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Related Concept Videos

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Related Experiment Video

Updated: Nov 10, 2025

Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
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Metric Development for the Multicenter Improving Pediatric Sepsis Outcomes (IPSO) Collaborative.

Raina Paul1, Matthew Niedner2, Richard Brilli3

  • 1Division of Emergency Medicine, Advocate Children's Hospital, Park Ridge, Illinois; raina159@gmail.com.

Pediatrics
|April 2, 2021
PubMed
Summary

This study created standardized metrics and data collection methods for pediatric sepsis quality improvement across 56 US hospitals. The approach enhances electronic data capture for better tracking of patient outcomes over time.

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Area of Science:

  • Pediatric critical care medicine
  • Quality improvement science
  • Health informatics

Background:

  • A collaborative of 56 US hospitals, Improving Pediatric Sepsis Outcomes, was formed to enhance pediatric sepsis care.
  • This initiative builds upon prior quality improvement (QI) efforts by standardizing electronic data capture and uniformity across participating sites.

Purpose of the Study:

  • To develop and implement standardized variables and metrics for tracking quality improvement in pediatric sepsis patient outcomes.
  • To establish a robust data analysis plan for monitoring progress over time.

Main Methods:

  • An expert panel defined evidence-based metrics and corresponding variables across the care spectrum (ED, acute care, heme/onc, ICU).
  • Statistical process control charts were used to map variables and visualize progress, informing Plan-Do-Study-Act cycles.
  • Electronic health record (EHR) data abstraction feasibility was prioritized, defining time zero for sepsis recognition.

Main Results:

  • Twenty-four metrics were developed for a uniformly defined sepsis cohort, with 44 final variables mapped to statistical process control charts.
  • Forty of the 44 variables could be automatically abstracted from multiple EHRs, demonstrating high potential for automation.
  • Despite challenges with abstracting certain variables (<80% of encounters), 90% of the projected data (200,007 sepsis episodes) has been submitted.

Conclusions:

  • A comprehensive data dictionary was created for this large-scale pediatric sepsis QI collaborative, optimizing automated and sustainable reporting.
  • The developed methodologies are applicable to other large-scale QI projects utilizing EHR data abstraction for sepsis research.