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340B HealthTech Platform

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

Improve integrations and database architecture

Reduce operational cost of oversized tech team

Improve performance to support planned business growth

Automate manual claim matching

Introduce AI-enhanced processing for critical flows

Key Challenges

The platform suffered from multiple issues affecting both business and engineering:

Slow and unpredictable performance

Poor architecture with overengineered components

Lack of engineering standards and code review discipline

Missing or incorrect technical documentation

Inefficient manual processes (especially claim matching)

Bottlenecks in MS SQL, service integrations, and API latency

OUR APPROACH

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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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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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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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

Stabilized performance → more orders processed

Downsizing inefficient tech roles → reduced operational cost

Senior development team → significant improvement of database and API performance

AI enhancements → smarter and faster decision support

Documentation & Risk mapping → predictable scaling

Team

Tech Lead

Senior .NET Developers

Business Analyst

Data Engineer

QA Specialist

Contact

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