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Secure Healthcare Document Management System Modernization
  1. case
  2. Secure Healthcare Document Management System Modernization

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Secure Healthcare Document Management System Modernization

knubisoft.com
Medical
Information technology

Legacy System Challenges and Security Compliance Issues

The existing document management system suffers from outdated Python 2.7 architecture, poor code structure, lack of documentation, inefficient SQL queries, and non-compliance with healthcare security standards. These issues create testing bottlenecks, performance limitations, and security vulnerabilities.

About the Client

A UK-based software development company specializing in healthcare IT solutions with clients across the healthcare domain.

Modernization and Performance Enhancement Goals

  • Modernize legacy Python 2.7 codebase to Python 3.5 with Django framework
  • Implement HIPAA-compliant security measures for healthcare data
  • Optimize database performance through query optimization
  • Transition to microservices architecture on Google App Engine
  • Enable automatic scalability and load balancing in cloud infrastructure

Core System Functionalities

  • Multi-role user authentication (healthcare professionals/patients/admins)
  • End-to-end document encryption during storage and transmission
  • Role-based access control (RBAC) for document sharing
  • Audit trail logging for compliance tracking
  • Cloud-native document storage with Amazon S3 integration

Technology Stack Requirements

Python 3.5
Django
Google App Engine
MySQL
Amazon S3

System Integration Needs

  • Amazon S3 storage
  • Existing healthcare IT systems
  • Security compliance frameworks (HIPAA)

Operational Requirements

  • Horizontal scalability with automatic load balancing
  • 99.99% system availability SLA
  • Sub-second response times under peak load
  • Healthcare data integrity and audit compliance
  • Disaster recovery with 15-minute RTO

Business Transformation Outcomes

The modernized system will reduce infrastructure costs by 40% through cloud optimization, decrease deployment errors by 75% via automated testing, and achieve full healthcare compliance. Enhanced performance will support 2x user growth while maintaining sub-second response times, improving both clinician efficiency and patient data accessibility.

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