Enterprise-Ready Healthcare Scenario Modeling and Data Management Platform

The client currently manages an increasingly complex healthcare analytics application built with a legacy framework, facing challenges in scalability, maintainability, and user interaction. The application's growing data volume demands optimization for smooth operation, and its architecture needs modernization to support complex scenario modeling and multi-session workflows effectively.

A large healthcare policy organization aiming to support health planning and clinical decision-making through advanced data analysis and scenario simulation tools.

• Refactor and modernize the existing application architecture to improve code maintainability and scalability.
• Implement automated testing protocols to ensure calculation correctness and interface reliability.
• Develop a robust data visualization and interaction interface that supports creating, modifying, and managing numerous database views and scenarios.
• Establish persistent session storage to allow users to seamlessly continue analysis across multiple sessions.
• Optimize data retrieval processes to handle large datasets efficiently, reducing load times and enhancing user productivity.
• Enhance user experience through intuitive UI/UX improvements for scenario creation and data exploration.

• A framework to define and implement various scenarios impacting healthcare data, allowing flexible modifications and analyses.
• Automated testing procedures covering unit, module, and end-to-end workflows to ensure correctness and stability.
• A data management layer supporting creation and management of database views tailored to user needs, facilitating targeted data analysis.
• Persistent storage system to save user-created views and scenarios automatically, supporting seamless multi-session workflows.
• Integration of advanced database technologies (e.g., in-memory databases) to enable fast data retrieval from large datasets.
• An intuitive, user-centric interface designed for easy scenario creation, modification, and visualization of healthcare projections.

• Database systems supporting creation and management of views
• Automated testing platforms integrated into CI/CD pipelines
• Data storage services for persistent user data across sessions
• External APIs or data sources for continuous data updates

• Application should support scalability to handle datasets multiple times larger than current volumes without performance degradation
• System must ensure high reliability with automated testing covering major workflows
• Fast data retrieval speeds to improve user productivity, targeting minimal load times
• User data persistence and session management to support multiple consecutive analysis sessions
• Security measures to protect sensitive healthcare data and user information

The developed platform is expected to significantly improve the stability, scalability, and usability of healthcare data analysis tools. Anticipated outcomes include reduced system errors, faster data access, and enhanced user engagement, enabling healthcare planners to make informed decisions more efficiently. The solutions will facilitate handling larger datasets, supporting complex scenario analysis, and streamlining workflows, ultimately leading to better resource planning and improved healthcare service delivery.