About the Company
The customer is a US-based healthcare technology company specializes in
providing advanced solutions for the early detection and management of
neurodegenerative diseases. Their flagship product is an AI-driven platform to
Analyse brain geometry that enables the automatic calculation of brain volumes
to facilitate the early detection and monitoring of conditions such as Alzheimer’s
and Parkinson’s.
8
Years
Proven Track Record
100
%
Customer Satisfaction
100+
Projects Completed
75+
Happy Customers
10+
Open Source Publications
30,000
+
Hours delivered back to the business
100
+
SOX compliance in Settlement process automation
95
+
Success rate of bot case completion
6
+
For functional release of OBT, RTS and OGS
The Challenge
Although the client had strong expertise in segmentation, AI, and machine learning (ML), they faced significant challenges in building and maintaining a scalable, efficient, and user-friendly platform. They lacked the necessary front-end and back-end development skills to create a robust infrastructure capable of
handling large volumes of data and supporting real-time analytics, which are
crucial for their product’s effectiveness.
Key challenges:
Key challenges:
- Scalability: Struggled to build a scalable infrastructure to handle increasing data volumes.
- Performance Efficiency: Their existing system lacked optimization which led to slow response times and delayed analytics.
- User Interface: Needed expertise to create an intuitive, responsive interface for healthcare professionals.
- Data Security: Required robust security measures to protect sensitive patient data.
- Cost Optimization: Needed to reduce operational costs while maintaining performance and scalability.
Our Impactful Actions
Roxiler provided comprehensive IT services to address these challenges. We focused on creating a scalable, maintainable, secure, efficient, and user-friendly platform.
The key components of our solution included:
-
Scalability with AWS
We leveraged Amazon Web Services (AWS) and specifically implemented AWS Batch to achieve scalability for data processing. This allowed the platform to scale automatically based on workload demands. It ensured consistent performance even as data volumes increased.
-
Server-Side Ecosystem Engineering
Roxiler developed a robust backend to increase the capacity of handling the extensive requests and data processing tasks by utilizing Node.js. This ensured that the platform could manage large requests and data processing effectively.
-
Interactive User Interface Development
We built a dynamic, responsive, and intuitive user interface by leveraging React.JS technology. This made it easier for neurologists and other healthcare professionals to interact with the platform and view the MRI analysis with access to critical patient data.
-
Data Security Enhancement
- Implemented a comprehensive security strategy that includes firewalls and Virtual Private Servers (VPSs).
- Hardened the servers to prevent unauthorized access.
- Encrypted data within the database to protect sensitive information.
- Established secure storage solutions for data storage, ensuring all data is protected against breaches.
-
Cost Optimization
- Implemented AWS Batch to handle varying workloads efficiently.
- Utilized auto-scaling with low-size servers to manage fluctuating loads without over-provisioning.
- Purchased reserved instances based on consistent load patterns to reduce costs significantly.
Benefits Achieved by Customer
The implementation of the new platform resulted in significant benefits:
- Improved Scalability:The AWS-based system scaled effortlessly to accommodate growing data volumes and demand.
- 50% Reduction in Processing Time:The enhanced infrastructure halved the time required to process MRI data to provide quicker diagnostic reports.
- Enhanced Usability:The new user interface made it easier for healthcare professionals to navigate the platform and access essential data.
- Data Security:Strengthened data protection through firewalls, VPSs, server hardening, data encryption, and secure data storage.
- Cost Optimization:Reduced operational costs through AWS Batch, auto scaling, and reserved instances which allowed the client to allocate resources more efficiently and cost-effectively.
The implementation of the new platform resulted in significant benefits:
- Improved Scalability:The AWS-based system scaled effortlessly to accommodate growing data volumes and demand.
- 50% Reduction in Processing Time:The enhanced infrastructure halved the time required to process MRI data to provide quicker diagnostic reports.
- Enhanced Usability:The new user interface made it easier for healthcare professionals to navigate the platform and access essential data.
- Data Security:Strengthened data protection through firewalls, VPSs, server hardening, data encryption, and secure data storage.
- Cost Optimization:Reduced operational costs through AWS Batch, auto scaling, and reserved instances which allowed the client to allocate resources more efficiently and cost-effectively.
Technologies we used
React
Node.JS
Express.js
MongoDB
AWS EC2
Firewalls
AWS Batch
Docker
Data Encryption
Secure Storage Solutions
Amazon Web Services (AWS)
Virtual Private Servers (VPSs)
