AI-powered clinical coding solution automating ICD-10/CPT code assignment through EHR integration, reducing errors by 40% while maintaining compliance. Targets 500+ bed hospitals seeking to optimize revenue cycles and coder training programs.
CodeAssist revolutionizes medical coding through adaptive machine learning that interprets clinical narratives and suggests precise billing codes. By integrating directly with EPIC/Cerner systems, this solution addresses the $15B annual problem of coding errors while serving as both productivity tool and training platform for healthcare institutions navigating staff shortages.
Core functionality
- Real-time code suggestions with audit trails
- FHIR-compliant API integration
- Adaptive learning from coder feedback
- Compliance monitoring for 2024 ICD-11 transition
Target user and segment
Focus on 500+ bed hospitals in AU/NZ/UK markets, medical coding BPOs, and teaching hospitals with 40%+ coder turnover rates.
Recommended tech stack
- Python/Spark data pipelines
- Fine-tuned BioClinicalBERT models
- Azure Health Bot interface
- AWS HIPAA-compliant infrastructure
Estimated MVP costs
Base development: €89k (890h)
Risk-adjusted: €110k (1,100h)
Phased rollout over 6 months
SWOT-analysis
- Strength: Dual-use as coder training simulator
- Weakness: Monthly coding rule updates
- Opportunity: DRG optimization add-ons
- Threat: Unionized coder resistance
First 1000 customers strategy
Leverage health department pilots (€180k marketing budget) with 7% conversion target from freemium tier. CAC €2,400/hospital via EHR vendor co-selling.
Monetization
Tiered SaaS model averaging €4,200/month per hospital. Breakeven at 42 contracts with 1.2M chart/year throughput. Core team requires 2.75 FTEs.
Market positioning
Direct challenge to 3M’s legacy systems through AI/ML differentiation. Targets €420M ANZ market first, with FDA clearance roadmap for US expansion. Unique CDI prompts reduce clinical documentation gaps.
