Thursday, January 19, 2023
4:00pm ET - 5:00pm ET
Location: Zoom
Webinar Description
Big data can provide population-level indicators for autism research focused on physical health. Claims data are a useful big data tool that emerge from health systems and provide translational research opportunities to improve health outcomes across large groups and communities. Claims data are generated at local, state, and federal levels, and from multiple insurance sources. In this webinar, we will describe existing approaches to the use of claims data for autism research focused on physical health and present and discuss opportunities for future research
Presenters
Lindsay Shea
Lindsay Shea directs the Policy and Analytics Center at the A.J. Drexel Autism Institute at Drexel University and co-leads the Health Services and Systems node of the AIR-P Network with Dr. Paul Shattuck. Dr. Shea leads research projects focused on improving the system of care for autistic individuals across the lifespan and utilizing population-level data sources.
Lauren Bishop
Lauren Bishop, PhD, MSW, is an associate professor at the Sandra Rosenbaum School of Social Work and principal investigator at the Waisman Center and the Institute for Research on Poverty at the University of Wisconsin-Madison. Her National Institutes of Health-funded research focuses on empowering autistic adults to live long, healthy, and self-determined lives in their communities. She is currently studying disparities in health and wellbeing, as well as mechanisms underlying both healthy aging and early and accelerated aging, in autistic adults as they age. Her social work practice experience includes roles as a school counselor and a social skills group leader for children, adolescents, and adults on the spectrum.
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