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