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Development of a Clinical Decision Support System for Pediatric Abdominal Pain in Emergency Department Settings Across Two Health Systems Within the HCSRN
BACKGROUND: Appendicitis is a common surgical emergency in children, yet diagnosis can be challenging. An electronic health record (EHR) based, clinical decision support (CDS) system called Appy CDS was designed to help guide management of pediatric patients with acute abdominal pain within the Heal...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ubiquity Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460497/ https://www.ncbi.nlm.nih.gov/pubmed/30993147 http://dx.doi.org/10.5334/egems.282 |
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author | Ekstrom, Heidi L. Kharbanda, Elyse O. Ballard, Dustin W. Vinson, David R. Vazquez-Benitez, Gabriela Chettipally, Uli K. Dehmer, Steven P. Kunisetty, Gopikrishna Sharma, Rashmi Rauchwerger, Adina S. O’Connor, Patrick J. Kharbanda, Anupam B. |
author_facet | Ekstrom, Heidi L. Kharbanda, Elyse O. Ballard, Dustin W. Vinson, David R. Vazquez-Benitez, Gabriela Chettipally, Uli K. Dehmer, Steven P. Kunisetty, Gopikrishna Sharma, Rashmi Rauchwerger, Adina S. O’Connor, Patrick J. Kharbanda, Anupam B. |
author_sort | Ekstrom, Heidi L. |
collection | PubMed |
description | BACKGROUND: Appendicitis is a common surgical emergency in children, yet diagnosis can be challenging. An electronic health record (EHR) based, clinical decision support (CDS) system called Appy CDS was designed to help guide management of pediatric patients with acute abdominal pain within the Health Care Systems Research Network (HCSRN). OBJECTIVES: To describe the development and implementation of a clinical decision support tool (Appy CDS) built independently but synergistically at two large HCSRN affiliated health systems using well-established platforms, and to assess the tool’s Triage component, aiming to identify pediatric patients at increased risk for appendicitis. RESULTS: Despite differences by site in design and implementation, such as the use of alerts, incorporating gestalt, and other workflow variations across sites, using simple screening questions and automated exclusions, both systems were able to identify a population with similar appendicitis rates (11.8 percent and 10.6 percent), where use of the full Appy CDS would be indicated. DISCUSSION: These 2 HCSRN sites designed Appy CDS to capture a population at risk for appendicitis and deliver CDS to that population while remaining locally relevant and adhering to organizational preferences. Despite different approaches to point-of-care CDS, the sites have identified similar cohorts with nearly identical background rates of appendicitis. NEXT STEPS: The full Appy CDS tool, providing personalized risk assessment and tailored recommendations, is undergoing evaluation as part of a pragmatic cluster randomized trial aiming to reduce reliance on advanced diagnostic imaging. The novel approaches to CDS we present could serve as the basis for future ED interventions. |
format | Online Article Text |
id | pubmed-6460497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Ubiquity Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64604972019-04-16 Development of a Clinical Decision Support System for Pediatric Abdominal Pain in Emergency Department Settings Across Two Health Systems Within the HCSRN Ekstrom, Heidi L. Kharbanda, Elyse O. Ballard, Dustin W. Vinson, David R. Vazquez-Benitez, Gabriela Chettipally, Uli K. Dehmer, Steven P. Kunisetty, Gopikrishna Sharma, Rashmi Rauchwerger, Adina S. O’Connor, Patrick J. Kharbanda, Anupam B. EGEMS (Wash DC) Empirical Research BACKGROUND: Appendicitis is a common surgical emergency in children, yet diagnosis can be challenging. An electronic health record (EHR) based, clinical decision support (CDS) system called Appy CDS was designed to help guide management of pediatric patients with acute abdominal pain within the Health Care Systems Research Network (HCSRN). OBJECTIVES: To describe the development and implementation of a clinical decision support tool (Appy CDS) built independently but synergistically at two large HCSRN affiliated health systems using well-established platforms, and to assess the tool’s Triage component, aiming to identify pediatric patients at increased risk for appendicitis. RESULTS: Despite differences by site in design and implementation, such as the use of alerts, incorporating gestalt, and other workflow variations across sites, using simple screening questions and automated exclusions, both systems were able to identify a population with similar appendicitis rates (11.8 percent and 10.6 percent), where use of the full Appy CDS would be indicated. DISCUSSION: These 2 HCSRN sites designed Appy CDS to capture a population at risk for appendicitis and deliver CDS to that population while remaining locally relevant and adhering to organizational preferences. Despite different approaches to point-of-care CDS, the sites have identified similar cohorts with nearly identical background rates of appendicitis. NEXT STEPS: The full Appy CDS tool, providing personalized risk assessment and tailored recommendations, is undergoing evaluation as part of a pragmatic cluster randomized trial aiming to reduce reliance on advanced diagnostic imaging. The novel approaches to CDS we present could serve as the basis for future ED interventions. Ubiquity Press 2019-04-12 /pmc/articles/PMC6460497/ /pubmed/30993147 http://dx.doi.org/10.5334/egems.282 Text en Copyright: © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Empirical Research Ekstrom, Heidi L. Kharbanda, Elyse O. Ballard, Dustin W. Vinson, David R. Vazquez-Benitez, Gabriela Chettipally, Uli K. Dehmer, Steven P. Kunisetty, Gopikrishna Sharma, Rashmi Rauchwerger, Adina S. O’Connor, Patrick J. Kharbanda, Anupam B. Development of a Clinical Decision Support System for Pediatric Abdominal Pain in Emergency Department Settings Across Two Health Systems Within the HCSRN |
title | Development of a Clinical Decision Support System for Pediatric Abdominal Pain in Emergency Department Settings Across Two Health Systems Within the HCSRN |
title_full | Development of a Clinical Decision Support System for Pediatric Abdominal Pain in Emergency Department Settings Across Two Health Systems Within the HCSRN |
title_fullStr | Development of a Clinical Decision Support System for Pediatric Abdominal Pain in Emergency Department Settings Across Two Health Systems Within the HCSRN |
title_full_unstemmed | Development of a Clinical Decision Support System for Pediatric Abdominal Pain in Emergency Department Settings Across Two Health Systems Within the HCSRN |
title_short | Development of a Clinical Decision Support System for Pediatric Abdominal Pain in Emergency Department Settings Across Two Health Systems Within the HCSRN |
title_sort | development of a clinical decision support system for pediatric abdominal pain in emergency department settings across two health systems within the hcsrn |
topic | Empirical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460497/ https://www.ncbi.nlm.nih.gov/pubmed/30993147 http://dx.doi.org/10.5334/egems.282 |
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