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

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dc.contributor.author Ullah, Ehsan
dc.contributor.author Baig, Mirza Mansoor
dc.contributor.author GholamHosseini, Hamid
dc.contributor.author Lu, Jun
dc.coverage.spatial England
dc.date.accessioned 2023-02-14T02:22:20Z
dc.date.available 2023-02-14T02:22:20Z
dc.date.issued 2022-02
dc.identifier.citation (2022). Heliyon, 8(2), e08944-.
dc.identifier.issn 2405-8440
dc.identifier.uri https://hdl.handle.net/2292/62832
dc.description.abstract 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.
dc.format.medium Electronic-eCollection
dc.language eng
dc.publisher Elsevier
dc.relation.ispartofseries Heliyon
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Clinical deterioration
dc.subject Early warning score
dc.subject Failure modes and effects analysis
dc.subject Rapid response system
dc.subject Vital signs
dc.title Failure mode and effect analysis (FMEA) to identify and mitigate failures in a hospital rapid response system (RRS).
dc.type Journal Article
dc.identifier.doi 10.1016/j.heliyon.2022.e08944
pubs.issue 2
pubs.begin-page e08944
pubs.volume 8
dc.date.updated 2023-01-21T22:42:40Z
dc.rights.holder Copyright: The authors en
dc.identifier.pmid 35243066 (pubmed)
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/35243066
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype research-article
pubs.subtype Journal Article
pubs.elements-id 945828
pubs.org-id Bioengineering Institute
dc.identifier.eissn 2405-8440
dc.identifier.pii S2405-8440(22)00232-8
pubs.number e08944
pubs.record-created-at-source-date 2023-01-22
pubs.online-publication-date 2022-02-11


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