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Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model.

Authors :
Phuong J
Zampino E
Dobbins N
Espinoza J
Meeker D
Spratt H
Madlock-Brown C
Weiskopf NG
Wilcox A
Source :
AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2022 Feb 21; Vol. 2021, pp. 989-998. Date of Electronic Publication: 2022 Feb 21 (Print Publication: 2021).
Publication Year :
2022

Abstract

Deficiencies in data sharing capabilities limit Social Determinants of Health (SDoH) analysis as part of COVID-19 research. The National COVID Cohort Collaborative (N3C) is an example of an Electronic Health Record (EHR) database of patients tested for COVID-19 that could benefit from a SDoH elements framework that captures various screening instruments in EHR data warehouse systems. This paper uses the University of Washington Enterprise Data Warehouse (a data contributor to N3C) to demonstrate how SDoH can be represented and managed to be made available within an OMOP common data model. We found that these data varied by type of social determinants data and where it was collected, in the time period that it was collected, and in how it was represented.<br /> (©2021 AMIA - All rights reserved.)

Details

Language :
English
ISSN :
1942-597X
Volume :
2021
Database :
MEDLINE
Journal :
AMIA ... Annual Symposium proceedings. AMIA Symposium
Publication Type :
Academic Journal
Accession number :
35308947