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Emergency department visit volume variability

OBJECTIVE: One of the most important and basic variables in emergency department (ED) operations is patient visit volumes. This variable is usually predicted on the basis of the average ED patient visit volume over a certain period. However, ED patient visit variability is poorly understood. Therefo...

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Autores principales: Kang, Seung Woo, Park, Hyun Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Emergency Medicine 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052838/
https://www.ncbi.nlm.nih.gov/pubmed/27752589
http://dx.doi.org/10.15441/ceem.14.044
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author Kang, Seung Woo
Park, Hyun Soo
author_facet Kang, Seung Woo
Park, Hyun Soo
author_sort Kang, Seung Woo
collection PubMed
description OBJECTIVE: One of the most important and basic variables in emergency department (ED) operations is patient visit volumes. This variable is usually predicted on the basis of the average ED patient visit volume over a certain period. However, ED patient visit variability is poorly understood. Therefore, we evaluated ED patient visit variability in order to determine if the average can be used to operate EDs. METHODS: Nationwide ED patient visit data were from the standard emergency patient data of the National Emergency Department Information System. The data are transferred automatically by 141 EDs nationwide. The hourly ED visit volumes over 365 days were determined, and the variability was analyzed to evaluate the representativeness of the average. RESULTS: A total of 4,672,275 patient visits were collected in 2013. The numbers of daily ED patient visits were widely dispersed and positively skewed rather than symmetric and narrow with a normal distribution. CONCLUSION: The daily variability of ED visit is too large and it did not show normal distribution. The average visit volume does not adequately represent ED operation.
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spelling pubmed-50528382016-10-17 Emergency department visit volume variability Kang, Seung Woo Park, Hyun Soo Clin Exp Emerg Med Original Article OBJECTIVE: One of the most important and basic variables in emergency department (ED) operations is patient visit volumes. This variable is usually predicted on the basis of the average ED patient visit volume over a certain period. However, ED patient visit variability is poorly understood. Therefore, we evaluated ED patient visit variability in order to determine if the average can be used to operate EDs. METHODS: Nationwide ED patient visit data were from the standard emergency patient data of the National Emergency Department Information System. The data are transferred automatically by 141 EDs nationwide. The hourly ED visit volumes over 365 days were determined, and the variability was analyzed to evaluate the representativeness of the average. RESULTS: A total of 4,672,275 patient visits were collected in 2013. The numbers of daily ED patient visits were widely dispersed and positively skewed rather than symmetric and narrow with a normal distribution. CONCLUSION: The daily variability of ED visit is too large and it did not show normal distribution. The average visit volume does not adequately represent ED operation. The Korean Society of Emergency Medicine 2015-09-30 /pmc/articles/PMC5052838/ /pubmed/27752589 http://dx.doi.org/10.15441/ceem.14.044 Text en © 2015 The Korean Society of Emergency Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/).
spellingShingle Original Article
Kang, Seung Woo
Park, Hyun Soo
Emergency department visit volume variability
title Emergency department visit volume variability
title_full Emergency department visit volume variability
title_fullStr Emergency department visit volume variability
title_full_unstemmed Emergency department visit volume variability
title_short Emergency department visit volume variability
title_sort emergency department visit volume variability
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052838/
https://www.ncbi.nlm.nih.gov/pubmed/27752589
http://dx.doi.org/10.15441/ceem.14.044
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