Webinar
Uncovering disparities in access to popular treatments
Insights from linked EHR and SDOH data
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 social drivers of health (SDOH) data, highlight noteworthy variability in treatment patterns based on race, ethnicity, income, familial support, urban/rural status, and more.
Explore how linked EHR and SDOH data are accelerating the identification of health disparities for type 2 diabetes, Alzheimer’s disease, and heart disease treatments.
Download the briefing for insight into:
- How Truveta extracts data from clinical notes at scale
- Key use cases for leveraging clinical notes in research
- How researchers can uncover deeper insights into patient outcomes, product safety, health disparities, and more
