mechanism**: spine-derived-v1
**Competition**: human medical coders
**Economic Buyer**: Pulmonology Practice Administrator
**Vocab Fingerprint**: ec7000df2969e622

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Automated respiratory medical coding for pulmonology clinics and health systems

pulmonology clinics and health systems — Respiratory notes in Epic EMR stay trapped as unstructured free-text, requiring human coders to spend 48 hours extracting CPT and ICD-10 codes. Every day, revenue cycle managers struggle with manual chart extraction. Spirus parses unstructured respiratory notes into standardized billing codes so clinics achieve a 95% first-pass claim acceptance rate.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 949a24d498ac6eb4

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Automated respiratory medical coding. Every day, revenue cycle managers struggle with manual chart extraction. Spirus parses unstructured respiratory notes into standardized billing codes so clinics achieve a 95% first-pass claim acceptance rate. Serves pulmonology clinics and health systems.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: fd988c6c95b5f9e3

## Neighborhood

### Candidate solutions

- [Log Aggregation Schema Mapping](/Problems/Log_Aggregation_Schema_Mapping) — candidate solution for · Problems
- [API Integration Drop-Off](/Problems/API_Integration_Drop-Off) — candidate solution for · Problems

### Composed of

- [Token Sieve SDK](/Software/Token_Sieve_SDK) — composes · Software
- [DOM Traversal Agent](/Agents/DOM_Traversal_Agent) — composes · Agents
- [Payload Normalization Service](/Services/Payload_Normalization_Service) — composes · Services
- [Extraction Conduit API](/Software/Extraction_Conduit_API) — composes · Software
- [Buffer Polling Worker](/Agents/Buffer_Polling_Worker) — composes · Agents
- [Payload Chunking SDK](/Software/Payload_Chunking_SDK) — composes · Software
- [Async Polling Agent](/Agents/Async_Polling_Agent) — composes · Agents
- [State Management Worker](/Agents/State_Management_Worker) — composes · Agents
- [Fallback Routing API](/Software/Fallback_Routing_API) — composes · Software
- [Extraction Orchestration Service](/Services/Extraction_Orchestration_Service) — composes · Services
- [Code Validation Worker](/Agents/Code_Validation_Worker) — composes · Agents
- [Respiratory Terminology Engine](/Software/Respiratory_Terminology_Engine) — composes · Software
- [Claim Submission API](/Software/Claim_Submission_API) — composes · Software
- [Respiratory Billing Service](/Services/Respiratory_Billing_Service) — composes · Services
- [Clinical Note Parsing Agent](/Agents/Clinical_Note_Parsing_Agent) — composes · Agents

### Embodies

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

### What it offers

- [Extraction Middleware Agent](/Agents/Extraction_Middleware_Agent) — offers · Agents
- [Context Sieve](/Agents/Context_Sieve) — offers · Agents
- [Spirus Autonomous Coder](/Services/Spirus_Autonomous_Coder) — offers · Services

