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Artificial intelligence (AI) and machine learning (ML) are increasingly used in healthcare to combat unsustainable spending and produce better outcomes with limited resources, but healthcare organizations (HCOs) must take steps to ensure they are actively mitigating and avoiding algorithmic bias.
Implementing a comprehensive strategy to advance health equity is a moral and financial imperative for healthcare organizations (HCOs). Persistent health disparities create preventable suffering and excess costs, are fueled by social determinants of health (SDoH), and consistently disadvantage people of color. Recent studies of racial equity estimate that $135 billion could be saved annually if racial disparities in health were eliminated, including $93 billion in excess costs of care.
Social determinants of health (SDoH) profoundly affect a person’s overall health, and according to the Centers for Disease Control and Prevention (CDC), addressing them is one of the “primary approaches to achieving health equity.” SDoH, defined as “the non-medical factors that influence health,” encompass the conditions in which people are born, grow, work, live, and age, including...