The use of machine learning (ML) in healthcare raises numerous ethical concerns,
especially as models can amplify existing health inequities. Here, we outline ethical …

Objective The aim of this study was to collect and synthesize evidence regarding data
quality problems encountered when working with variables related to social determinants of …

Importance Stigmatizing language in the electronic health record (EHR) may alter treatment
plans, transmit biases between clinicians, and alienate patients. However, neither the …

Understanding population health disparities is an essential component of equitable
precision health efforts. Epidemiology research often relies on definitions of race and …

Quality improvement (QI) can be a critical means by which to achieve equity in health and
health care. QI efforts, however, often fail to be designed and implemented through the lens …

Introduction This study sought to characterize racial and ethnic disparities in cervical cancer
screening and follow-up of abnormal findings across 3 US healthcare settings. Methods …

Background Research regarding disparities in physical restraint use in the emergency
department (ED) is limited. We evaluated the role of race, ethnicity, and preferred language …

For decades, epidemiologists have documented a health advantage among Hispanic/Latinx
individuals who live in the United States, despite their significant socioeconomic barriers …

Objectives. To assess the performance of US health centers during the first year of required
sexual orientation and gender identity (SOGI) data reporting and to estimate the baseline …

Evidence of health disparities affecting newborns abounds. Although quality improvement
(QI) methodology is often suggested as a tool to advance health equity, the impact of QI …