BACKGROUND: The American Heart Association (AHA), in conjunction with the National
Institutes of Health, annually reports the most up-to-date statistics related to heart disease …

Background: The American Heart Association, in conjunction with the National Institutes of
Health, annually reports the most up-to-date statistics related to heart disease, stroke, and …

Background: The American Heart Association, in conjunction with the National Institutes of
Health, annually reports the most up-to-date statistics related to heart disease, stroke, and …

Objective Health care providers increasingly rely upon predictive algorithms when making
important treatment decisions, however, evidence indicates that these tools can lead to …

Importance Equity is an essential domain of health care quality. The Centers for Medicare &
Medicaid Services (CMS) developed 2 Disparity Methods that together assess equity in …

Importance Heart failure (HF) incidence is declining among Medicare beneficiaries.
However, the epidemiological mechanisms underlying this decline are not well understood …

Objective Sepsis has a high rate of 30-day unplanned readmissions. Predictive modeling
has been suggested as a tool to identify high-risk patients. However, existing sepsis …

Background The adoption of predictive algorithms in health care comes with the potential for
algorithmic bias, which could exacerbate existing disparities. Fairness metrics have been …

Abstract Purpose of Review Significant racial and ethnic healthcare disparities exist in the
management and outcomes of patients with acute myocardial infarction (AMI). This review …

Background: Despite improvements in prognosis following myocardial infarction (MI), racial
disparities persist. The objective of this study was to examine disparities between Black and …