MedDocs
Creating a secure online document storage solution that empowers healthcare professionals, patients, and stakeholders to create, manage, and share private documents seamlessly. This project exemplifies digital transformation within the HealthTech sector, focusing on robust data management and compliance.
• Back-End Development
• Quality Assurance
• Python & Django (migrated from Python 2.7 to 3.5)
• Google App Engine (microservices architecture)
• MySQL & Amazon S3 for secure storage
• Automated load, functional, and regression testing
- Java Tech/Team Lead
- 2 Java Developers
- NodeJS Developer
- DevOps
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About the Client
Our UK-based client is a leading software services provider specializing in healthcare solutions, delivering critical tools for secure patient data management and ensuring strict compliance with industry standards.
Challenge
• A 4-year-old Python 2.7 codebase lacked structure, documentation, and critical security compliance for sensitive healthcare data.
• Poorly optimized SQL queries and monolithic deployment caused severe performance bottlenecks, impacting user experience and system reliability.
• Testing every change was labor-intensive, delaying feature delivery and risking critical errors.
Solution
Comprehensive Documentation
Conducted a full audit of database schemas and source code, meticulously documenting functional and non-functional requirements to guide refactoring. This laid the foundation for a robust software architecture.
Automated Software Testing
Implemented a suite of automated load, functional, and regression tests. This QA strategy allowed us to catch critical issues early in the iterative development cycle, significantly reducing manual QA effort and accelerating time-to-market.
Google App Engine Migration
Re-architected the application into microservices on App Engine. This change isolated components, enabled independent scaling, and drastically improved overall security and resource optimization.
Load Balancing & Scalability
Configured automatic scaling and load balancing to optimize resource usage, ensuring reliable performance under variable workloads.
Business
Value
Rewrote the legacy code in Python 3.5 with Django significantly enhanced security, introduced site content caching, and ensured full alignment with stringent healthcare compliance standards. This complete digital transformation provided a future-proof platform.
Optimized database queries and migration of document storage to Amazon S3 strongly improved response times and ensured durable, secure file retention. The implementation resulted in better performance optimization and strengthened system reliability, which is vital for managing patient data.
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