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KERA's Think

Is race a risk factor in medicine?

Sep 19, 2024
Katie Palmer, a Health Tech Correspondent for Stat News, teams up with Usha Lee McFarling, co-author of 'Embedded Bias', to tackle the tough issues surrounding racial disparities in medicine. They explore the drawn-out debates over using race in medical algorithms and diagnostic tools. Insights reveal how these biases lead to alarming underdiagnosis, particularly in Black children. The duo also discusses how the medical community can advocate for change, emphasizing the importance of individualized patient care over broad racial categories.
45:17

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Quick takeaways

  • The incorporation of race in medical diagnostics has historically perpetuated healthcare disparities, often leading to misdiagnoses and inequitable treatment for marginalized groups.
  • Efforts to remove race from clinical algorithms must be carefully considered to avoid obscuring critical health patterns affecting diverse populations while promoting equitable care.

Deep dives

Racial Bias in Medical Diagnoses

Disparities in health outcomes based on race are often ingrained in diagnostic tools, affecting patient care regardless of healthcare providers' beliefs. For example, algorithms that incorporate race into the diagnosis of urinary tract infections (UTIs) can lead to misdiagnoses among Black children. The use of race-based calculators can result in under-treatment for this demographic, as their lower reported rates of UTIs contribute to a false sense of security. Ultimately, even well-intentioned algorithms can perpetuate health disparities due to the absence of biological reasoning behind these race-based decisions.

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