Data form the cornerstone of efforts to address health disparities and advance health equity across the globe. In the United States, Medicare and Medicaid collect and publicly disclose race, ethnicity, and socio-economic characteristics to address health disparities and identify underserved communities. In Europe, healthcare systems and policies vary significantly across countries. While some European countries collect similar data as in the U.S., other countries collect and share no or only limited data due to concerns about discrimination, individual privacy, or historical sensitivities. Despite the limitations, there is still a broad range of high-quality data which can be consolidated, standardized, and visualized to support streamlined diversity and site identification strategies. We’ll take a deep dive into the hurdles and complexities of diversity data collection and the efforts needed for standardization of data, explore the potential barriers and factors that explain the gaps in current data strategies, and discuss data-driven approaches for more diverse clinical research.

CEU: 1.00 ACRP

Speaker:

• Elke Ydens, Associate Director of Business Solutions, Anju Software

Watch a Sneak Peek into the Session Content: