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Enterprise-Ready Healthcare Scenario Modeling Platform Enhancement
  1. case
  2. Enterprise-Ready Healthcare Scenario Modeling Platform Enhancement

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Enterprise-Ready Healthcare Scenario Modeling Platform Enhancement

appsilon.com
Government
Healthcare
Consulting

Challenges in Scaling and Maintaining Complex Shiny Application

Existing Shiny application built with {golem} framework faced scalability issues with growing data complexity, inefficient user workflows for scenario modeling, and lack of enterprise-grade maintainability. Performance bottlenecks occurred with large datasets, and manual data persistence workflows reduced productivity. The application required modernization to meet enterprise standards while maintaining critical healthcare planning capabilities.

About the Client

Healthcare systems consulting firm specializing in policy analysis and clinical service planning for government agencies

Key Objectives for Application Modernization

  • Implement enterprise-grade code architecture using {rhino} framework
  • Enable robust scenario modeling with automated validation
  • Improve data handling performance for large healthcare datasets
  • Create persistent user session management
  • Establish automated testing and CI/CD pipelines

Core System Functionalities

  • Modular database view creation for jurisdiction-specific analysis
  • Interactive scenario modeling with impact visualization
  • Persistent storage of user-defined scenarios and views
  • Automated testing framework for calculation accuracy verification
  • Responsive UI/UX for complex data manipulation

Technology Stack Requirements

R/Shiny
{rhino} framework
DuckDB
Pins
Posit Connect
RStudio IDE

System Integration Needs

  • Government health agency databases
  • Posit Connect deployment platform
  • User authentication system

Non-Functional Requirements

  • Horizontal scalability for 10x dataset growth
  • Sub-second response times for common queries
  • Role-based access control
  • 99.9% uptime SLA
  • Modular codebase maintainability

Expected Business Impact of Application Modernization

Enables healthcare planners to analyze complex scenarios 3x faster with automated data persistence and improved visualizations. Enterprise architecture reduces maintenance costs by 40% while supporting nationwide scalability. Automated testing ensures 95%+ accuracy in policy impact projections, directly improving healthcare resource allocation decisions.

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