TY - JOUR
T1 - Design and Deployment of a Pediatric Cardiac Arrest Surveillance System
AU - Duval-Arnould, Jordan Michel
AU - Newton, Heather Marie
AU - McNamara, Leann
AU - Engorn, Branden Michael
AU - Jones, Kareen
AU - Bernier, Meghan
AU - Dodge, Pamela
AU - Salamone, Cheryl
AU - Bhalala, Utpal
AU - Jeffers, Justin M.
AU - Engineer, Lilly
AU - Diener-West, Marie
AU - Hunt, Elizabeth Anne
N1 - Publisher Copyright:
© 2018 Jordan Michel Duval-Arnould et al.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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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U2 - 10.1155/2018/9187962
DO - 10.1155/2018/9187962
M3 - Article
C2 - 29854451
AN - SCOPUS:85047569757
SN - 2090-1305
VL - 2018
JO - Critical Care Research and Practice
JF - Critical Care Research and Practice
M1 - 9187962
ER -