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Session 7: Missing the Trees for the Forest
Session Chair(s)
Tamei Elliott, MS
Associate Director, Scientific Programs
DIA, United States
Stephanie Young Moss, PharmD, MS
Pharmacist, Owner
Integrative Pharmacy Outcomes and Consulting, United States
Missing the forest for the trees is a very popular term that encourages us to not be distracted by details, but to look at the bigger picture. Sometimes it's important to focus on an individual versus the problems of the group. In life sciences research and development, data could be interpreted as a forest and the individual story, patient, or participant, as the tree. The value in understanding how one’s individual story, or in this case, data, may influence the outcome of a treatment and how one reacts to such treatment, is important to evaluate in clinical trial design and recruitment. Many challenges exist in understanding data from defining it from a race and ethnicity perspective, its real-world application and use, and the importance of equitable data in relation to clinical trial development. This session will discuss and evaluate these perspectives and provide actionable solutions to how the field can move forward on these efforts.
Learning Objective : At the conclusion of this session, participants should be able to:
- Define industry’s current understanding of data from a race and ethnicity perspective
- Describe the use and real-world application of data in clinical trials
- Restate the importance of equitable data in relation to clinical trial research and development
Speaker(s)
Speaker
Rita Ko, MBA
Urban Institute, United States
Chief Data Officer & Director, Racial Equity Analytics Lab
Speaker
Kayt Leonard, MA
SAS, United States
Principal Product Marketing Manager
Speaker
Spencer James, MD, MPH
Genentech, United States
Principal Data Scientist
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