Development of Data Science Based Foresight for Medical Operations
AI & MLData ScienceHealthcare
2018 - 2019
The US
D3.js|JavaScript|React|Redux|Three.js
Data Services|Front-End Development|UI/UX Design
The Client
Apri Health, a healthcare provider, was looking for a reliable platform to leverage patient data for improved decision-making and service delivery. Their goal was to minimize errors, optimize diagnostics, and ultimately provide the best possible care.
The Challenge
Apri Health possessed a functional platform for hospital staff to analyze patient data and calculate disease probabilities. However, the existing system lacked a user-friendly interface and relied on outdated technologies. This presented challenges for user adoption and efficient data visualization. The task was to rebuild the front-end entirely, prioritizing clarity and a focus on evidence-based clinical decisions.
What Was Done
To transform Apri Health’s platform into a modern and user-centric tool, Ralabs implemented a comprehensive front-end overhaul built on a powerful technology stack:
- The core application logic was rewritten using React, enabling the creation of dynamic and interactive UI components for a smooth user experience.
- Redux was integrated as the state management solution, ensuring efficient data flow and consistency throughout the application.
- Single-page application (SPA) functionality was implemented using React Router, allowing for smooth navigation between different sections of the platform without full page reloads.
- Data visualization capabilities were significantly increased by incorporating D3.js for creating various chart types and three.js for potentially including 3D graphics (if applicable based on future needs).
- ESLint, Prettier, and other linting tools were implemented to enforce code style best practices and promote long-term code maintainability.
Implemented Patient Features:
The core application logic was rewritten using React, Redux, React Router, D3.js, and Three.js, ensuring a modern and performant front-end.
ESLint, Prettier, and other linting tools were implemented to enforce code style and maintainability best practices.
React Router was utilized to create components for each sub-page within the application.
Leveraging D3.js, various charts were integrated into relevant subpages to provide clear and interactive data representations.
Tools for specific data analysis, such as transfusion data, were integrated.
Unit tests were written to ensure the functionality of individual components.
Additional features
- A basic front-end authentication system was implemented utilizing OAuth, to secure user access.
- A well-structured header and left sidebar with navigation buttons were created to facilitate seamless user flow within the SPA.
- A new, intuitive user interface was created using JSX for component-based development and clear visual styling.
- A dedicated section with three sub-features was implemented for in-depth predictive analysis.
- A tool for ranking various factors was implemented.
- Functionality to analyze diagnoses and procedures was incorporated.
Results
The modern, intuitive UI streamlines user interaction and data exploration
The well-structured navigation and sub-page components optimize workflow for healthcare professionals
D3.js charts provide clear and interactive insights into complex data sets
Powerful features like predictive analytics, diagnosis/procedure analysis, and ranking tools empower data-driven healthcare decisions
Tech Stack
Daniel
Head of Engineering at Ralabs
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