Uncovering disparities in access to popular treatments: insights from linked EHR and SDOH data

Description

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 research

• Delve into recent studies highlighting trends in real-world use of popular treatments

• Gain ideas for leveraging linked EHR and SDOH data to identify and address healthcare disparities