Uncovering disparities in access to popular treatments: insights from linked EHR and SDOH data
Explore how linked electronic health record (EHR) and social drivers of health (SDOH) data are accelerating the identification of health disparities for Type 2 diabetes, Alzheimer’s disease, and heart disease treatments.Through research vignettes highlighting GLP-1s, lecanemab, and TAVR/SAVR procedures, experts from Truveta will demonstrate how complete, clean, and timely regulatory-grade EHR data is shedding light on inequities in therapy access and outcomes. The findings, which rely on linked, patient-level SDOH data, highlight noteworthy variability in treatment patterns based on race, ethnicity, income, familial support, urban/rural status, and more.What you will learn:Learn how clinical expert-led AI is unlocking data hidden within unstructured EHR and SDOH data to enable novel real-world researchDelve into recent studies highlighting trends in real-world use of popular treatmentsGain ideas for leveraging linked EHR and SDOH data to identify and address healthcare disparities
