AI Health Data Studio: Session 6: Social Determinants of Health (SDOH) Data Sources



AI Health

event sponsored by

AI Health &

+DataScience (+DS), Biostatistics and Bioinformatics, Computer Science, Duke Clinical and Translational Science Institute (CTSI), Electrical and Computer Engineering (ECE), Office of Information Technology (OIT), and Pratt School of Engineering


Armando Bedoya, MD, MMCi; Associate Chief Medical Informatics Officer, Duke Health with host Ursula Rogers; Senior Informaticist, Duke AI Health

As defined by the US Department of Health and Human Services, "Social determinants of health (SDOH) are the conditions in the environments where people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning, and quality-of-life outcomes and risks." This one-hour virtual seminar will introduce researchers to the types of SDOH data available at Duke and discuss use and context of these data. This session is part of the AI Health Data Studio series in spring 2022, hosted by Ursula Rogers, Ricardo Henao, and Shelley Rusincovitch. Starting with the February 10 overview, the follow-on weekly seminars will go into deeper detail on each of the data resources, and introduce participants to the many experts and resources available at Duke. The data studios are designed for investigators who are considering working with medical data at Duke, especially applications of machine learning and artificial intelligence, but may not be sure where to begin. We especially encourage Duke early-stage investigators and campus-based researchers to attend. Register here: