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Development of a Custom Linguistic Quality Assurance Platform for Medical Translations
  1. case
  2. Development of a Custom Linguistic Quality Assurance Platform for Medical Translations

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Development of a Custom Linguistic Quality Assurance Platform for Medical Translations

pragmaticcoders.com
Medical
Information technology

Business Challenges in Medical Translation Quality Assurance

Medical translation errors posed significant health risks, necessitating a custom solution without market-ready components. Existing processes lacked real-time feedback mechanisms and risk mitigation strategies for linguistic inaccuracies in critical healthcare documentation.

About the Client

A Polish startup specializing in medical translation services, focusing on error-free linguistic quality assurance for healthcare-related content.

Key Project Goals

  • Create a custom linguistic QA platform with zero reliance on pre-built components
  • Implement continuous feedback loops with live user testing
  • Ensure 99.9% accuracy in medical translation quality assurance
  • Reduce translation delivery time by 40% or more

Core System Functionalities

  • Custom error detection algorithms for medical terminology
  • Real-time translator feedback interface
  • Multi-language support framework
  • Version control with daily release cycles
  • Collaborative annotation tools for translation teams

Technology Stack Requirements

Agile development framework
Cloud-native architecture
Natural Language Processing (NLP) engines
Containerized microservices

System Integration Needs

  • Translation memory APIs
  • Medical terminology databases
  • Collaboration platforms (Slack/MS Teams)
  • Cloud hosting services (AWS/GCP)

Non-Functional Requirements

  • 99.99% system uptime SLA
  • HIPAA-compliant data security
  • Support for 10,000+ concurrent users
  • Response time under 200ms for QA checks

Expected Business Impact

Global adoption by medical translation teams, 50% reduction in post-QA errors, and 30% decrease in overall translation costs. Enables real-time quality monitoring while maintaining strict medical data compliance standards.

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