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

Eric Hurwitz   1 * , PhD ;   Cara D Varley   2 * , MPH, MD ;   A Jerrod Anzolone   3 , PhD ;   Vithal Madhira   4 , MS ;   Amy L Olex   5 , PhD ;   Jing Sun   6 , MPH, MD, PhD ;   Dimple Vaidya   7 , MS ;   Nada Fadul   8 , MD ;   Jessica Y Islam   9, 10 , MPH, PhD ;   Lesley E Jackson   11 , MD ;   Kenneth J Wilkins   12 , PhD ;   Zachary Butzin-Dozier   13 , MPH, PhD ;   Dongmei Li   14 , PhD ;   Sandra E Safo   15 , PhD ;   Julie A McMurry   1 , MPH ;   Pooja Maheria   11 , MS ;   Tommy Williams   11 ;   Shukri A Hassan   7 , BS ;   Melissa A Haendel   1 , PhD ;   Rena C Patel   11 , MPH, MPhil, MD ;   The National Clinical Cohort Collaborative (N3C) Consortium   16 *

1 Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

2 School of Medicine, Oregon Health & Science University, Portland, OR, United States

3 Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, United States

4 Palila Software, Reno, NV, United States

5 Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States

6 Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

7 Department of Medicine, University of Washington, Seattle, WA, United States

8 Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States

9 Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States

10 Department of Oncologic Sciences, University of South Florida, Tampa, FL, United States

11 Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States

12 Biostatistics Program Office of the Director, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States

13 Division of Biostatistics, University of California Berkeley School of Public Health, Berkeley, CA, United States

14 Department of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY, United States

15 Department of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, United States

16 See Acknowledgments, Rockville, MD, United States

*these authors contributed equally

Corresponding Author:

  • Eric Hurwitz, PhD
  • Department of Genetics
  • University of North Carolina at Chapel Hill
  • 120 Mason Farm Road
  • Chapel Hill, NC 27514
  • United States
  • Phone: 1 919 843 8724
  • Email: eric_hurwitz@med.unc.edu