Quality

Connect, share learnings, and collaborate on care and system improvements that impact child health outcomes.

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

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

A comprehensive asthma program resulted in fewer hospitalizations and emergency visits and earned a rare Joint Commission certification.

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 CHA collaborative has spent 15 years driving down infection rates for children with end-stage kidney disease.

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.