- Boston
- Healthcare
- 28 Weeks
- B2B
- AWS, Python, TensorFlow, PostgreSQL, Kubernetes
Project Brief
The project’s purpose was cloud application development for precision medicine that combined genetic data with clinical insights, resulting in better patient outcomes for a leading healthcare provider.
Client Background
The client is a prominent healthcare provider that specialises in precision medicine. They concentrate on combining genetic data with clinical information to provide personalised treatment recommendations. They required a robust cloud application to streamline data integration and analysis processes.
Key Challenges:
Solution:
1. Discovery and Planning
To better understand the client's needs, our team conducted thorough stakeholder interviews and process analyses. Detailed system requirements were established, and an execution plan with specified milestones and deliverables was developed.
2. Development
We utilized AWS for scalable cloud infrastructure, ensuring compliance with healthcare data regulations. Python and TensorFlow were employed for developing advanced machine learning algorithms. PostgreSQL was used for robust data management, while Kubernetes ensured efficient container orchestration.
3. Implementation
The application was deployed in stages, starting with a pilot to test its functionality and gather feedback. Training sessions were conducted for healthcare professionals to ensure smooth adoption. Continuous integration and deployment practices were followed to provide timely updates and enhancements.
Tools & Technology Used
Python
Programming language
React
Frontend
Tensorflow
Machine Learning Framework
AWS
Cloud Service
PostgreSQL
Database
Kubernetes
Containerization
Features:
Real-time Data Integration
The programme combines many genetic and clinical data sources in real time, offering a full picture of patient information and allowing for personalised treatment strategies.
High Security and Compliance
Robust security measures and adherence to healthcare legislation assure the protection and privacy of sensitive patient data while retaining trust and dependability.
Advanced Machine Learning Algorithms
Utilizing TensorFlow, the application employs advanced machine learning algorithms to analyze vast datasets, generating actionable insights for precision medicine.
Scalable Infrastructure
AWS delivers a scalable infrastructure that can handle rising data volumes while maintaining high availability and performance as the client's services grow.