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JAMA Network Open Conversations

Algorithm Bias and Racial and Ethnic Disparities in Health and Health Care

Dec 15, 2023
Dr. Marshall H. Chin and Dr. Lucila Ohno-Machado discuss addressing algorithm bias in healthcare to reduce racial disparities. They emphasize the importance of diverse input, transparency, equity promotion, stakeholder collaboration, and ongoing monitoring for fair and patient-centered outcomes.
12:46

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Quick takeaways

  • Racial and ethnic biases in healthcare algorithms require proactive guiding principles for equity promotion.
  • Transparency, explainability, and accountability are essential for addressing bias in healthcare algorithms.

Deep dives

Importance of Addressing Racial and Ethnic Bias in Healthcare Algorithms

Healthcare algorithms play a significant role in decision-making within clinical care and healthcare, with the potential to improve outcomes but also the risk of perpetuating biases. Instances of racial and ethnic biases in algorithms have been observed in various sectors, indicating a critical need to establish guiding principles to tackle these disparities. Algorithms that learn from biased data can themselves become biased, underscoring the importance of addressing these issues proactively to promote health equity.

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