Abstract: Clinical data warehouses store longitudinal patient information, largely extracted from the electronic health record (EHR), for comparative effectiveness research. Data within the EHR is necessarily incomplete. These data may be enhanced by incorporating external sources. We describe the addition of socioeconomic status variables derived from the American Community Survey (ACS) to a clinical data warehouse, and demonstrate their utility in a query stratifying emergency department use with estimated median income.
Learning Objective 1: Describe a model for incorporating data from the American Community Survey with EHR data in a clinical data warehouse. Recognize how these data can be queried using i2b2.
Bret Gardner, University of Nebraska Medical Center
Jay Pedersen, University of Nebraska Medical Center
James Campbell, University of Nebraska Medical Center
Mary Campbell, Texas A & M University
Walter Campbell, University of Nebraska Medical Center
James McClay (Presenter)
University of Nebraska Medical Center