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Healthcare Analytics Application Modernization and Scalability Enhancement
  1. case
  2. Healthcare Analytics Application Modernization and Scalability Enhancement

Healthcare Analytics Application Modernization and Scalability Enhancement

itransition.com
Medical
Information technology

Identified Challenges in Healthcare Analytics Product Stability and Customizability

The client’s healthcare analytics product suite was experiencing degradation in quality and stability in comparison to competitors, necessitating modernization. The existing solutions lacked a unified UI style, flexibility, and scalability, affecting user experience and development efficiency. Additionally, manual and legacy testing processes slowed release cycles and limited rapid deployment capabilities. The client seeks to improve product stability, user interface consistency, and automation in testing to maintain industry leadership and meet evolving market demands.

About the Client

A global medical device and analytical solutions provider specializing in laboratory software, laboratory workflow optimization, and scientific applications serving research, pharmaceutical, and healthcare laboratories worldwide.

Strategic Goals for Healthcare Analytics Solution Enhancement

  • Modernize existing healthcare analytics applications to align with current technology standards.
  • Develop a unified, flexible, and user-friendly UI component library for consistent user experience across all products.
  • Redesign and restyle administrative and management dashboards without altering core functionality.
  • Implement a scalable platform for lab information management, including desktop and web-based applications.
  • Create a web-based app store for easy deployment and management of multiple analytical tools.
  • Automate testing processes to reduce regression testing time, increase test coverage, and ensure high product quality.
  • Improve release frequency and product reliability to better support scientific research and laboratory workflows.

Core Functional Requirements for the Healthcare Analytics Platform

  • Development of a flexible UI element library with components such as Buttons, Cards, Dialogs, Dropdowns, Lists, Navigation bars, Sliders, Tables, and more, with variation support and code examples.
  • Refactoring and redesign of legacy admin panels to enhance visual appeal, usability, and functionality, without affecting existing workflows.
  • Implementation of a lab information editor for data analysis and management tailored to scientists' specific analytical tasks.
  • Redesign of sample import and processing modules to support complex data workflows, visualization, and reporting with an emphasis on usability and performance.
  • Creation of a web-based app store platform for hosting and managing multiple scientific applications with admin audit capabilities.
  • Deployment of comprehensive automated testing frameworks covering integration, regression, load, and performance testing, leveraging containerization technologies.
  • Establishment of continuous integration/continuous deployment (CI/CD) pipelines to facilitate rapid release cycles and high quality assurance.

Preferred Technologies and Architectural Approaches

.NET framework for backend development
Front-end technologies aligned with modern standards (e.g., React or similar frameworks)
Component-based UI development for flexible styling
Docker containers to facilitate CI/CD and automated testing
Agile collaboration and process automation tools
Cloud deployment options for scalability and accessibility

External System Integration Needs

  • Existing laboratory information management systems (LIMS)
  • Analytical instrument data sources
  • Reporting and compliance systems
  • User authentication and authorization services
  • Third-party testing and automation tools

Key Non-Functional Requirements for System Performance and Security

  • System should support scalability to handle increasing data volumes and user base
  • Application must ensure high stability with at least 95% test pass rate in automation pipelines
  • Performance benchmarks: test runs should be at least twice as fast as legacy systems
  • Security standards must comply with industry regulations, including secure user access and data protection
  • Availability should support 24/7 operations with fault tolerance mechanisms

Anticipated Business Benefits and Performance Improvements

The project aims to significantly enhance product stability, user experience, and deployment agility, leading to increased market share and customer satisfaction. By automating testing and streamlining development cycles, the client expects to double the speed of releases, achieve over 95% test pass rates, and improve overall product quality, thereby solidifying their leadership position in the healthcare analytics solutions market.

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