Health Disparities

Health disparities have the largest impact on the access, quality of care and outcomes overall in many patient populations defined by factors such as race, ethnicity, gender, education level, income, disability, geographic location. Many other factors also play a role, including if a patient is in a rural of urban location, distances to hospitals, pharmacies and clinics. These factors of inequitable access or healthcare are often directly related to the historical and ongoing unequal distribution of social, political, economic, and environmental resources. This page includes content defining health disparities and efforts to address them.
Clyde W. Yancy, MD, MSc, vice dean for diversity and inclusion, chief of cardiology in the Department of Medicine, and a professor of medicine in cardiology and medical social sciences at Northwestern Medicine, discusses health equity issues in cardiology at the American Heart Association (AHA) 2022 meeting.

VIDEO: Health equity and diversity is a business model

Clyde Yancy, MD, vice dean for diversity and inclusion, chief of cardiology, and a professor of medicine in cardiology and medical social sciences at Northwestern Medicine, discusses health equity issues and how greater inclusion should be a business model because of changing demographics.

Late-breaking cardiovascular study presentation at AHA 2022. #AHA22

VIDEO: Key takeaways from AHA 2022

Manesh R. Patel, MD, chair of AHA Scientific Sessions program, explains what he saw as the top takeaways from AHA 2022.

Leslee Shaw, PhD, MSCCT, FACC, MASNC, FAHA, director of the Blavatnik Family Women's Health Research Institute, a professor of medicine at the Icahn School of Medicine at Mount Sinai, and a former president of both SCCT and ASNC. She explains the sex differences in cardiovascular imaging presentations in women versus men.

VIDEO: CT can play a role in identifying women's differences in cardiovascular presentations

Leslee Shaw, PhD, director of the Blavatnik Family Women's Health Research Institute, a professor of medicine at the Icahn School of Medicine at Mount Sinai, and a former president of both SCCT and ASNC, explains the sex differences in cardiovascular imaging presentations in women versus men. 

Validation and testing of all artificial intelligence (AI) algorithms is needed to eliminate any biases in the data used to train the AI, according to HIMSS.

VIDEO: Understanding biases in healthcare AI

Validation and testing of all algorithms is needed to eliminate any biases in the data used to train the AI, according to Julius Bogdan, vice president and general manager of the HIMSS Digital Health Advisory Team for North America.

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VIDEO: Use of AI to address health equity and health consumerization

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains the use of artificial intelligence (AI) algorithms to help address health disparities and the rise of healthcare consumerism.

VIDEO: Gender differences in women with cardiovascular disease and implications for imagers

Erin D. Michos, MD, co-editor in chief of the American Journal of Preventive Cardiology, discusses gender differences in heart disease presentations.

LaPrincess Brewer, M.D., a Mayo Clinic preventive cardiologist and principal investigator of the study, explains a heart model.

An immediate impact: Smartphone app boosts health of Black patients in just 10 weeks

A new trial for participants from 16 church groups in Minnesota showed that app users significantly improved their heart health scores after just 10 weeks.

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Cardiologists applaud new research on social/structural determinants of health among heart patients

The American Heart Association and Association of Black Cardiologists announced the winners of a six-month data challenge, describing health equity as "one of the most pressing areas in healthcare.”

Around the web

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.