Adroitent’s Product Engineering services helped a healthcare wellness provider with an integrated platform focusing on predictive analytics to help prevent and manage chronic diseases in the early stages.
Key Business Outcomes
Accurate prediction of chronic diseases in early stages
Integrates with multiple healthcare providers and centers
Helps to quantify organizational health
About the Customer
eKincare is a startup in the Indian healthcare environment – wellness focusing on providing predictive analytics to prevent and manage chronic diseases in the early stages. They provide effective predictive analytics for users when they upload their diagnostic reports. The information would be further analyzed to predict the user’s risk of getting chronic disease or chances of getting any other complications in the near future. Also wellness programs are suggested to improve and maintain the users overall health.
Customer Challenge
The customer needed a comprehensive solution that not only allowed predictive health management but also integrated seamlessly with different service providers and diagnostic labs. The customer needed scalable and flexible solution with seamless integrations to multiple healthcare systems. Further, the solution was also needed to quantify organizational health and digitization to benefit employees, and healthcare professionals.
Solution Delivered
The customer partnered with Adroitent to build a state-of-the-art integrated healthcare wellness solution that allows users to enter their vital signs and diagnostic reports data and provides related analytics. The platform is integrated with various labs and diagnostic centers, enabling users to conveniently book tests and appointments. The patients get to view and understand the trends in their health patterns as the values are projected in a graphical way and can be easily understood by users. They could also avail the recommended wellness programs from the relevant service providers. The platform can be used by individuals or by organizations who can make it available to their employees for better health management.
Solution Highlights
- Architecture design and development: Adroitent’s team developed a scalable, efficient, and secure architecture to handle large volumes of health data while ensuring faster processing and effective analytics.
- Designed intuitive workflows: Enabled intuitive workflows within the system to ensure users with effective health monitoring and predictive analytics predictions.
- Mobile enabled: Delivered user-friendly mobile applications for both Android and iOS platforms, ensuring users can access healthcare services on the go.
- Design, architecture and development: Teams were involved in designing and development of the actual architecture for the healthcare portal.
- End-to-end testing: Conducted extensive testing to ensure optimal performance, security, and reliability of the solution across all workflows.
Technology stack leveraged
The technology stack used was Ruby on Rails, Python, React.js, JQuery, Android, iOS, Postgres, AWS, Elasticache, NGINX, and Heroku Cloud. The deployment architecture consisted of hosting on AWS private cloud, ISO 27001cettified information security standards, high availability with multi AZ-disaster recovery, and highly secure architecture with DMZ and VPC with intrusion prevention system.
Features Developed
- Plugin-based architecture: Developed a highly configurable healthcare platform using a plugin-based architecture, which ensures scalability and allows easy customization based on the organization’s requirements.
- Integrations with multiple service providers: The platform connects users to a wide range of labs, diagnostics centers, and other healthcare providers, giving them the flexibility to choose services that best meet the user needs.
- User-friendly interface: The solution’s user-friendly interface provides clear, color-coded test results, graphical history, and clickable timelines to the users.
- Integration with EMR systems: The solution ensures healthcare providers can quickly view, manage, and analyze patient data in real-time with its seamless integration with EMR systems.
Business Outcome
- Helps to implement targeted healthcare initiatives: The predictive data of an organization can be used to identify areas for improvement and implement targeted healthcare initiatives of its employees. The platform allows organizations to improve the health of their 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 their employees’ health status and identify patterns or trends for proactive management.
- Generates health projections for patients: The patients get to view and understand the trends in their health pattern as the values are projected in a graphical way and easily understood.
