Health systems rely on commercial prediction algorithms to identify and help patients with
complex health needs. We show that a widely used algorithm, typical of this industry-wide …

A single algorithm drives an important health care decision for over 70 million people in the
US. When health systems anticipate that a patient will have especially complex and …

An algorithm widely used in US hospi-tals to allocate health care to patients has been
systematically discriminating against black people, a sweeping analysis has found. The …

As more organizations and industries adopt digital tools to identify risk and allocate
resources, the automation of racial discrimination is a growing concern. Social scientists …

Diagnosing bias in data-driven algorithms for healthcare | Nature Medicine Skip to main
content Thank you for visiting nature.com. You are using a browser version with limited support …

Many widely used health algorithms have been shown to encode and reinforce racial health
inequities, prioritizing the needs of white patients over those of patients of color. Because …

The use of race measures in clinical prediction models is contentious. We seek to inform the
discourse by evaluating the inclusion of race in probabilistic predictions of illness that …

Recent scrutinyof artificial intelligence (AI)–based facial recognitionsoftwarehasrenewedconcernsa…
. Academic and government officials have raised concerns over racial and gender bias in …

Importance Algorithms are commonly incorporated into health care decision tools used by
health systems and payers and thus affect quality of care, access, and health outcomes …

Importance Health care algorithms are used for diagnosis, treatment, prognosis, risk
stratification, and allocation of resources. Bias in the development and use of algorithms can …