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Design and Deployment of a Pediatric Cardiac Arrest Surveillance System
Jordan Michel Duval-Arnould1, Heather Marie Newton2, Leann McNamara3
1Division of Health Sciences Informatics, Department of Anesthesiology and Critical Care Medicine, School of Medicine, The Johns Hopkins University, Baltimore, MD, USA.
Insights
A new surveillance system significantly improved the detection of pediatric cardiopulmonary resuscitation (CPR) events. This system also enhanced the collection of vital performance data for quality improvement initiatives.
Area of Science:
- Pediatric critical care medicine
- Health informatics
- Quality improvement science
Background:
- Effective quality improvement (QI) for pediatric cardiopulmonary resuscitation (CPR) requires accurate event detection and comprehensive physiologic data.
- Traditional methods often miss critical events, particularly outside of intensive care settings.
Purpose of the Study:
- To enhance the detection of pediatric CPR events.
- To improve the collection of physiologic and performance data for QI efforts.
Main Methods:
- Developed a workflow-driven surveillance system integrating hospital IT systems for CPR event detection.
- Analyzed detection data by notification source, type, location, and year.
- Compared new detection rates with previous methods.
Main Results:
- The system increased CPR event detection approximately ninefold.
- Key areas like Pediatric Intensive Care Unit (PICU) and Pediatric Emergency Department (PEDS-ED) accounted for 65% of CPR events.
- Performance data capture from defibrillators and bedside monitors increased annually from 1% in 2013 to 27% in 2015.
Conclusions:
- The implemented system substantially improved pediatric CPR event identification and performance data capture.
- Leveraging hospital IT and medical device data is crucial for identifying pediatric cardiac arrest events.
- Without this system, a significant percentage of critical events in various pediatric units would have been missed.
Objective:
We aimed to increase detection of pediatric cardiopulmonary resuscitation (CPR) events and collection of physiologic and performance data for use in quality improvement (QI) efforts.
Materials And Methods:
We developed a workflow-driven surveillance system that leveraged organizational information technology systems to trigger CPR detection and analysis processes. We characterized detection by notification source, type, location, and year, and compared it to previous methods of detection.
Results:
From 1/1/2013 through 12/31/2015, there were 2,986 unique notifications associated with 2,145 events, 317 requiring CPR. PICU and PEDS-ED accounted for 65% of CPR events, whereas floor care areas were responsible for only 3% of events. 100% of PEDS-OR and >70% of PICU CPR events would not have been included in QI efforts. Performance data from both defibrillator and bedside monitor increased annually. (2013: 1%; 2014: 18%; 2015: 27%).
Discussion:
After deployment of this system, detection has increased ∼9-fold and performance data collection increased annually. Had the system not been deployed, 100% of PEDS-OR and 50-70% of PICU, NICU, and PEDS-ED events would have been missed.
Conclusion:
By leveraging hospital information technology and medical device data, identification of pediatric cardiac arrest with an associated increased capture in the proportion of objective performance data is possible.
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