### Competitors

- [hardcoded scraping scripts](/Competitors/hardcoded_scraping_scripts) — competes with · Competitors
- [Puppeteer clusters](/Competitors/Puppeteer_clusters) — competes with · Competitors
- [Beautiful Soup](/Competitors/Beautiful_Soup) — competes with · Competitors
- [Playwright automation libraries](/Competitors/Playwright_automation_libraries) — competes with · Competitors
- [hardcoded Playwright scripts](/Competitors/hardcoded_Playwright_scripts) — competes with · Competitors
- [custom Puppeteer clusters](/Competitors/custom_Puppeteer_clusters) — competes with · Competitors
- [synchronous API wrappers](/Competitors/synchronous_API_wrappers) — competes with · Competitors
- [Playwright Automation Library](/Competitors/Playwright_Automation_Library) — competes with · Competitors
- [custom scraping scripts](/Competitors/custom_scraping_scripts) — competes with · Competitors
- [Puppeteer Headless Browser](/Competitors/Puppeteer_Headless_Browser) — competes with · Competitors
- [Puppeteer Browser Clusters](/Competitors/Puppeteer_Browser_Clusters) — competes with · Competitors
- [Playwright Automation Scripts](/Competitors/Playwright_Automation_Scripts) — competes with · Competitors
- [Self-Hosted Puppeteer Clusters](/Competitors/Self-Hosted_Puppeteer_Clusters) — competes with · Competitors
- [Manual Polling Mechanisms](/Competitors/Manual_Polling_Mechanisms) — competes with · Competitors
- [Apify](/Competitors/Apify) — competes with · Competitors
- [Puppeteer](/Competitors/Puppeteer) — competes with · Competitors
- [Playwright](/Competitors/Playwright) — competes with · Competitors
- [Hardcoded Polling Scripts](/Competitors/Hardcoded_Polling_Scripts) — competes with · Competitors
- [Custom Polling Middleware](/Competitors/Custom_Polling_Middleware) — competes with · Competitors
- [custom headless browser clusters](/Competitors/custom_headless_browser_clusters) — competes with · Competitors
- [Self-Hosted Scraping Clusters](/Competitors/Self-Hosted_Scraping_Clusters) — competes with · Competitors
- [Puppeteer Headless Browsers](/Competitors/Puppeteer_Headless_Browsers) — competes with · Competitors
- [Manual Polling Logic](/Competitors/Manual_Polling_Logic) — competes with · Competitors
- [Playwright Scripts](/Competitors/Playwright_Scripts) — competes with · Competitors
- [Playwright clusters](/Competitors/Playwright_clusters) — competes with · Competitors
- [synchronous timeout wrappers](/Competitors/synchronous_timeout_wrappers) — competes with · Competitors
- [Local Scraping Scripts](/Competitors/Local_Scraping_Scripts) — competes with · Competitors
- [Synchronous Extraction APIs](/Competitors/Synchronous_Extraction_APIs) — competes with · Competitors
- [Puppeteer Headless Clusters](/Competitors/Puppeteer_Headless_Clusters) — competes with · Competitors
- [Synchronous Playwright Wrappers](/Competitors/Synchronous_Playwright_Wrappers) — competes with · Competitors
- [Playwright Libraries](/Competitors/Playwright_Libraries) — competes with · Competitors
- [Synchronous Managed APIs](/Competitors/Synchronous_Managed_APIs) — competes with · Competitors
- [Self-Hosted Puppeteer](/Competitors/Self-Hosted_Puppeteer) — competes with · Competitors
- [Cheerio HTML Parser](/Competitors/Cheerio_HTML_Parser) — competes with · Competitors
- [Beautiful Soup Parser](/Competitors/Beautiful_Soup_Parser) — competes with · Competitors
- [hardcoded polling mechanisms](/Competitors/hardcoded_polling_mechanisms) — competes with · Competitors
- [Custom Playwright Wrappers](/Competitors/Custom_Playwright_Wrappers) — competes with · Competitors
- [Synchronous Parsing Wrappers](/Competitors/Synchronous_Parsing_Wrappers) — competes with · Competitors
- [Synchronous REST APIs](/Competitors/Synchronous_REST_APIs) — competes with · Competitors
- [Custom Playwright Scripts](/Competitors/Custom_Playwright_Scripts) — competes with · Competitors
- [Apify Synchronous Endpoints](/Competitors/Apify_Synchronous_Endpoints) — competes with · Competitors
- [Local BeautifulSoup Parsers](/Competitors/Local_BeautifulSoup_Parsers) — competes with · Competitors
- [Apify Managed Webhooks](/Competitors/Apify_Managed_Webhooks) — competes with · Competitors
- [Manual Polling Loops](/Competitors/Manual_Polling_Loops) — competes with · Competitors
- [Custom Polling Scripts](/Competitors/Custom_Polling_Scripts) — competes with · Competitors
- [Nuance DAX](/Competitors/Nuance_DAX) — competes with · Competitors
- [Human Medical Coders](/Competitors/Human_Medical_Coders) — competes with · Competitors
- [Epic EMR Defaults](/Competitors/Epic_EMR_Defaults) — competes with · Competitors
- [Fathom Health](/Competitors/Fathom_Health) — competes with · Competitors
- [Nym Health](/Competitors/Nym_Health) — competes with · Competitors

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