Advancing Interoperability of Patient-level Social Determinants of Health Data to Support COVID-19 Research.
AMIA Annu Symp Proc
; 2022: 396-405, 2022.
Artigo
em Inglês
| MEDLINE | ID: covidwho-20241303
ABSTRACT
Including social determinants of health (SDoH) data in health outcomes research is essential for studying the sources of healthcare disparities and developing strategies to mitigate stressors. In this report, we describe a pragmatic design and approach to explore the encoding needs for transmitting SDoH screening tool responses from a large safety-net hospital into the National Covid Cohort Collaborative (N3C) OMOP dataset. We provide a stepwise account of designing data mapping and ingestion for patient-level SDoH and summarize the results of screening. Our approach demonstrates that sharing of these important data - typically stored as non-standard, EHR vendor specific codes - is feasible. As SDoH screening gains broader use nationally, the approach described in this paper could be used for other screening instruments and improve the interoperability of these important data.
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Base de dados:
MEDLINE
Assunto principal:
Determinantes Sociais da Saúde
/
COVID-19
Tipo de estudo:
Estudo de coorte
/
Estudo observacional
/
Estudo prognóstico
Limite:
Humanos
Idioma:
Inglês
Revista:
AMIA Annu Symp Proc
Assunto da revista:
Informática Médica
Ano de publicação:
2022
Tipo de documento:
Artigo
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