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Despite increasingly stringent requirements from regulatory agencies, clinical trials often fail to recruit study populations representative of real-world demographics and disease prevalence and are often skewed away from racial/ethnic minorities. Consequently, data produced by such trials can result in treatment guidelines and outcome expectations that do not apply to racial/ethnic minorities, further widening health disparities. In this study, we describe a new tool, the TriNetX Diversity Lens ("Diversity Lens"), which augments the existing electronic health record querying functionality of TriNetX and allows clinical trial sponsors to rapidly evaluate the potential impact of inclusion and exclusion criteria on the eligibility rates of different racial and ethnic groups. We describe the development of Diversity Lens in collaboration with public and private stakeholders. Additionally, we feature examples of how Diversity Lens can bring to the surface insights into existing health disparities and prospectively explore the impact of study criteria on the eligibility of racial/ethnic minorities.