Comparing the predictive contribution of patient-reported social determinants captured in EHRs against Census-linked socioeconomic measures for glycemic control in a UNC Health type 2 diabetes cohort.
Developing structured and unstructured data density metrics in electronic health records to assess bias in cohort construction, with special attention to patients with limited English proficiency.
Electronic health records contain longitudinal patient address histories, a largely untapped, population-scale data source for studying residential mobility and spatial health inequity.
Using large-scale EHR data and target trial emulation to estimate the causal effects of well-water arsenic exposure on chronic disease outcomes, including bladder cancer and diabetes.
N3C aims to improve the efficiency and accessibility of analyses with COVID-19 clinical data, expand our ability to analyze and understand COVID, and demonstrate a novel approach for collaborative pandemic data sharing
The RECOVER Initiative is a patient-centered, integrated, adaptive research network
