VARTEQ

HEALTHCARE CASE STUDY

GeneDx genetic testing platform case study

VARTEQ engineers helped develop and upgrade software for GeneDx's genetic testing workflows, including test ordering, billing, insurance and results reporting. Our work also covered Python-based components of an AI module for genetic data analysis.

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At a glance

Client
GeneDx
Industry
Healthcare
Work began
2018
Services
Custom Software Development, Application Modernization

OVERVIEW

Project overview

GeneDx is a US genetic testing laboratory whose diagnostic services include molecular genetic testing and clinical sequencing. Its software supports the practical steps behind a genetic test, including requests from medical practices, insurance and billing workflows, genetic counseling and results reporting.

VARTEQ engineers began contributing to the platform in 2018. Our work included application features, upgrades and backend services for these workflows, plus Python-based work on an AI module that analyzes inherited-disease data.

WHERE THEY STARTED

The challenge

Genetic test workflows connect medical practices, laboratories, billing, insurers and genetic counselors. The software needs to carry test and patient information through these steps, support different user roles and protect sensitive data. The team also needed backend capabilities for genetic data analysis.

WHAT WE BUILT

The solution

  1. Test ordering and lab workflows

    Developing and improving application features that support genetic test requests and the operational steps around them.

  2. Billing and insurance

    Software workflows for billing and insurance coverage within the genetic testing platform.

  3. Counseling and results

    Features for genetic counseling and results reporting that help medical practices follow a test through its workflow.

  4. Python and AI analysis

    Python-based work on an AI module for genetic data analysis, alongside the backend services that connect analytical capabilities with the platform. The module works with inherited-disease data; the case does not claim automated clinical diagnosis.

SERVICES ON THIS PROJECT

TECHNOLOGIES USED

  • Java
  • Spring Boot
  • Hibernate
  • AWS
  • React
  • Python
  • TensorFlow
  • Apache Spark
  • Cypress
  • Selenium

WHAT CHANGED

The outcome

  • Development and upgrades supported connected genetic testing workflows, including test ordering, billing, insurance, counseling and reporting.
  • Platform features supported the operational needs of medical practices.
  • VARTEQ contributed Python-based AI analysis work and its backend integration with the genetic testing platform.
  • Software work was carried out against client-defined security and HIPAA requirements, without a claim of certification for the platform.

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