340B HealthTech Platform
Industry: Healthtech
Services: Modernizing and rebuilding a US 340B Pharmacy Platform with Refactoring, Claim Automation & AI
Tech Stack: .NET, React, Azure, AWS, MS SQL, Docker, CI/CD pipelines
Team: 7 specialists
340B HealthTech Platform
Industry: Healthtech
Services: Modernizing and rebuilding a US 340B Pharmacy Platform with Refactoring, Claim Automation & AI
Tech Stack: .NET, React, Azure, AWS, MS SQL, Docker, CI/CD pipelines
Team: 7 specialists
340B HealthTech Platform
Industry: Healthtech
Services: Modernizing and rebuilding a US 340B Pharmacy Platform with Refactoring, Claim Automation & AI
Tech Stack: .NET, React, Azure, AWS, MS SQL, Docker, CI/CD pipelines
Team: 7 specialists
results
Performance improvement load time reduced by X%
Reduction in tech team cost by X%
Claim matching time reduction by X%
Increase in processed orders from 3M per month to X
Reduction in bugs in production by X%
About the client
A US-based HealthTech provider in the 340B pharmacy program serving patients, pharmacies, and healthcare professionals. Their product is a comprehensive platform that handles prescription workflows, orders, claims, and communication between multiple healthcare entities.
The system operates under strict regulatory expectations and must handle growing data volumes, real-time validation, and secure information flow.
GOALS
Stabilize a fragile legacy codebase
Stabilize a fragile legacy codebase
Improve integrations and database architecture
Improve integrations and database architecture
Reduce operational cost of oversized tech team
Reduce operational cost of oversized tech team
Improve performance to support planned business growth
Improve performance to support planned business growth
Automate manual claim matching
Automate manual claim matching
Introduce AI-enhanced processing for critical flows
Introduce AI-enhanced processing for critical flows
Key Challenges
The platform suffered from multiple issues affecting both business and engineering:
The platform suffered from multiple issues affecting both business and engineering:
Slow and unpredictable performance
Slow and unpredictable performance
Poor architecture with overengineered components
Poor architecture with overengineered components
Lack of engineering standards and code review discipline
Lack of engineering standards and code review discipline
Missing or incorrect technical documentation
Missing or incorrect technical documentation
Inefficient manual processes (especially claim matching)
Inefficient manual processes (especially claim matching)
Bottlenecks in MS SQL, service integrations, and API latency
Bottlenecks in MS SQL, service integrations, and API latency
OUR APPROACH
01
Backend Improvements
Refactored 10+ backend repositories Eliminated overengineering Introduced solid architectural patterns Improved service-to-service communication
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Backend Improvements
Refactored 10+ backend repositories Eliminated overengineering Introduced solid architectural patterns Improved service-to-service communication
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Backend Improvements
Refactored 10+ backend repositories Eliminated overengineering Introduced solid architectural patterns Improved service-to-service communication
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02
Frontend Enhancements
React cleanup and optimization Reduced load time Stabilized UI behavior
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Frontend Enhancements
React cleanup and optimization Reduced load time Stabilized UI behavior
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Frontend Enhancements
React cleanup and optimization Reduced load time Stabilized UI behavior
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Database Optimization
Reworked indexing Eliminated slow queries Improved transaction and concurrency handling
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Database Optimization
Reworked indexing Eliminated slow queries Improved transaction and concurrency handling
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Database Optimization
Reworked indexing Eliminated slow queries Improved transaction and concurrency handling
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Automation
Fully automated claim matching flow (formerly manual)
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Automation
Fully automated claim matching flow (formerly manual)
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Automation
Fully automated claim matching flow (formerly manual)
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AI Integration
AI-powered detection of mismatched or high-risk claims Performance improvement heuristics (early stage)
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AI Integration
AI-powered detection of mismatched or high-risk claims Performance improvement heuristics (early stage)
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AI Integration
AI-powered detection of mismatched or high-risk claims Performance improvement heuristics (early stage)
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Documentation & Predictability
Rebuilt all necessary documentation Identified future risks and provided a scaling roadmap
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Documentation & Predictability
Rebuilt all necessary documentation Identified future risks and provided a scaling roadmap
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Documentation & Predictability
Rebuilt all necessary documentation Identified future risks and provided a scaling roadmap
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What we achieved
Automation → faster claim processing
Automation → faster claim processing
Automation → faster claim processing
Stabilized performance → more orders processed
Stabilized performance → more orders processed
Stabilized performance → more orders processed
Downsizing inefficient tech roles → reduced operational cost
Downsizing inefficient tech roles → reduced operational cost
Downsizing inefficient tech roles → reduced operational cost
Senior development team → significant improvement of database and API performance
Senior development team → significant improvement of database and API performance
Senior development team → significant improvement of database and API performance
AI enhancements → smarter and faster decision support
AI enhancements → smarter and faster decision support
AI enhancements → smarter and faster decision support
Documentation & Risk mapping → predictable scaling
Documentation & Risk mapping → predictable scaling
Documentation & Risk mapping → predictable scaling
Team
Tech Lead
Senior .NET Developers
Business Analyst
Data Engineer
QA Specialist
Contact
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