Monitoring overdispersed process in clinical laboratories using control charts

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1. Verfasser: José I. Valdés-Manuel
Format: Artículo científico
Sprache:en
Veröffentlicht: Universidad Nacional de Colombia 2022
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author José I. Valdés-Manuel
author_facet José I. Valdés-Manuel
contents Monitoring overdispersed process in clinical laboratories using control charts José I. Valdés-Manuel Juan M. Cogollo-Flórez Ingeniería statistical engineering control charts improvement Clinical process monitoring overdispersed data analysis Overdispersion is a phenomenon that generally occurs in the analysis of large sample sizes. In discrete data analysis, it refers to the presence of a variation higher than that implied by a reference Binomial or Poisson distributions. The proportion of nonconforming units in clinical laboratories presents high variability and, generally, overdispersion. Therefore, it is required to analyze the most appropriate control charts that overcome the limitations of traditional control charts to deal with overdispersed data. This paper performs an analysis of monitoring overdispersed process in clinical laboratories using control charts. The methodology consists of four steps: (i) Determination of the interest variable, (ii) Diagnosis of data overdispersion, (iii) Elaboration of control charts, and (iv) Analysis of results. The results show that the methodology can quantitatively determine the degree of data overdispersion and select the most appropriate control chart for monitoring the process. 2022 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49677393003 https://www.redalyc.org/journal/496/49677393003/ https://www.redalyc.org/journal/496/49677393003/html/ https://www.redalyc.org/journal/496/49677393003/49677393003.epub https://www.redalyc.org/journal/496/49677393003/movil 10.15446/dyna.v89n224.103666 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.224 Vol.89
format Artículo científico
id redalyc_49677393003
language en
publishDate 2022
publisher Universidad Nacional de Colombia
spellingShingle Monitoring overdispersed process in clinical laboratories using control charts
José I. Valdés-Manuel
Ingeniería
statistical engineering
control charts improvement
Clinical process monitoring
overdispersed data analysis
Monitoring overdispersed process in clinical laboratories using control charts José I. Valdés-Manuel Juan M. Cogollo-Flórez Ingeniería statistical engineering control charts improvement Clinical process monitoring overdispersed data analysis Overdispersion is a phenomenon that generally occurs in the analysis of large sample sizes. In discrete data analysis, it refers to the presence of a variation higher than that implied by a reference Binomial or Poisson distributions. The proportion of nonconforming units in clinical laboratories presents high variability and, generally, overdispersion. Therefore, it is required to analyze the most appropriate control charts that overcome the limitations of traditional control charts to deal with overdispersed data. This paper performs an analysis of monitoring overdispersed process in clinical laboratories using control charts. The methodology consists of four steps: (i) Determination of the interest variable, (ii) Diagnosis of data overdispersion, (iii) Elaboration of control charts, and (iv) Analysis of results. The results show that the methodology can quantitatively determine the degree of data overdispersion and select the most appropriate control chart for monitoring the process. 2022 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49677393003 https://www.redalyc.org/journal/496/49677393003/ https://www.redalyc.org/journal/496/49677393003/html/ https://www.redalyc.org/journal/496/49677393003/49677393003.epub https://www.redalyc.org/journal/496/49677393003/movil 10.15446/dyna.v89n224.103666 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.224 Vol.89
title Monitoring overdispersed process in clinical laboratories using control charts
topic Ingeniería
statistical engineering
control charts improvement
Clinical process monitoring
overdispersed data analysis
url https://www.redalyc.org/articulo.oa?id=49677393003
https://www.redalyc.org/journal/496/49677393003/
https://www.redalyc.org/journal/496/49677393003/html/
https://www.redalyc.org/journal/496/49677393003/49677393003.epub
https://www.redalyc.org/journal/496/49677393003/movil