STAT series 'Embedded Bias' explores how race-based clinical algorithms became pervasive in medicine, and why racial factors have been difficult to …
Embedded Bias: The struggle over removing race from clinical algorithms
For many patients, it comes as a shock to learn that calculators used to guide their care give different answers depending on their race. This series explores how these race-based clinical algorithms came to pervade medicine, the harm they may cause — and why it’s proving so difficult to remove race from the equation. Follow this storyboard for new stories from this series.
Pediatrician Alexandra Epee-Bounya had had enough. In her 20 years caring for children in Boston, she had seen hundreds of kids with suspected …
Algorithms are ubiquitous in medicine. They can take the form of a flowchart, a simple equation, or a complicated AI model, and are used to help …
Every day, physicians use clinical algorithms to make decisions about the patients in their exam rooms. To help weigh a patient’s surgical risk or …
It was created with the best intentions: a government policy asking researchers to collect racial data to help address health disparities. But it may …