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Doctors and other health care providers are increasingly using healthcare algorithms and artificial intelligence (AI), to diagnose patient illnesses, suggest treatments, predict health risks, and more. In some cases, this is fine. However, using healthcare algorithms and AI can sometimes worsen things for people from certain ethnic or racial groups.
In the latest post on the OMH Blog for Health Equity, Caleb J. Colón-Rodríguez, DrPH, Public Health Analyst at the HHS Office of Minority Health, describes how healthcare algorithms and AI bias can contribute to existing health disparities for certain populations based on race, ethnicity, gender, age, or other demographic factors, and best practices for addressing these challenges.
Read more on the OMH Blog for Health Equity.
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