Design and Deployment of a Pediatric Cardiac Arrest Surveillance System

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 in...

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Main Authors: Jordan Michel Duval-Arnould, Heather Marie Newton, Leann McNamara, Branden Michael Engorn, Kareen Jones, Meghan Bernier, Pamela Dodge, Cheryl Salamone, Utpal Bhalala, Justin M. Jeffers, Lilly Engineer, Marie Diener-West, Elizabeth Anne Hunt
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Critical Care Research and Practice
Online Access:http://dx.doi.org/10.1155/2018/9187962
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spelling doaj-4abbf2c1b740446485c8c0681af753dc2020-11-24T22:40:52ZengHindawi LimitedCritical Care Research and Practice2090-13052090-13132018-01-01201810.1155/2018/91879629187962Design and Deployment of a Pediatric Cardiac Arrest Surveillance SystemJordan Michel Duval-Arnould0Heather Marie Newton1Leann McNamara2Branden Michael Engorn3Kareen Jones4Meghan Bernier5Pamela Dodge6Cheryl Salamone7Utpal Bhalala8Justin M. Jeffers9Lilly Engineer10Marie Diener-West11Elizabeth Anne Hunt12Division of Health Sciences Informatics, Department of Anesthesiology and Critical Care Medicine, School of Medicine, The Johns Hopkins University, Baltimore, MD, USADepartment of Occupational Health, The Johns Hopkins Hospital, Baltimore, MD, USADepartment of Pharmacy, The Johns Hopkins Hospital, Baltimore, MD, USADepartment of Anesthesiology and Critical Care Medicine and Department of Pediatrics, School of Medicine, The Johns Hopkins University, Baltimore, MD, USADepartment of Anesthesiology and Critical Care Medicine, School of Medicine, The Johns Hopkins University, Baltimore, MD, USADepartment of Anesthesiology and Critical Care Medicine, School of Medicine, The Johns Hopkins University, Baltimore, MD, USADepartment of Pediatrics, The Johns Hopkins Hospital, Baltimore, MD, USANeonatology Respiratory Therapy, The Johns Hopkins Hospital, Baltimore, MD, USADepartment of Anesthesiology and Critical Care Medicine, School of Medicine, The Johns Hopkins University, Baltimore, MD, USADepartment of Pediatrics, The Johns Hopkins Hospital, Baltimore, MD, USADepartment of Anesthesiology and Critical Care Medicine, School of Medicine, The Johns Hopkins University, Baltimore, MD, USADepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USADivision of Health Sciences Informatics, Department of Anesthesiology and Critical Care Medicine, School of Medicine, The Johns Hopkins University, Baltimore, MD, USAObjective. 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.http://dx.doi.org/10.1155/2018/9187962
collection DOAJ
language English
format Article
sources DOAJ
author Jordan Michel Duval-Arnould
Heather Marie Newton
Leann McNamara
Branden Michael Engorn
Kareen Jones
Meghan Bernier
Pamela Dodge
Cheryl Salamone
Utpal Bhalala
Justin M. Jeffers
Lilly Engineer
Marie Diener-West
Elizabeth Anne Hunt
spellingShingle Jordan Michel Duval-Arnould
Heather Marie Newton
Leann McNamara
Branden Michael Engorn
Kareen Jones
Meghan Bernier
Pamela Dodge
Cheryl Salamone
Utpal Bhalala
Justin M. Jeffers
Lilly Engineer
Marie Diener-West
Elizabeth Anne Hunt
Design and Deployment of a Pediatric Cardiac Arrest Surveillance System
Critical Care Research and Practice
author_facet Jordan Michel Duval-Arnould
Heather Marie Newton
Leann McNamara
Branden Michael Engorn
Kareen Jones
Meghan Bernier
Pamela Dodge
Cheryl Salamone
Utpal Bhalala
Justin M. Jeffers
Lilly Engineer
Marie Diener-West
Elizabeth Anne Hunt
author_sort Jordan Michel Duval-Arnould
title Design and Deployment of a Pediatric Cardiac Arrest Surveillance System
title_short Design and Deployment of a Pediatric Cardiac Arrest Surveillance System
title_full Design and Deployment of a Pediatric Cardiac Arrest Surveillance System
title_fullStr Design and Deployment of a Pediatric Cardiac Arrest Surveillance System
title_full_unstemmed Design and Deployment of a Pediatric Cardiac Arrest Surveillance System
title_sort design and deployment of a pediatric cardiac arrest surveillance system
publisher Hindawi Limited
series Critical Care Research and Practice
issn 2090-1305
2090-1313
publishDate 2018-01-01
description 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.
url http://dx.doi.org/10.1155/2018/9187962
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