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Validation of an automated adenoma detection rate calculating system for quality improvement of colonoscopy
PURPOSE: This study aimed to validate an automated calculating system developed for determining the adenoma detection rate (ADR). METHODS: To calculate the automated ADR, the data linking processes were as follows: (1) matching the selected colonoscopy results with the pathological results, (2) matc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Surgical Society
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6893215/ https://www.ncbi.nlm.nih.gov/pubmed/31824887 http://dx.doi.org/10.4174/astr.2019.97.6.319 |
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author | Sohn, Dae Kyung Shin, Il Won Yeon, Jeonghwa Yoo, Jin Kim, Byung Chang Kim, Bun Hong, Chang Won Han, Kyung Su |
author_facet | Sohn, Dae Kyung Shin, Il Won Yeon, Jeonghwa Yoo, Jin Kim, Byung Chang Kim, Bun Hong, Chang Won Han, Kyung Su |
author_sort | Sohn, Dae Kyung |
collection | PubMed |
description | PURPOSE: This study aimed to validate an automated calculating system developed for determining the adenoma detection rate (ADR). METHODS: To calculate the automated ADR, the data linking processes were as follows: (1) matching the selected colonoscopy results with the pathological results, (2) matching the polyp number from colonoscopy with that from pathology and confirming the histopathological results of each colonic polyp, and (3) confirming the histopathological results, especially the adenoma status of each colonic polyp. To verify the accuracy of the automated ADR calculating system, we manually calculated the ADR for 3 months through medical record review. Accuracy was calculated by measuring the error rate for each value. The cause of error was analyzed by additional order and chart review. RESULTS: After excluding 318 cases, 2,543 patients (1,351 men and 1,192 women; median age, 57.9 years) who underwent colonoscopy were included in this study. When the automated calculating system was used, polyps were found in 1,336 cases (52.6%) and adenomas were found in 1,003 cases (39.4%). When the manual calculating system was used, polyps were found in 1,327 cases (52.2%) and adenomas were found in 1,003 cases (39.4%). The accuracies of the polyp detection rate and ADR according to the automated calculating system were 99.3% and 100%, respectively. CONCLUSION: We developed a system to automatically calculate the ADR by extracting hospital electronic medical record results and verified that it provided satisfactory results. It may help to improve colonoscopy quality. |
format | Online Article Text |
id | pubmed-6893215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Korean Surgical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-68932152019-12-10 Validation of an automated adenoma detection rate calculating system for quality improvement of colonoscopy Sohn, Dae Kyung Shin, Il Won Yeon, Jeonghwa Yoo, Jin Kim, Byung Chang Kim, Bun Hong, Chang Won Han, Kyung Su Ann Surg Treat Res Original Article PURPOSE: This study aimed to validate an automated calculating system developed for determining the adenoma detection rate (ADR). METHODS: To calculate the automated ADR, the data linking processes were as follows: (1) matching the selected colonoscopy results with the pathological results, (2) matching the polyp number from colonoscopy with that from pathology and confirming the histopathological results of each colonic polyp, and (3) confirming the histopathological results, especially the adenoma status of each colonic polyp. To verify the accuracy of the automated ADR calculating system, we manually calculated the ADR for 3 months through medical record review. Accuracy was calculated by measuring the error rate for each value. The cause of error was analyzed by additional order and chart review. RESULTS: After excluding 318 cases, 2,543 patients (1,351 men and 1,192 women; median age, 57.9 years) who underwent colonoscopy were included in this study. When the automated calculating system was used, polyps were found in 1,336 cases (52.6%) and adenomas were found in 1,003 cases (39.4%). When the manual calculating system was used, polyps were found in 1,327 cases (52.2%) and adenomas were found in 1,003 cases (39.4%). The accuracies of the polyp detection rate and ADR according to the automated calculating system were 99.3% and 100%, respectively. CONCLUSION: We developed a system to automatically calculate the ADR by extracting hospital electronic medical record results and verified that it provided satisfactory results. It may help to improve colonoscopy quality. The Korean Surgical Society 2019-12 2019-12-02 /pmc/articles/PMC6893215/ /pubmed/31824887 http://dx.doi.org/10.4174/astr.2019.97.6.319 Text en Copyright © 2019, the Korean Surgical Society http://creativecommons.org/licenses/by-nc/4.0/ Annals of Surgical Treatment and Research is an Open Access Journal. All articles are distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Sohn, Dae Kyung Shin, Il Won Yeon, Jeonghwa Yoo, Jin Kim, Byung Chang Kim, Bun Hong, Chang Won Han, Kyung Su Validation of an automated adenoma detection rate calculating system for quality improvement of colonoscopy |
title | Validation of an automated adenoma detection rate calculating system for quality improvement of colonoscopy |
title_full | Validation of an automated adenoma detection rate calculating system for quality improvement of colonoscopy |
title_fullStr | Validation of an automated adenoma detection rate calculating system for quality improvement of colonoscopy |
title_full_unstemmed | Validation of an automated adenoma detection rate calculating system for quality improvement of colonoscopy |
title_short | Validation of an automated adenoma detection rate calculating system for quality improvement of colonoscopy |
title_sort | validation of an automated adenoma detection rate calculating system for quality improvement of colonoscopy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6893215/ https://www.ncbi.nlm.nih.gov/pubmed/31824887 http://dx.doi.org/10.4174/astr.2019.97.6.319 |
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