Uncharted with Hannah Fry
9. Access Denied
Oct 2, 2023
A young researcher uncovers shocking findings in a secretive data set. The podcast delves into the intersection of medicine and artificial intelligence, highlighting biases in healthcare algorithms. It discusses proactive patient care and the need for algorithmic transparency and equality.
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Quick takeaways
- Algorithm designed to predict high-risk patients unintentionally discriminated against sicker black patients due to systemic biases.
- Collaboration to reduce bias in healthcare algorithms emphasizes the importance of transparency and equity for fair outcomes.
Deep dives
Unveiling Algorithmic Biases in Healthcare
Health systems face the challenge of identifying high-risk patients to prevent emergency care effectively. Dr. Obermeyer's algorithm aimed to proactively target patients before they fell ill, optimizing hospital resources. However, a promising algorithm revealed racial bias, favoring white patients over sicker black patients. The algorithm's prediction of healthcare costs inadvertently discriminated due to systemic inequalities in access and spending between white and black patients.
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