New Strategies to Increase Diversity in your Clinical Trial Patient Recruitment Campaigns

In this webinar we will:

• Discuss patient recruitment challenges arising due to lack of diversity in trial participation.
• Explore past and new initiatives by government agencies, academic organizations and patient communities to increase diversity.
• Highlight new ways to increase diversity in your clinical trial patient recruitment campaigns covering solutions to ease language barriers, clinical trial staff diversity, site staff training & compliance, geo targeting of clinical trials ads and use of vendors focusing on diversity, equity & inclusion.
• Demonstrate how iConnect DEI toolkit helps in enhancing diversity with its multilingual-multi-country configuration capabilities, site selection based on language spoken by site staff, volunteer database and technology enabling outreach based on ethnicity.

Speakers

Dr. Sharib Khan, MD, MA, MPH

CEO & Co-founder, TrialX Inc. Sharib Khan is a Biomedical Informatics Entrepreneur, who combines his passion for the application of computers in healthcare, with his belief in startups as vehicles for change. As CEO & Co-founder of TrialX, he is responsible for developing and executing the product development vision. Sharib holds a Masters in Biomedical Informatics from Columbia University and an MD from the University of Medical Sciences, Delhi University. As a yoga enthusiast, he can be found teaching yoga classes or doing headstands, when not brainstorming clinical trials technologies.

Dr. Chintan Patel, PhD

CTO & Co-founder, TrialX Inc. Chintan Patel is a biomedical informatician and co-founder of Applied Informatics and TrialX. He has over decade long academic and industry experience in the areas of biomedical ontologies, health vocabularies, big data analytics and natural language processing. Previously, he worked at the IBM’s T.J. Watson Research Labs on information extraction project that became the infamous Jeopardy winning Artificial Intelligence software “Watson”. He received a Masters in Computer Science from University of Missouri and a Ph.D. in Biomedical Informatics from Columbia University.