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The Impact of Automated Electronic Surveillance of Electronic Medical Records on Pediatric Inpatient Care
Purpose To assess the impact of the automated surveillance of the electronic medical record process on clinical interventions among hospitalized children at a tertiary care pediatric center. Methods A retrospective chart review of the alerts triggered for central line-associated blood stream infecti...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278995/ https://www.ncbi.nlm.nih.gov/pubmed/30533330 http://dx.doi.org/10.7759/cureus.3395 |
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author | Emmanuel, Jais Torres, Adalberto |
author_facet | Emmanuel, Jais Torres, Adalberto |
author_sort | Emmanuel, Jais |
collection | PubMed |
description | Purpose To assess the impact of the automated surveillance of the electronic medical record process on clinical interventions among hospitalized children at a tertiary care pediatric center. Methods A retrospective chart review of the alerts triggered for central line-associated blood stream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), neonatal sepsis, or clinical deterioration through elevated pediatric early warning scores (PEWS) by automated electronic surveillance of the hospital electronic medical record (EMR) over a five-month period among hospitalized children. Interventions instituted in response to the alerts were reviewed from the hospital EMR. Fisher’s exact test was performed to detect any significant difference in the proportion of interventions performed for alerts triggered between groups. Results A total of 244 alerts were collected (27 CAUTI, 55 CLABSI, 10 neonatal sepsis, and 152 PEWS alerts). A significant difference in the proportion of interventions instituted after neonatal sepsis and PEWS alerts (9/162, 5.6%) as compared to CLABSI and CAUTI alerts (20/82, 24.4%) was observed (p<0.001; Odds ratio (95% CI): 0.182 (0.079-0.422)). Neonatal sepsis triggered the least number of alerts (10/244, 4.1%) and proportionately fewer interventions than the other clinical alerts. Conclusions Alerts for potential device-associated infections resulted in more clinical intervention than less-specific alerts. Neonatal sepsis alerts resulted in minimal interventions undertaken in response to the alert. Identifying and focusing on alerts benefitting the patient can serve as a better allocation of time and resources. Future studies should explore which newer alerts and their accompanying interventions improve patient outcomes. |
format | Online Article Text |
id | pubmed-6278995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-62789952018-12-07 The Impact of Automated Electronic Surveillance of Electronic Medical Records on Pediatric Inpatient Care Emmanuel, Jais Torres, Adalberto Cureus Pediatrics Purpose To assess the impact of the automated surveillance of the electronic medical record process on clinical interventions among hospitalized children at a tertiary care pediatric center. Methods A retrospective chart review of the alerts triggered for central line-associated blood stream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), neonatal sepsis, or clinical deterioration through elevated pediatric early warning scores (PEWS) by automated electronic surveillance of the hospital electronic medical record (EMR) over a five-month period among hospitalized children. Interventions instituted in response to the alerts were reviewed from the hospital EMR. Fisher’s exact test was performed to detect any significant difference in the proportion of interventions performed for alerts triggered between groups. Results A total of 244 alerts were collected (27 CAUTI, 55 CLABSI, 10 neonatal sepsis, and 152 PEWS alerts). A significant difference in the proportion of interventions instituted after neonatal sepsis and PEWS alerts (9/162, 5.6%) as compared to CLABSI and CAUTI alerts (20/82, 24.4%) was observed (p<0.001; Odds ratio (95% CI): 0.182 (0.079-0.422)). Neonatal sepsis triggered the least number of alerts (10/244, 4.1%) and proportionately fewer interventions than the other clinical alerts. Conclusions Alerts for potential device-associated infections resulted in more clinical intervention than less-specific alerts. Neonatal sepsis alerts resulted in minimal interventions undertaken in response to the alert. Identifying and focusing on alerts benefitting the patient can serve as a better allocation of time and resources. Future studies should explore which newer alerts and their accompanying interventions improve patient outcomes. Cureus 2018-10-01 /pmc/articles/PMC6278995/ /pubmed/30533330 http://dx.doi.org/10.7759/cureus.3395 Text en Copyright © 2018, Emmanuel et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Pediatrics Emmanuel, Jais Torres, Adalberto The Impact of Automated Electronic Surveillance of Electronic Medical Records on Pediatric Inpatient Care |
title | The Impact of Automated Electronic Surveillance of Electronic Medical Records on Pediatric Inpatient Care |
title_full | The Impact of Automated Electronic Surveillance of Electronic Medical Records on Pediatric Inpatient Care |
title_fullStr | The Impact of Automated Electronic Surveillance of Electronic Medical Records on Pediatric Inpatient Care |
title_full_unstemmed | The Impact of Automated Electronic Surveillance of Electronic Medical Records on Pediatric Inpatient Care |
title_short | The Impact of Automated Electronic Surveillance of Electronic Medical Records on Pediatric Inpatient Care |
title_sort | impact of automated electronic surveillance of electronic medical records on pediatric inpatient care |
topic | Pediatrics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278995/ https://www.ncbi.nlm.nih.gov/pubmed/30533330 http://dx.doi.org/10.7759/cureus.3395 |
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