Idea
AI system automating medical coding with scalable accuracy and transparent evidence linking codes to clinical text.
Research Paper
Core Innovation
This paper introduces Symphony, which uniquely integrates direct access to coding guidelines into an AI system that reasons over clinical text like expert coders. Unlike prior models limited to fixed code sets and lacking explanations, Symphony adapts to any coding system and provides span-level evidence for each predicted code, enhancing transparency and flexibility.
Why It Matters
Medical coding is critical for billing, research, and quality reporting but remains manual, slow, and error-prone. Symphony reduces coding time and errors by automating code assignment with explainability, enabling trust and compliance in healthcare workflows. Its adaptability to any coding system supports broad adoption and scalability across healthcare providers.
Market Size (TAM)
$10–20B TAM for medical coding automation; $2–5B SAM from hospitals, insurers, and billing companies. Driven by increasing healthcare data volume and regulatory compliance demands.
Potential Customers & Pain Points
- Hospitals – Manual coding delays and errors
- Health insurers – Inaccurate claims processing
- Clinical researchers – Inconsistent data coding
- Medical billing companies – High labor costs
- Healthcare IT vendors – Need for scalable coding solutions
Business Model
Subscription-based SaaS platform licensed to healthcare providers, insurers, and billing companies with tiered pricing based on volume and features including API access and customization.
Competitive Landscape
- 3M Health Information Systems
- Optum360
- Cerner Coding Solutions
- M*Modal
- Dolbey Systems
Implementation Challenges
- Integration with diverse EHR systems
- Regulatory approval and compliance
- User trust in AI-generated codes
- Continuous updates to coding standards
Validation Strategy
- Pilot deployments in hospitals and billing companies
- Comparative studies against human coders and existing software
- Regulatory compliance audits
- User feedback collection for iterative improvement
Research Paper Overview
Symphony for Medical Coding: A Next-Generation Agentic System for Scalable and Explainable Medical Coding
Summary
Symphony is an AI system that automates medical coding by reasoning over clinical narratives with direct access to coding guidelines, enabling flexible adaptation to any coding system and providing explainable, span-level evidence for each code prediction. It achieves state-of-the-art accuracy across diverse clinical settings in the US and UK, improving speed and reliability in medical coding workflows.