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

Jimmy Phuong; Elizabeth Zampino; Nicholas Dobbins; Juan Espinoza; Daniella Meeker; Heidi Spratt; Charisse Madlock-Brown; Nicole G. Weiskopf; Adam Wilcox

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

Jimmy Phuong, Elizabeth Zampino, Nicholas Dobbins, Juan Espinoza, Daniella Meeker, Heidi Spratt, Charisse Madlock-Brown, Nicole G. Weiskopf, Adam Wilcox

Medical Informatics and Clinical Epidemiology

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

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.

Original language	English (US)
Pages (from-to)	989-998
Number of pages	10
Journal	AMIA ... Annual Symposium proceedings. AMIA Symposium
Volume	2021
State	Published - 2021

ASJC Scopus subject areas

General Medicine

Cite this

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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.",

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AU - Espinoza, Juan

AU - Meeker, Daniella

AU - Spratt, Heidi

AU - Madlock-Brown, Charisse

AU - Weiskopf, Nicole G.

AU - Wilcox, Adam

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

Abstract

ASJC Scopus subject areas

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