Navigating Technological Evolution: Healthcare IT and Clinical Research Platform Enhancement

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Navigating Technological Evolution: Healthcare IT and Clinical Research Platform Enhancement

Veritas Automata Brian Tafur

Brian Tafur

Veritas Automata Duvan Hurtado

Duvan Hurtado

Client Overview

A provider of biopharmaceutical development, consulting and commercial outsourcing services, focused primarily on Phase I-IV clinical trials and associated laboratory and analytical services, including strategy and management consulting services

Client Challenge:

The healthcare IT company’s comprehensive and accurate benchmarking tool allows sponsors and contract research organizations to confidently forecast and budget investigator grant costs electronically. It uniquely combines all industry data sources, delivering Fair Market Value itemized costs that facilitate global forecasting and budgeting across various study phases and therapeutic areas. The client’s application was initially built in JavaScript HTML and .NET, and they were eager to enhance the application’s loading speed and overall efficiency. This project had several objectives:

Solution:

The collaboration journey is far from over. The plan for the future includes continuing the migration until 100% of the front end is on Angular. Veritas Automata remains committed to optimizing application performance, demonstrating an enduring dedication to the client’s success.

Technologies Used
Client testimonials:
“Our products are technically undergoing constant enhancements, constant technical improvements in order to serve our clients so it’s critical for us to have a group like Veritas Automata partner with us to service our needs.“

“With a trusted partnership spanning nearly 13 years, the strong relationship, built on expertise and reliability, continues to be the fundament of this collaboration.“

More Insights

Veritas Automata Intelligent Data Practice

Thought Leadership
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01. Traditional Machine Learning – Learning from Data

Thought Leadership
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02: Generative AI – Creating the New from the Known

Thought Leadership
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03: Key Differences Between Traditional Machine Learning (ML) and Generative AI (GenAI) and How to Choose

Thought Leadership
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