Clinical algorithms may improve if race variables are replaced with causal factors associated with race, such as healthcare access, education and economic position, according to a study published Jan.

This is Part 1 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. Pediatrician Alexandra Epee-Bounya had had enough. In ...

Usha Lee McFarling is a former STAT reporter. Katie covers the impact of health technology on patients, clinicians, and businesses. Her stories explore the price tag of clinical AI, digital health at ...

Please provide your email address to receive an email when new articles are posted on . CMSS’ new initiative will look to improve patient care by ensuring equity is encoded in algorithms. The ...

While it's true that “racism” has left its fingerprints over medicine, STAT recently began a new investigative series looking at racial bias baked into the clinical algorithms used by physicians. As ...

Many health systems depend on prediction algorithms to identify and help patients with various health conditions. Some of these algorithms exhibit significant racial bias, resulting in millions of ...