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Detection of Drug-Related Problems through a Clinical Decision Support System Used by a Clinical Pharmacy Team

Clinical decision support systems (CDSSs) are intended to detect drug-related problems in real time and might be of value in healthcare institutions with a clinical pharmacy team. The objective was to report the detection of drug-related problems through a CDSS used by an existing clinical pharmacy...

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Autores principales: Robert, Laurine, Cuvelier, Elodie, Rousselière, Chloé, Gautier, Sophie, Odou, Pascal, Beuscart, Jean-Baptiste, Décaudin, Bertrand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048130/
https://www.ncbi.nlm.nih.gov/pubmed/36981484
http://dx.doi.org/10.3390/healthcare11060827
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author Robert, Laurine
Cuvelier, Elodie
Rousselière, Chloé
Gautier, Sophie
Odou, Pascal
Beuscart, Jean-Baptiste
Décaudin, Bertrand
author_facet Robert, Laurine
Cuvelier, Elodie
Rousselière, Chloé
Gautier, Sophie
Odou, Pascal
Beuscart, Jean-Baptiste
Décaudin, Bertrand
author_sort Robert, Laurine
collection PubMed
description Clinical decision support systems (CDSSs) are intended to detect drug-related problems in real time and might be of value in healthcare institutions with a clinical pharmacy team. The objective was to report the detection of drug-related problems through a CDSS used by an existing clinical pharmacy team over 22 months. It was a retrospective single-center study. A CDSS was integrated in the clinical pharmacy team in July 2019. The investigating clinical pharmacists evaluated the pharmaceutical relevance and physician acceptance rates for critical alerts (i.e., alerts for drug-related problems arising during on-call periods) and noncritical alerts (i.e., prevention alerts arising during the pharmacist’s normal work day) from the CDSS. Of the 3612 alerts triggered, 1554 (43.0%) were critical, and 594 of these 1554 (38.2%) prompted a pharmacist intervention. Of the 2058 (57.0%) noncritical alerts, 475 of these 2058 (23.1%) prompted a pharmacist intervention. About two-thirds of the total pharmacist interventions (PI) were accepted by physicians; the proportion was 71.2% for critical alerts (i.e., 19 critical alerts per month vs. 12.5 noncritical alerts per month). Some alerts were pharmaceutically irrelevant—mainly due to poor performance by the CDSS. Our results suggest that a CDSS is a useful decision-support tool for a hospital pharmacist’s clinical practice. It can help to prioritize drug-related problems by distinguishing critical and noncritical alerts. However, building an appropriate organizational structure around the CDSS is important for correct operation.
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spelling pubmed-100481302023-03-29 Detection of Drug-Related Problems through a Clinical Decision Support System Used by a Clinical Pharmacy Team Robert, Laurine Cuvelier, Elodie Rousselière, Chloé Gautier, Sophie Odou, Pascal Beuscart, Jean-Baptiste Décaudin, Bertrand Healthcare (Basel) Article Clinical decision support systems (CDSSs) are intended to detect drug-related problems in real time and might be of value in healthcare institutions with a clinical pharmacy team. The objective was to report the detection of drug-related problems through a CDSS used by an existing clinical pharmacy team over 22 months. It was a retrospective single-center study. A CDSS was integrated in the clinical pharmacy team in July 2019. The investigating clinical pharmacists evaluated the pharmaceutical relevance and physician acceptance rates for critical alerts (i.e., alerts for drug-related problems arising during on-call periods) and noncritical alerts (i.e., prevention alerts arising during the pharmacist’s normal work day) from the CDSS. Of the 3612 alerts triggered, 1554 (43.0%) were critical, and 594 of these 1554 (38.2%) prompted a pharmacist intervention. Of the 2058 (57.0%) noncritical alerts, 475 of these 2058 (23.1%) prompted a pharmacist intervention. About two-thirds of the total pharmacist interventions (PI) were accepted by physicians; the proportion was 71.2% for critical alerts (i.e., 19 critical alerts per month vs. 12.5 noncritical alerts per month). Some alerts were pharmaceutically irrelevant—mainly due to poor performance by the CDSS. Our results suggest that a CDSS is a useful decision-support tool for a hospital pharmacist’s clinical practice. It can help to prioritize drug-related problems by distinguishing critical and noncritical alerts. However, building an appropriate organizational structure around the CDSS is important for correct operation. MDPI 2023-03-11 /pmc/articles/PMC10048130/ /pubmed/36981484 http://dx.doi.org/10.3390/healthcare11060827 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Robert, Laurine
Cuvelier, Elodie
Rousselière, Chloé
Gautier, Sophie
Odou, Pascal
Beuscart, Jean-Baptiste
Décaudin, Bertrand
Detection of Drug-Related Problems through a Clinical Decision Support System Used by a Clinical Pharmacy Team
title Detection of Drug-Related Problems through a Clinical Decision Support System Used by a Clinical Pharmacy Team
title_full Detection of Drug-Related Problems through a Clinical Decision Support System Used by a Clinical Pharmacy Team
title_fullStr Detection of Drug-Related Problems through a Clinical Decision Support System Used by a Clinical Pharmacy Team
title_full_unstemmed Detection of Drug-Related Problems through a Clinical Decision Support System Used by a Clinical Pharmacy Team
title_short Detection of Drug-Related Problems through a Clinical Decision Support System Used by a Clinical Pharmacy Team
title_sort detection of drug-related problems through a clinical decision support system used by a clinical pharmacy team
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048130/
https://www.ncbi.nlm.nih.gov/pubmed/36981484
http://dx.doi.org/10.3390/healthcare11060827
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