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Development of Scalable Medication Cost Comparison Platform
  1. case
  2. Development of Scalable Medication Cost Comparison Platform

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Development of Scalable Medication Cost Comparison Platform

gloriumtech.com
Health & Fitness
Wellness & Fitness

Challenges in Medication Cost Management

Organizations face difficulties in accurately comparing pharmacy benefit manager (PBM) proposals against existing contracts due to complex calculations, large datasets, and integration challenges with external drug pricing databases. Existing manual processes create inefficiencies and potential inaccuracies in cost projections.

About the Client

Health technology company disrupting traditional insurance brokerage models through data-driven medication cost optimization

Project Goals

  • Build a scalable web application for medication cost comparison
  • Implement accurate multithreaded calculation engine
  • Enable seamless integration with industry-standard drug pricing databases
  • Ensure secure handling of sensitive healthcare data

Core System Functionalities

  • User authentication and role-based access control
  • Secure data upload and processing pipeline
  • Real-time comparative analysis of PBM proposals
  • Contract renewal cost projection calculator
  • Interactive reporting dashboard with export capabilities

Technology Stack Requirements

Angular
.NET Core
ASP.NET Core
Azure
PostgreSQL

External System Integrations

  • MediSpan API
  • NADAC Database
  • SFTP Protocol Implementation

Non-Functional Requirements

  • Horizontal scalability for handling large datasets
  • Sub-second response times for calculation operations
  • Enterprise-grade data encryption and security protocols
  • High-availability architecture with failover mechanisms

Expected Business Impact

The platform will enable healthcare organizations to reduce medication procurement costs by 15-20% through data-driven PBM selection, while decreasing contract analysis time by 70%. The solution will provide actionable insights for contract negotiations and ensure compliance with healthcare data regulations.

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