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Tag: bias

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Health equity

How Racial Bias in Lab Testing Impacts AI in Healthcare

Artificial intelligence (AI) is transforming healthcare, but what happens when the data feeding these powerful tools carries the weight of systemic inequities? A recent study highlights how racial disparities in emergency department (ED) laboratory testing could reinforce biases in AI models, potentially widening the health equity gap. If you’re working to make healthcare more just, […]

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Health equity

Racial Bias in Electronic Health Records

In the past few years, discussions about racial disparities in healthcare have grown louder. The COVID-19 pandemic not only highlighted these disparities but also emphasized how systemic racism continues to harm the health and well-being of racially marginalized communities. One important but often overlooked area where racial bias surfaces is in electronic health records (EHRs)—the […]

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Health equity

Implicit Bias Training: Are We Really Addressing the Issue?

Implicit bias training in healthcare has gained significant attention over the past decade as a crucial tool in combating disparities in patient care. With growing evidence that healthcare providers’ unconscious biases contribute to unequal treatment across different racial, ethnic, and social groups, many institutions have implemented training programs to address this issue. But how effective […]

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AI

A [short] conversation with Per Nilsen

Dr. Per Nilsen is a distinguished professor specializing in implementation science, a rapidly growing interdisciplinary field focused on bridging the gap between research and practice. As a member of the Department of Health, Medicine and Caring Sciences at Linköping University, he leads the Division of Society and Health. Dr. Nilsen has been instrumental in developing […]

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AI

Unraveling the Enigma of AI Bias in Healthcare: A Call to Action for Public Health Practitioners

The emergence of artificial intelligence (AI) in healthcare promises a revolution in patient care and treatment outcomes. However, the insightful article Bias in artificial intelligence algorithms and recommendations for mitigation, highlights a critical issue: the inherent bias in AI algorithms. This piece aims to dissect the complex layers of this bias and its implications for […]

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