Integra IT at The Health Equity in Clinical Trials Congress 2023


Integra IT will join the Health Equity in Clinical Trials Congress this week in Boston on February 22-23. The event will gather key opinion leaders, experts, and stakeholders around expanding diversity, equity, and inclusion programs through industry action and technology.

Integra IT’s CEO, Andres Rozo, will host the “Health Equity Clinical Innovation” conference on Wednesday at 2:30 pm  (US/Eastern) at the Hilton Boston Back Bay, where the Congress takes place. During the presentation, he will share some experiences on how Integra IT has contributed to raising equity in clinical trials performed in emerging countries and has developed tailor-made software solutions and services. 

Moreover, the Integra IT team will exhibit some of our major success study cases in vaccines, in which technology significantly impacted the participant experience and the overall study performance. 


Additionally, the participants can visit the Integra IT booth to chat with our Partnership Director, Daniel Garcia, and learn more about our technology solutions and services with a person-to-person model that enhances equity, diversity, and inclusion. 

About the Health Equity in Clinical Trials Congress

The Health Equity in Clinical Trials Congress invites to drive actional change for underrepresented communities through impactful cross-industry networks and scaling equity initiatives. With five keynote sessions on trust-building approaches, hear from 25+ diversity trailblazers. The Congress gathers +100 industry experts and has +8 networking dedicated hours.

This event is an initiative from Kisaco Research, which bring researched conference programmes and influential networks. Kisaco Research produces, designs and hosts B2B industry conferences, exhibitions and communities – focused on a specialized selection of topic areas.

Share This Post

More To Explore

What is Clinical Data Management

What is Clinical Data Management?

Clinical trials are essential to advancing medical science and providing patients with novel treatments. The optimization of clinical trial operations depends critically on effective data

error: Content is protected !!