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Failure mode and effect analysis (FMEA) to identify and mitigate failures in a hospital rapid response system (RRS)

We performed FMEA on the existing RRS with the help of routine users of the RRS who acted as subject matter experts and evaluated the failures for their criticality using the Risk Priority Number approach based on their experience of the RRS. The FMEA found 35 potential failure modes and 101 failure...

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Detalles Bibliográficos
Autores principales: Ullah, Ehsan, Baig, Mirza Mansoor, GholamHosseini, Hamid, Lu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857483/
https://www.ncbi.nlm.nih.gov/pubmed/35243066
http://dx.doi.org/10.1016/j.heliyon.2022.e08944
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author Ullah, Ehsan
Baig, Mirza Mansoor
GholamHosseini, Hamid
Lu, Jun
author_facet Ullah, Ehsan
Baig, Mirza Mansoor
GholamHosseini, Hamid
Lu, Jun
author_sort Ullah, Ehsan
collection PubMed
description We performed FMEA on the existing RRS with the help of routine users of the RRS who acted as subject matter experts and evaluated the failures for their criticality using the Risk Priority Number approach based on their experience of the RRS. The FMEA found 35 potential failure modes and 101 failure mode effects across 13 process steps of the RRS. The afferent limb of RRS was found to be more prone to these failures (62, 61.4%) than the efferent limb of the RRS (39, 38.6%). Modification of calling criteria (12, 11.9%) and calculation of New Zealand Early Warning Scores (NZEWS) calculation (11, 10.9%) steps were found to potentially give rise to the highest number of these failures. Causes of these failures include human error and related factors (35, 34.7%), staff workload/staffing levels (30, 29.7%) and limitations due to paper-based charts and organisational factors (n = 30, 29.7%). The demonstrated electronic system was found to potentially eliminate or reduce the likelihood of 71 (70.2%) failures. The failures not eliminated by the electronic RRS require targeted corrective measures including scenario-based training and education, and revised calling criteria to include triggers for hypothermia and high systolic blood pressure.
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spelling pubmed-88574832022-03-02 Failure mode and effect analysis (FMEA) to identify and mitigate failures in a hospital rapid response system (RRS) Ullah, Ehsan Baig, Mirza Mansoor GholamHosseini, Hamid Lu, Jun Heliyon Research Article We performed FMEA on the existing RRS with the help of routine users of the RRS who acted as subject matter experts and evaluated the failures for their criticality using the Risk Priority Number approach based on their experience of the RRS. The FMEA found 35 potential failure modes and 101 failure mode effects across 13 process steps of the RRS. The afferent limb of RRS was found to be more prone to these failures (62, 61.4%) than the efferent limb of the RRS (39, 38.6%). Modification of calling criteria (12, 11.9%) and calculation of New Zealand Early Warning Scores (NZEWS) calculation (11, 10.9%) steps were found to potentially give rise to the highest number of these failures. Causes of these failures include human error and related factors (35, 34.7%), staff workload/staffing levels (30, 29.7%) and limitations due to paper-based charts and organisational factors (n = 30, 29.7%). The demonstrated electronic system was found to potentially eliminate or reduce the likelihood of 71 (70.2%) failures. The failures not eliminated by the electronic RRS require targeted corrective measures including scenario-based training and education, and revised calling criteria to include triggers for hypothermia and high systolic blood pressure. Elsevier 2022-02-11 /pmc/articles/PMC8857483/ /pubmed/35243066 http://dx.doi.org/10.1016/j.heliyon.2022.e08944 Text en © 2022 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Ullah, Ehsan
Baig, Mirza Mansoor
GholamHosseini, Hamid
Lu, Jun
Failure mode and effect analysis (FMEA) to identify and mitigate failures in a hospital rapid response system (RRS)
title Failure mode and effect analysis (FMEA) to identify and mitigate failures in a hospital rapid response system (RRS)
title_full Failure mode and effect analysis (FMEA) to identify and mitigate failures in a hospital rapid response system (RRS)
title_fullStr Failure mode and effect analysis (FMEA) to identify and mitigate failures in a hospital rapid response system (RRS)
title_full_unstemmed Failure mode and effect analysis (FMEA) to identify and mitigate failures in a hospital rapid response system (RRS)
title_short Failure mode and effect analysis (FMEA) to identify and mitigate failures in a hospital rapid response system (RRS)
title_sort failure mode and effect analysis (fmea) to identify and mitigate failures in a hospital rapid response system (rrs)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857483/
https://www.ncbi.nlm.nih.gov/pubmed/35243066
http://dx.doi.org/10.1016/j.heliyon.2022.e08944
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