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Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals

OBJECTIVES: To determine the frequency of clinical decision support system (CDSS) medication-related alerts generated, accepted, or overridden, to assess appropriateness of alert display and overrides, and to characterise the documentation of clinician justification for these overrides in an academi...

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Autores principales: Alsaidan, Jamilah Ahmed, Portlock, Jane, Ata, Sondus I., Aljadhey, Hisham S., Franklin, Bryony Dean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012024/
https://www.ncbi.nlm.nih.gov/pubmed/35428282
http://dx.doi.org/10.1186/s12911-022-01838-1
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author Alsaidan, Jamilah Ahmed
Portlock, Jane
Ata, Sondus I.
Aljadhey, Hisham S.
Franklin, Bryony Dean
author_facet Alsaidan, Jamilah Ahmed
Portlock, Jane
Ata, Sondus I.
Aljadhey, Hisham S.
Franklin, Bryony Dean
author_sort Alsaidan, Jamilah Ahmed
collection PubMed
description OBJECTIVES: To determine the frequency of clinical decision support system (CDSS) medication-related alerts generated, accepted, or overridden, to assess appropriateness of alert display and overrides, and to characterise the documentation of clinician justification for these overrides in an academic medical centre in Saudi Arabia. MATERIALS AND METHODS: System-generated CDSS reports for the period June 2015 to December 2017 were retrospectively reviewed and analysed. Alerts were classified into different types, and rates of alert overrides calculated as percentages of all generated alerts. A subset of 307 overridden alerts was assessed for appropriateness of display and override by two clinical pharmacists. Physician documentation of reasons for overriding alerts were categorised. RESULTS: A total of 4,446,730 medication-related alerts were generated from both inpatient and outpatient settings, and 4,231,743 (95.2%) were overridden. The most common alert type was ‘duplicate drug’, accounting for 3,549,736 (79.8%) of alerts. Of 307 alerts assessed for appropriateness, 246 (80%) were judged to be appropriately displayed and 244 (79%) were overridden appropriately. New drug allergy and drug allergy alerts had the highest percentage of being judged as inappropriately overridden. For 1,594,313 alerts (37.7%), ‘no overridden reason selected’ was chosen from the drop-down menu. CONCLUSIONS: The alert generation and override rate were higher than reported previously in the literature. The small sample size of 307 alerts assessed for appropriateness of alert display and override is a potential limitation. Revision of the CDSS rules for alerts (focusing on specificity and relevance for the local context) is now recommended. Future research should prospectively assess providers’ perspectives, and determine patient harm associated with overridden alerts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01838-1.
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spelling pubmed-90120242022-04-16 Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals Alsaidan, Jamilah Ahmed Portlock, Jane Ata, Sondus I. Aljadhey, Hisham S. Franklin, Bryony Dean BMC Med Inform Decis Mak Research OBJECTIVES: To determine the frequency of clinical decision support system (CDSS) medication-related alerts generated, accepted, or overridden, to assess appropriateness of alert display and overrides, and to characterise the documentation of clinician justification for these overrides in an academic medical centre in Saudi Arabia. MATERIALS AND METHODS: System-generated CDSS reports for the period June 2015 to December 2017 were retrospectively reviewed and analysed. Alerts were classified into different types, and rates of alert overrides calculated as percentages of all generated alerts. A subset of 307 overridden alerts was assessed for appropriateness of display and override by two clinical pharmacists. Physician documentation of reasons for overriding alerts were categorised. RESULTS: A total of 4,446,730 medication-related alerts were generated from both inpatient and outpatient settings, and 4,231,743 (95.2%) were overridden. The most common alert type was ‘duplicate drug’, accounting for 3,549,736 (79.8%) of alerts. Of 307 alerts assessed for appropriateness, 246 (80%) were judged to be appropriately displayed and 244 (79%) were overridden appropriately. New drug allergy and drug allergy alerts had the highest percentage of being judged as inappropriately overridden. For 1,594,313 alerts (37.7%), ‘no overridden reason selected’ was chosen from the drop-down menu. CONCLUSIONS: The alert generation and override rate were higher than reported previously in the literature. The small sample size of 307 alerts assessed for appropriateness of alert display and override is a potential limitation. Revision of the CDSS rules for alerts (focusing on specificity and relevance for the local context) is now recommended. Future research should prospectively assess providers’ perspectives, and determine patient harm associated with overridden alerts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01838-1. BioMed Central 2022-04-15 /pmc/articles/PMC9012024/ /pubmed/35428282 http://dx.doi.org/10.1186/s12911-022-01838-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Alsaidan, Jamilah Ahmed
Portlock, Jane
Ata, Sondus I.
Aljadhey, Hisham S.
Franklin, Bryony Dean
Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals
title Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals
title_full Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals
title_fullStr Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals
title_full_unstemmed Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals
title_short Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals
title_sort retrospective descriptive assessment of clinical decision support medication-related alerts in two saudi arabian hospitals
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012024/
https://www.ncbi.nlm.nih.gov/pubmed/35428282
http://dx.doi.org/10.1186/s12911-022-01838-1
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