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Hospital Data Analysis With Machine Learning

Category

Legacy Transformation

Project size

40 MMs

Industry

Healthcare

Scope of work

Frontend Development

Quality Assurance

Technologies
  • Front-End: React, NextJS
  • Back-End: Python

About the project

 The client is a Singapore-based healthcare technology startup, founded in 2016, specializing in leveraging Generative AI and machine learning to provide intelligent solutions for insurers and insurance platforms. The client approached BHSoft for the modernization of their legacy systems to create a web portal app that analyzes and manages hospital data using machine learning and AI.


The goal was to develop a scalable and secure web portal capable of processing and analyzing large volumes of hospital data to improve decision-making, streamline hospital operations, and optimize resource management. The new platform was intended to provide actionable insights, data-driven recommendations, and enhance the efficiency of healthcare services while improving patient outcomes and hospital operations.

The client required BHSOFT to handle the UI development and API integration for the hospital data management web portal. The solution needed to:


  • Process large data sets related to hospital operations.
  • Leverage AI and machine learning to generate insights for decision-making and resource management.
  • Integrate seamlessly with existing hospital systems.
  • Be intuitive, scalable, and secure, with the ability to evolve as hospital needs change.
  • Initially, the web portal was developed using React. However, as the project evolved, the client requested a transition to Next.js to better meet their long-term scalability and performance needs.

The main challenge in this legacy modernization project was the transition from React to Next.js. The client’s evolving needs necessitated a shift in the front-end framework, which required:


  • Reworking the Codebase: The migration from React to Next.js required significant adjustments to the front-end code, particularly around server-side rendering (SSR) and static page generation.
  • Testing and Performance Optimization: The switch required additional testing and optimization to ensure that the app remained high-performing, responsive, and capable of handling complex hospital data queries.
  • Compatibility: Ensuring that the new framework integrated seamlessly with the back-end services and data-processing workflows.

To address these challenges, BHSOFT’s development team:


  • Analyzed and Refined the Codebase: We thoroughly analyzed the existing React codebase and refactored it to work with Next.js. This shift allowed us to leverage server-side rendering (SSR), improving the application’s load times and overall performance.
  • API and UI Component Integration: The team ensured that all UI components and APIs were adapted to Next.js, maintaining consistency across the platform. We worked closely with the client to validate the changes and ensure the system met their evolving requirements.
  • Thorough Testing: We conducted extensive testing throughout the migration process, including performance testing, security checks, and integration tests, ensuring the transition did not impact the system's functionality or data integrity.
  • The transition from React to Next.js was successfully completed, providing the client with a scalable, high-performance solution that met their requirements for hospital data analysis and management.


The project was successfully completed with the seamless transition from React to Next.js, meeting the client's evolving requirements. Our developers efficiently integrated the UI and APIs, ensuring that authorized users could manage simulation experiments and test data via the Manager Web UI. Through effective collaboration and testing, we delivered a high-performance solution that enhanced hospital data management while staying on track with project timelines.

Features of the app:

  • Manages the authentication process for clinic users.
  • Allows clinic staff to efficiently manage all submitted claims in one centralized location.
  • Displays a list of insurance claims that the logged-in doctor needs to review and process.
  • Provides tools for managing contracts between the clinic and insurance companies.
  • Enables users managing multiple clinics to seamlessly switch between different clinic profiles within the application.
  • Allows clinic users to initiate and submit claims on behalf of policyholders.
  • Keeps clinic users informed about important updates and required actions.