Se rendre au contenu

 Case Study

Medical Sample Testing Internal Software Suite


Modernized a legacy clinical calculation platform by creating a web-based system for laboratory math models into a single, easy-to-use interface. The solution provides secure access to complex calibration and prediction workflows through modern APIs, cloud deployment, and a streamlined user experience.



Industry

Medical Lab


Engagement

3 Years

 Case Study

Medical Blood Testing Internal Software Suite


Modernized a legacy clinical calculation platform by creating a web-based system for laboratory math models into a single, easy-to-use interface. The solution provides secure access to complex calibration and prediction workflows through modern APIs, cloud deployment, and a streamlined user experience.


Industry

Medical Lab


Engagement

3 Years

Products we built :


We developed a modern clinical calculation platform that consolidates multiple laboratory testing and assay workflows into a single web application. The system integrates decades of proven scientific algorithms with modern APIs, authentication, and cloud infrastructure to improve accessibility and reliability. By replacing fragmented legacy tools with a centralized interface, users can perform complex calculations, validations, and predictive workflows more efficiently. The result is a scalable platform that preserves trusted mathematical models while delivering a significantly improved user experience for laboratory teams.

Products we built :


We developed a modern clinical calculation platform that consolidates multiple laboratory testing and assay workflows into a single web application. The system integrates decades of proven scientific algorithms with modern APIs, authentication, and cloud infrastructure to improve accessibility and reliability. By replacing fragmented legacy tools with a centralized interface, users can perform complex calculations, validations, and predictive workflows more efficiently. The result is a scalable platform that preserves trusted mathematical models while delivering a significantly improved user experience for laboratory teams.

2

 Challenge


Unifying multiple assay/model families across different implementations (native C++ and Java), preserving legacy math behavior, supporting consistent payload formats,

exposing reliable APIs, and enabling cloud/ serverless deployment while keeping local developer workflows

practical.

 

3

 Outcome

 

We delivered a unified platform that brings multiple laboratory calculation workflows into a single secure web application with modern cloud deployment capabilities. Teams can validate and execute complex assay calculations in one place while preserving trusted legacy mathematical models and improving day-to-day efficiency.

1

Background


The project began with an analysis of legacy clinical calculation software and mathematical models that had been in use for decades. Modern APIs, cloud services, and a web-based interface were developed around the proven calculation engines, creating a more accessible, scalable, and user-friendly platform while preserving trusted scientific workflows.


2

 Challenge


Unifying multiple assay/model families across different implementations (native C++ and Java), preserving legacy math behavior, supporting consistent payload formats,

exposing reliable APIs, and enabling cloud/ serverless deployment while keeping local developer workflows

practical.

 

3

 Outcome

 

We delivered a unified platform that brings multiple laboratory calculation workflows into a single secure web application with modern cloud deployment capabilities. Teams can validate and execute complex assay calculations in one place while preserving trusted legacy mathematical models and improving day-to-day efficiency.

1

Background


The project began with an analysis of legacy clinical calculation software and mathematical models that had been in use for decades. Modern APIs, cloud services, and a web-based interface were developed around the proven calculation engines, creating a more accessible, scalable, and user-friendly platform while preserving trusted scientific workflows.