Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...

AI-driven decision tools are increasingly determining what post-acute care services patients receive, and what they don’t. As a health tech CEO working with hospitals, skilled nursing facilities (SNFs ...

Around the world, algorithms are increasingly being asked to do something once reserved for human judgment: help decide who should remain free and who should be deprived of liberty. In recent years, ...

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 approach and ...