Equity and bias in electronic health records data
Recommended Citation
Boyd AD, Gonzalez-Guarda R, Lawrence K, Patil CL, Ezenwa MO, O'Brien EC, Paek H, Braciszewski JM, Adeyemi O, Cuthel AM, Darby JE, Zigler CK, Ho PM, Faurot KR, Staman K, Leigh JW, Dailey DL, Cheville A, Del Fiol G, Knisely MR, Marsolo K, Richesson RL, and Schlaeger JM. Equity and bias in electronic health records data. Contemp Clin Trials 2023;107238.
Document Type
Article
Publication Date
7-1-2023
Publication Title
Contemp Clin Trials
Abstract
Embedded pragmatic clinical trials (ePCTs) are conducted during routine clinical care and have the potential to increase knowledge about the effectiveness of interventions under real world conditions. However, many pragmatic trials rely on data from the electronic health record (EHR) data, which are subject to bias from incomplete data, poor data quality, lack of representation from people who are medically underserved, and implicit bias in EHR design. This commentary examines how the use of EHR data might exacerbate bias and potentially increase health inequities. We offer recommendations for how to increase generalizability of ePCT results and begin to mitigate bias to promote health equity.
Medical Subject Headings
Humans; Electronic Health Records; Health Promotion; Bias; Data Accuracy; Health Equity
PubMed ID
37225122
ePublication
ePub ahead of print
Volume
130
First Page
107238
Last Page
107238
