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Updated: Oct 23, 2025

A Neonatal Imaging Model of Gram-Negative Bacterial Sepsis
Published on: August 12, 2020
Pediatric sepsis screening in US hospitals
Matthew A Eisenberg1,2, Fran Balamuth3,4,5,6
1Departments of Pediatrics and Emergency Medicine, Harvard Medical School, Boston, MA, USA. matthew.eisenberg@childrens.harvard.edu.
Pediatric sepsis screening tools are increasingly used in US hospitals to improve early recognition and treatment. This review examines current tools, their implementation, outcomes, and future directions, including AI-driven approaches for better sepsis identification.
Area of Science:
- Pediatrics
- Critical Care Medicine
- Health Services Research
Background:
- Sepsis significantly contributes to child morbidity and mortality.
- Early recognition and treatment are crucial but challenging due to non-specific early signs in children.
- Current sepsis protocols rely on timely clinician recognition of the condition.
Purpose of the Study:
- To review the growth and context of pediatric sepsis screening in the US.
- To describe various screening tools across different healthcare settings (ED, inpatient, ICU).
- To discuss the integration, effectiveness, potential harms, and future of sepsis screening.
Main Methods:
- Narrative review of existing literature and data on pediatric sepsis screening.
- Description of screening tool design, implementation, and evaluation.
- Analysis of data on sepsis screening integration into quality improvement programs and patient outcomes.
Main Results:
- Various pediatric sepsis screening tools are utilized in US emergency departments, inpatient wards, and ICUs.
- Data on the implementation, performance, and impact of these tools on patient outcomes are reviewed.
- Potential harms like alarm fatigue are discussed alongside future directions.
Conclusions:
- Pediatric sepsis screening has rapidly expanded in the US.
- Understanding the design, implementation, and outcomes of screening tools is vital.
- Future research should focus on novel, AI-driven tools for precision-based sepsis recognition and treatment.
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