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Published on: January 27, 2019
Early Sepsis Response System Does Not Correlate with Pediatric Early Warning Score in Sepsis Recognition
Jody Huber1,2, Shelley Feng2, Amber Veldman3
1Sanford Children's Hospital, Sanford Medical Center, Sioux Falls, South Dakota.
A new sepsis alert system in electronic medical records significantly improves early sepsis detection in children compared to existing methods. This sepsis warning system offers better recognition for timely intervention and improved patient outcomes.
Area of Science:
- Pediatric critical care medicine
- Clinical informatics
- Health systems research
Background:
- Sepsis is a major cause of death in children globally, necessitating early detection.
- Electronic medical record (EMR)-based early recognition systems are recommended for pediatric care.
- Existing pediatric early warning scores (PEWS) help identify at-risk children but may not be optimal for sepsis.
Purpose of the Study:
- To develop and evaluate a novel sepsis early response warning system integrated into the EMR.
- To compare the effectiveness of this new system against the generic PEWS in identifying pediatric sepsis.
- To assess the feasibility of implementing such a sepsis alert system in a children's hospital.
Main Methods:
- A novel sepsis early warning system was implemented in the EMR of a tertiary pediatric hospital.
- A best practice alert (BPA) triggered for patients meeting sepsis criteria.
- Data from December 2018 to May 2020 were analyzed, comparing BPA sepsis identification with PEWS scores.
Main Results:
- The BPA triggered for 736 pediatric patients across different hospital units.
- The sepsis criteria identified 71% of these patients (524/736) as having sepsis.
- The existing PEWS identified only 13% (66/524) of sepsis patients identified by the BPA.
Conclusions:
- Implementing a sepsis-specific trigger tool within the EMR is feasible.
- The novel best practice alert system effectively identifies children with early sepsis.
- This sepsis alert system can be integrated into electronic medical records for improved detection.
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