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

BackgroundElectronic health records (EHRs) provide valuable insights to address clinical and epidemiological research concerning HIV, including the disproportionate impact of the COVID-19 pandemic on people living with HIV. To identify this population, most studies using EHR...

Full description

Saved in:
Bibliographic Details
Main Authors: Eric Hurwitz, Cara D Varley, A Jerrod Anzolone, Vithal Madhira, Amy L Olex, Jing Sun, Dimple Vaidya, Nada Fadul, Jessica Y Islam, Lesley E Jackson, Kenneth J Wilkins, Zachary Butzin-Dozier, Dongmei Li, Sandra E Safo, Julie A McMurry, Pooja Maheria, Tommy Williams, Shukri A Hassan, Melissa A Haendel, Rena C Patel
Format: Article
Language:English
Published: JMIR Publications 2025-07-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2025/1/e68143
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://medinform.jmir.org/2025/1/e68143

Similar Items