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

Electronic Health Records (1356) Clinical Informatics (1385) HIV/AIDS/STI Prevention and Care (1069) Digital Biomarkers and Digital Phenotyping (305) Public (e)Health, Digital Epidemiology and Public Health Informatics (1060) Ontologies, Classifications, and Coding (338) Tools, Programs and Algorithms (396) Data Science (375) Secondary Use of Clinical Data for Research and Surveillance (487)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68143, first published .
Identifying People Living With or Those at Risk for HIV in a Nationally Sampled Electronic Health Record Repository Called the National Clinical Cohort Collaborative: Computational Phenotyping Study

Identifying People Living With or Those at Risk for HIV in a Nationally Sampled Electronic Health Record Repository Called the National Clinical Cohort Collaborative: Computational Phenotyping Study

Identifying People Living With or Those at Risk for HIV in a Nationally Sampled Electronic Health Record Repository Called the National Clinical Cohort Collaborative: Computational Phenotyping Study

Authors of this article:

Eric Hurwitz1 Author Orcid Image ;   Cara D Varley2 Author Orcid Image ;   A Jerrod Anzolone3 Author Orcid Image ;   Vithal Madhira4 Author Orcid Image ;   Amy L Olex5 Author Orcid Image ;   Jing Sun6 Author Orcid Image ;   Dimple Vaidya7 Author Orcid Image ;   Nada Fadul8 Author Orcid Image ;   Jessica Y Islam9, 10 Author Orcid Image ;   Lesley E Jackson11 Author Orcid Image ;   Kenneth J Wilkins12 Author Orcid Image ;   Zachary Butzin-Dozier13 Author Orcid Image ;   Dongmei Li14 Author Orcid Image ;   Sandra E Safo15 Author Orcid Image ;   Julie A McMurry1 Author Orcid Image ;   Pooja Maheria11 Author Orcid Image ;   Tommy Williams11 Author Orcid Image ;   Shukri A Hassan7 Author Orcid Image ;   Melissa A Haendel1 Author Orcid Image ;   Rena C Patel11 Author Orcid Image ;   The National Clinical Cohort Collaborative (N3C) Consortium16
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Essam Nkodo E, Maheria P, Hurwitz E, Anzalone A, Li D, Islam J, Sun J, Varley C, Butzin-Dozier Z, Safo S, Kirksey K, Hassan S, Camacho-Rivera M, Patel R, Fadul N. HIV Status and COVID-19 Treatment Disparities in the US National Clinical Cohort Collaborative. Open Forum Infectious Diseases 2025;13(1) View
  2. Yang H, Han D, Hurwitz E, Anzalone J, Varley C, Safo S, Sun J, Li D, Camacho-Rivera M, Fadul N, Butzin-Dozier Z, Nosyk B, Patel R, Zang X, Chute C. Racial, ethnic, and regional disparities in HIV testing during the COVID-19 pandemic in the USA: a nationwide, retrospective, observational study using National Clinical Cohort Collaborative data. The Lancet HIV 2026 View