Quality

ChatGPT helps Stanford Medicine Children’s Health identify key safety risks in less time and with greater accuracy.

Explore education and initiatives to support the well-being of your workforce.

A readmissions predictor helps children’s hospitals reduce patient stays and compare their rates to peers at every APR-DRG level.

The only federally designated pediatric Patient Safety Organization in the country reveals the top concerns children’s hospitals are addressing.

Explore how Stanford Medicine Children’s Health uses advanced large language models to revolutionize patient safety by analyzing near-miss and precursor safety events.

A change package developed by the Improving Pediatric Sepsis Outcomes collaborative helps hospitals identify and treat the condition sooner.

A first-of-its-kind in-utero intervention could increase survival rates for other high-risk infants.

An innovative approach to preventing safety events leads to dramatically improved outcomes at Johns Hopkins Children’s Center.

A machine learning intervention ensures the highest-acuity patients receive emergency care quickly.