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

Public (e)Health, Digital Epidemiology and Public Health Informatics (1009) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (999) Data Science (357) mHealth for Data Collection and Research (1196) Participatory Medicine & E-Patients (874) HIV/AIDS/STI Prevention and Care (1043) Electronic Health Records (1319) Vulnerable Populations in Health Research (237) Big Data (307) Design of Processes and Workflows (187)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71388, first published .
The Lifecycle of Electronic Health Record Data in HIV-Related Big Data Studies: Qualitative Study of Bias Instances and Potential Opportunities for Minimization

The Lifecycle of Electronic Health Record Data in HIV-Related Big Data Studies: Qualitative Study of Bias Instances and Potential Opportunities for Minimization

The Lifecycle of Electronic Health Record Data in HIV-Related Big Data Studies: Qualitative Study of Bias Instances and Potential Opportunities for Minimization

Authors of this article:

Arielle N'Diaye1 Author Orcid Image ;   Shan Qiao1 Author Orcid Image ;   Camryn Garrett1 Author Orcid Image ;   George Khushf2 Author Orcid Image ;   Jiajia Zhang3 Author Orcid Image ;   Xiaoming Li1 Author Orcid Image ;   Bankole Olatosi4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Arielle N'Diaye   1 , MSPH ;   Shan Qiao   1 , PhD ;   Camryn Garrett   1 , MPH ;   George Khushf   2 , PhD ;   Jiajia Zhang   3 , PhD ;   Xiaoming Li   1 , PhD ;   Bankole Olatosi   4 , PhD

1 Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States

2 Department of Philosophy, College of Arts and Sciences, University of South Carolina, Columbia, SC, United States

3 Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States

4 Department of Health Services, Policy, and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States

Corresponding Author:

  • Shan Qiao, PhD
  • Department of Health Promotion, Education, and Behavior
  • Arnold School of Public Health, University of South Carolina
  • Discovery 410, 915 Greene Street
  • Columbia, SC 29208
  • United States
  • Phone: 1 803-777-6844
  • Email: shanqiao@mailbox.sc.edu