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Advancing Interoperability of Patient-level Social Determinants of Health Data to Support COVID-19 Research.
Phuong, Jimmy; Hong, Stephanie; Palchuk, Matvey B; Espinoza, Juan; Meeker, Daniella; Dorr, David A; Lozinski, Galina; Madlock-Brown, Charisse; Adams, William G.
  • Phuong J; Division of Biomedical and Health Informatics, UW Medicine, Seattle, Washington.
  • Hong S; University of Washington Medicine Research IT, Seattle, Washington.
  • Palchuk MB; Section of Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Espinoza J; TriNetX, LLC, Cambridge, MA.
  • Meeker D; Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA.
  • Dorr DA; Department of Preventive Medicine, University of Southern California, Los Angeles, California.
  • Lozinski G; Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR.
  • Madlock-Brown C; Department of Pediatrics, Boston Medical Center/Boston University School of Medicine.
  • Adams WG; Tennessee Clinical and Translational Science Institute, University of Tennessee Health Science Center, Memphis, Tennessee.
AMIA Annu Symp Proc ; 2022: 396-405, 2022.
Article in English | 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Determinants of Health / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: AMIA Annu Symp Proc Journal subject: Medical Informatics Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Determinants of Health / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: AMIA Annu Symp Proc Journal subject: Medical Informatics Year: 2022 Document Type: Article