Fierce Healthcare April 12, 2024
Anika Heavener

AI is riddled by bias, especially in healthcare. Just one well-known example is a study from 2019 that revealed racial bias in a clinical algorithm used by hospitals showing that Black patients had to be significantly sicker than white patients to receive the same care. The bias stemmed from training data reflecting historical healthcare spending disparities between Black and white patients.

From racism to ageism, these biases have already had profound implications in health outcomes, particularly for older adults. This is not an issue of the future but an issue of today. With biased healthcare algorithms being used every day, impacting who receives medical care and support, algorithmic bias is a public health issue that needs to be addressed with...

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Topics: AI (Artificial Intelligence), Equity/SDOH, Healthcare System, Technology
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