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Classifying Safety Events Related to Diagnostic Imaging from a Safety Reporting System using a Human Factors Framework

PURPOSE: To measure diagnostic imaging safety events reported to an electronic safety reporting system (ESRS) and assess steps where they occurred within the diagnostic imaging workflow and contributing socio-technical factors. METHODS: We evaluated all ESRS safety reports related to diagnostic imag...

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Autores principales: Lacson, Ronilda, Cochon, Laila, Ip, Ivan, Desai, Sonali, Kachalia, Allen, Dennerlein, Jack, Benneyan, James, Khorasani, Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537148/
https://www.ncbi.nlm.nih.gov/pubmed/30528933
http://dx.doi.org/10.1016/j.jacr.2018.10.015
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author Lacson, Ronilda
Cochon, Laila
Ip, Ivan
Desai, Sonali
Kachalia, Allen
Dennerlein, Jack
Benneyan, James
Khorasani, Ramin
author_facet Lacson, Ronilda
Cochon, Laila
Ip, Ivan
Desai, Sonali
Kachalia, Allen
Dennerlein, Jack
Benneyan, James
Khorasani, Ramin
author_sort Lacson, Ronilda
collection PubMed
description PURPOSE: To measure diagnostic imaging safety events reported to an electronic safety reporting system (ESRS) and assess steps where they occurred within the diagnostic imaging workflow and contributing socio-technical factors. METHODS: We evaluated all ESRS safety reports related to diagnostic imaging during calendar 2015 at an academic medical center with 50,000 admissions, 950,000 ambulatory visits, and performing 680,000 diagnostic imaging studies annually. Each report was assigned a 0-4 harm score by the reporter; we classified scores of 2 (minor harm) to 4 (death) as “potential harm”. Two reviewers manually classified reports into steps involved in the diagnostic imaging chain and socio-technical factors per the Systems Engineering Initiative for Patient Safety (SEIPS) framework. Kappa measured inter-reviewer agreement on 10% of reports. The percentage of reports that could cause “potential harm” was compared for each step and socio-technical factor using chi-square analysis. RESULTS: Of 11,570 safety reports submitted in 2015, 854 (7%) were related to diagnostic imaging. Although the most common step was Imaging Procedure (54% of reports), potential harm occurred more in Report Communication (Odds Ratio=2.36, p=0.05). Person factors most commonly contributed to safety reports (71%). Potential harm occurred more in safety reports that were related to Task compared to Person factors (OR=5.03, p<0.0001). Kappa was 0.79. CONCLUSION: Safety events were related to diagnostic imaging in 7% of reports and potential harm occurred primarily during Imaging Procedure and Report Communication. Safety events were attributed to multifactorial socio-technical factors. Further work is necessary to decrease safety events related to diagnostic imaging.
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spelling pubmed-75371482020-10-06 Classifying Safety Events Related to Diagnostic Imaging from a Safety Reporting System using a Human Factors Framework Lacson, Ronilda Cochon, Laila Ip, Ivan Desai, Sonali Kachalia, Allen Dennerlein, Jack Benneyan, James Khorasani, Ramin J Am Coll Radiol Article PURPOSE: To measure diagnostic imaging safety events reported to an electronic safety reporting system (ESRS) and assess steps where they occurred within the diagnostic imaging workflow and contributing socio-technical factors. METHODS: We evaluated all ESRS safety reports related to diagnostic imaging during calendar 2015 at an academic medical center with 50,000 admissions, 950,000 ambulatory visits, and performing 680,000 diagnostic imaging studies annually. Each report was assigned a 0-4 harm score by the reporter; we classified scores of 2 (minor harm) to 4 (death) as “potential harm”. Two reviewers manually classified reports into steps involved in the diagnostic imaging chain and socio-technical factors per the Systems Engineering Initiative for Patient Safety (SEIPS) framework. Kappa measured inter-reviewer agreement on 10% of reports. The percentage of reports that could cause “potential harm” was compared for each step and socio-technical factor using chi-square analysis. RESULTS: Of 11,570 safety reports submitted in 2015, 854 (7%) were related to diagnostic imaging. Although the most common step was Imaging Procedure (54% of reports), potential harm occurred more in Report Communication (Odds Ratio=2.36, p=0.05). Person factors most commonly contributed to safety reports (71%). Potential harm occurred more in safety reports that were related to Task compared to Person factors (OR=5.03, p<0.0001). Kappa was 0.79. CONCLUSION: Safety events were related to diagnostic imaging in 7% of reports and potential harm occurred primarily during Imaging Procedure and Report Communication. Safety events were attributed to multifactorial socio-technical factors. Further work is necessary to decrease safety events related to diagnostic imaging. 2018-12-07 2019-03 /pmc/articles/PMC7537148/ /pubmed/30528933 http://dx.doi.org/10.1016/j.jacr.2018.10.015 Text en This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Article
Lacson, Ronilda
Cochon, Laila
Ip, Ivan
Desai, Sonali
Kachalia, Allen
Dennerlein, Jack
Benneyan, James
Khorasani, Ramin
Classifying Safety Events Related to Diagnostic Imaging from a Safety Reporting System using a Human Factors Framework
title Classifying Safety Events Related to Diagnostic Imaging from a Safety Reporting System using a Human Factors Framework
title_full Classifying Safety Events Related to Diagnostic Imaging from a Safety Reporting System using a Human Factors Framework
title_fullStr Classifying Safety Events Related to Diagnostic Imaging from a Safety Reporting System using a Human Factors Framework
title_full_unstemmed Classifying Safety Events Related to Diagnostic Imaging from a Safety Reporting System using a Human Factors Framework
title_short Classifying Safety Events Related to Diagnostic Imaging from a Safety Reporting System using a Human Factors Framework
title_sort classifying safety events related to diagnostic imaging from a safety reporting system using a human factors framework
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537148/
https://www.ncbi.nlm.nih.gov/pubmed/30528933
http://dx.doi.org/10.1016/j.jacr.2018.10.015
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