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Detection of Drug-Related Problems through a Clinical Decision Support System Used by a Clinical Pharmacy Team.
- Source :
-
Healthcare (Basel, Switzerland) [Healthcare (Basel)] 2023 Mar 11; Vol. 11 (6). Date of Electronic Publication: 2023 Mar 11. - Publication Year :
- 2023
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Abstract
- 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.
Details
- Language :
- English
- ISSN :
- 2227-9032
- Volume :
- 11
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Healthcare (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 36981484
- Full Text :
- https://doi.org/10.3390/healthcare11060827