This paper is in the following e-collection/theme issue:

Electronic Health Records (961) JMIR Theme Issue: COVID-19 Special Issue (2388) Clinical Informatics (904) Clinical Information and Decision Making (1314) Secondary Use of Clinical Data for Research and Surveillance (317)

Published on in Vol 10, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39235, first published .
Issues With Variability in Electronic Health Record Data About Race and Ethnicity: Descriptive Analysis of the National COVID Cohort Collaborative Data Enclave

Issues With Variability in Electronic Health Record Data About Race and Ethnicity: Descriptive Analysis of the National COVID Cohort Collaborative Data Enclave

Issues With Variability in Electronic Health Record Data About Race and Ethnicity: Descriptive Analysis of the National COVID Cohort Collaborative Data Enclave

Authors of this article:

Lily Cook1 Author Orcid Image ;   Juan Espinoza2 Author Orcid Image ;   Nicole G Weiskopf1 Author Orcid Image ;   Nisha Mathews3 Author Orcid Image ;   David A Dorr1 Author Orcid Image ;   Kelly L Gonzales4, 5, 6, 7 Author Orcid Image ;   Adam Wilcox8 Author Orcid Image ;   Charisse Madlock-Brown9 Author Orcid Image ;   N3C Consortium10
Article Authors Cited by (11) Tweetations (3) Metrics

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  7. El-Azab S, Nong P. Clinical algorithms, racism, and “fairness” in healthcare: A case of bounded justice. Big Data & Society 2023;10(2) View
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  11. Essaid S, Andre J, Brooks I, Hohman K, Hull M, Jackson S, Kahn M, Kraus E, Mandadi N, Martinez A, Mui J, Zambarano B, Soares A. MENDS-on-FHIR: leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance. JAMIA Open 2024;7(2) View