Dr. Carla Rodriguez-Watson is the Director of Research at the Reagan-Udall Foundation for the FDA. The Foundation is an independent non-profit established by Congress to support FDA’s mission to modernize product development, accelerate innovation, and enhance product safety. Research programs cultivate and leverage public-private partnership and network studies to accelerate and improve real-world evidence generation for risk/benefit assessment of medical products.
Dr. Rodriguez-Watson, an infectious disease epidemiologist by training, has more than 23 years of experience with research using real-world data to examine health outcomes and comparative effectiveness, and in developing and evaluating public health surveillance systems. Her experience spans from Kaiser Permanente Research and the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS), where she focused on the use of health care transaction data (from claims and the EHR) in epidemiologic studies of HIV, viral hepatitis, liver and kidney disease; to the health departments of New York City, San Francisco, and Seattle & King County where she focused on developing and testing the accuracy of syndromic surveillance systems to identify outbreaks of specific disease.
Dr. Rodriguez-Watson earned her PhD in Epidemiology from the University of Washington School of Public Health; her MPH from Columbia University Mailman School of Public Health; and her BA from Rutgers University.
33. Three Worlds Come Together: How Healthcare Organizations, Public Health, and Research Intersected to Fight COVID-19
COVID-19 has made urgent the need for rapid evidence generation around disease understanding, testing, and treatment patterns in broad populations. In response, the Reagan-Udall Foundation for the FDA and Friends of Cancer Research developed the COVID-19 Evidence Accelerator to convene a real-world data healthcare ecosystem. This session will feature case examples from the Reagan Udall Foundation Evidence Accelerator and demonstrate the importance of a national data repository in driving real-world evidence generation to support multistakeholder collaboration.
Participants will learn:
- How healthcare organizations, public health, and research can effectively collaborate.
- How to design and execute an optimal process to incorporate a risk prediction model into operation.
- How an optimal data structure and user-friendly visualization design can greatly improve model development and utilization.