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Pediatrics|March 1, 2022
Pediatric Septic Shock Collaborative Improves Emergency Department Sepsis Care in ChildrenHolly Depinet, Charles G Macias, Fran Balamuth, et al.
The American Journal of Emergency Medicine|February 7, 2020
Early prediction of pediatric acute kidney injury from the emergency department: A pilot studyHolly R Hanson, Michael A Carlisle, Rachel S Bensman, et al.
Pediatric Research|December 12, 2025
Early prediction of antibiotic need and bacteremia risk in non-immunocompromised pediatric emergency patients using machine learningTom Velez, Oluwakemi Badaki-Makun, Danielle Hirsch, et al.
Shock (Augusta, Ga.)|June 19, 2026
PCT-Anchored Machine Learning for Pre-Culture Identification of Gram-Negative Sepsis in Children: A Four-Site StudyTom Velez, Maya Dewan, Oluwakemi Badaki-Makun, et al.
International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases|June 18, 2026
Mortality Risk Prediction from Dense PICU Data from Patients with Suspected Infection: Data-Derived Physiological Trajectories Outperform Expert Assessments When Temporal Resolution Is HighTom Velez, Oluwakemi Badaki-Makun, Danielle Hirsch, et al.
Critical Care Medicine|September 15, 2020
Evaluating Pediatric Sepsis Definitions Designed for Electronic Health Record Extraction and Multicenter Quality ImprovementHalden F Scott, Richard J Brilli, Raina Paul, et al.
JAMA Pediatrics|October 13, 2025
Derivation and Validation of Predictive Models for Early Pediatric SepsisElizabeth R Alpern, Halden F Scott, Fran Balamuth, et al.
Pediatrics|April 2, 2021
Metric Development for the Multicenter Improving Pediatric Sepsis Outcomes (IPSO) CollaborativeRaina Paul, Matthew Niedner, Richard Brilli, et al.
Pediatrics|December 17, 2020
Development of a Quality Improvement Learning Collaborative to Improve Pediatric Sepsis OutcomesGitte Y Larsen, Richard Brilli, Charles G Macias, et al.
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