Customer Story · Software Engineering
Predicting health: Ruby on Rails at wellness scale
How Adroitent built a highly configurable predictive health analytics platform for a wellness provider — plugin-based Ruby on Rails, integrations with labs and diagnostic centers, and AI-driven health projections.
The inflection pointHealth data that needed to predict, not just store
The customer is a healthcare wellness provider offering predictive analytics to prevent and manage chronic diseases in the early stages — analyzing users' uploaded diagnostic reports to predict risk of chronic disease and suggesting wellness programs.
- Needed a comprehensive solution enabling predictive health management
- Required seamless integration with different service providers and diagnostic labs
- Demanded a scalable and flexible solution across multiple healthcare systems
- Health data required strict security and compliance handling
Turn diagnostic reports into early, actionable prediction.
The interventionA configurable, plugin-based platform
Adroitent developed a highly configurable healthcare platform on Ruby on Rails, architected for scalability, easy customization and deep integration across the healthcare ecosystem.
Plugin-based architecture
- A highly configurable platform built on a plugin-based architecture
- Ensures scalability and allows easy customization per organization's requirements
Multi-provider integrations
- Connects users to a wide range of labs, diagnostics centers and healthcare providers
- Flexibility for users to choose the services that best meet their needs
User-friendly interface
- Clear, color-coded test results with graphical history
- Clickable timelines so users can track health trends over time
Secure cloud architecture
- Hosted on AWS private cloud with ISO 27001 information security standards
- High availability with multi-AZ disaster recovery; DMZ, VPC and intrusion prevention
The game changer
AI-driven predictive health projections
- Advanced AI algorithms analyze health data with digitization
- Organizations can measure employee health status and identify patterns or trends
- Patients view their health trends projected graphically and clearly
- Predictive data identifies areas for targeted healthcare initiatives
By the numbers
Targeted healthcare initiatives
Proactive health management
Holistic organizational view
Clear health projections
By the numbers
Targeted healthcare initiatives
Proactive health management
Holistic organizational view
Clear health projections
The payoffProactive, preventive, personal
- Helps implement targeted healthcare initiatives
- An organization's predictive data can be used to identify areas for improvement and implement targeted healthcare initiatives for employees, offering a holistic view of organizational well-being.
- Enables proactive management
- The platform uses advanced AI algorithms with digitization to analyze health data, enabling organizations to measure employee health status and identify patterns or trends for proactive management.
- Generates health projections for patients
- Patients can view and understand trends in their health patterns, with values projected graphically and easily understood.
- Scalable and secure by design
- A plugin-based architecture on AWS private cloud with ISO 27001 standards, multi-AZ disaster recovery and intrusion prevention ensured scale without compromising security.
The stack behind itTools & technology
This engagement was delivered as part of Adroitent's Software Engineering Services practice.
Good to knowFrequently asked questions
What is Ruby on Rails best suited for?
What is a plugin-based architecture?
What is predictive analytics in healthcare?
How is health data secured in cloud applications?
Why integrate a health platform with labs and diagnostic centers?
Build platforms that predict, not just report.
Scalable product engineering for data-driven healthcare.