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DevOps Optimization and Automated QA Implementation for Genetic Diagnostics Platform
  1. case
  2. DevOps Optimization and Automated QA Implementation for Genetic Diagnostics Platform

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DevOps Optimization and Automated QA Implementation for Genetic Diagnostics Platform

trigent.com
Medical
Information technology
Health & Fitness

Business Growth Challenges in Genetic Diagnostics

Rapid business expansion led to increased defect leakage, compromised customer experience during system updates, and integration challenges with newly acquired services. Existing QA processes couldn't keep pace with frequent requirement changes and the need for 24/7 lab operations support.

About the Client

Leading provider of genetic diagnostic services specializing in hereditary disorder testing, offering diagnostics, reproductive health, and proactive health screenings through advanced genetic analysis

Strategic Transformation Goals

  • Implement enterprise-grade DevOps pipeline for continuous delivery
  • Reduce production defect leakage below 5%
  • Achieve 45%+ improvement in development throughput
  • Enable seamless integration of acquired company services
  • Establish 18-hour QA coverage across global teams
  • Implement automated regression testing framework

Core System Requirements

  • Web portal for test order management with real-time tracking
  • Laboratory Information Management System (LIMS) integration
  • Clinical reporting automation with multi-user collaboration
  • Dry Lab Operations System automation for sample processing
  • Multi-environment compatibility testing (OS/browser)
  • Mobile-responsive interface with omnichannel support

Technology Stack Requirements

AWS cloud infrastructure
SauceLabs device farms
CI/CD pipeline tools (Jenkins/GitLab CI)
Test automation frameworks (Selenium, Cypress)
Docker/Kubernetes for containerization

System Integration Needs

  • Electronic Health Record (EHR) systems
  • Lab equipment APIs
  • Payment gateways
  • Identity management systems
  • Analytics platforms

Operational Requirements

  • 99.9% uptime SLA
  • HIPAA-compliant data handling
  • Scalable architecture for 10x patient volume growth
  • Sub-second response times for critical workflows
  • Automated environment provisioning

Expected Business Outcomes

Implementation will enable 24/7 lab operations support, reduce manual testing efforts by 60%, and ensure high-quality releases through continuous testing. The solution will maintain clinical workflow integrity during rapid expansion while improving patient engagement through reliable service delivery.

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