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

Using an extensive phenotyping algorithm leveraging granular data in an EHR repository, we have identified people living with HIV, people not living with HIV, PrEP users, and PEP users. Our findings offer transferable lessons to optimize future EHR phenotyping for these cohorts.

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Publication Details

Journal
JMIR Medical Informatics
Published
2025-05-15
DOI
https://doi.org/10.2196/68143
Citations
2
Primary Topic
Medical Coding and Health Information
Type
article
Field-Weighted Citation Impact
5.88
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article

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

Amy L. Olex, Rena C. Patel, Nada Fadul, Tommy Williams et al.
2 citations
JMIR Medical Informatics
Medical Coding and Health Information
5.88
article

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

Amy L. Olex, Rena C. Patel, Nada Fadul, Tommy Williams, Jessica Y. Islam, Jing Sun, Dimple Vaidya, Vithal Madhira, Julie A. McMurry, Cara D Varley, Shukri A. Hassan, Alfred Jerrod Anzalone, Melissa Haendel, Sandra E. Safo, Zachary Butzin-Dozier, Lesley E. Jackson, Eric Hurwitz, Kenneth J. Wilkins, Dongmei Li, Pooja Maheria
article en
2 citations

Abstract

Using an extensive phenotyping algorithm leveraging granular data in an EHR repository, we have identified people living with HIV, people not living with HIV, PrEP users, and PEP users. Our findings offer transferable lessons to optimize future EHR phenotyping for these cohorts.

JMIR Medical InformaticsVol. 13
University of North Carolina at Chapel Hill (US), University of Minnesota (US), Johns Hopkins University (US), Oregon Health & Science University (US), Virginia Commonwealth University (US), University of Washington (US), University of South Florida (US), University of Rochester Medical Center (US), Moffitt Cancer Center (US), University of Alabama at Birmingham (US), National Institute of Diabetes and Digestive and Kidney Diseases (US), Vere Software (United States) (US), Berkeley Public Health Division (US), University of Nebraska Medical Center (US), University of California, Berkeley (US)
Good health and well-being
Openalex Percentile: Top 4%
Medical Coding and Health Information
5.88
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