Pharmacogenomic Clinical Decision Support: A Scoping Review. [Review]
Citation: Clinical Pharmacology & Therapeutics. 2022 Jul 15PMID: 35838358Department: MedStar Health | PharmacogenomicsForm of publication: Journal ArticleMedline article type(s): Journal Article | ReviewSubject headings: IN PROCESS -- NOT YET INDEXEDYear: 2022Local holdings: Available online from MWHC library: 1996 - 2006, Available in print through MWHC library: 1999 - 2006ISSN:- 0009-9236
- Smith, D Max:
- https://orcid.org/0000-0003-3667-2936
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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Journal Article | MedStar Authors Catalog | Article | 35838358 | Available | 35838358 |
Available online from MWHC library: 1996 - 2006, Available in print through MWHC library: 1999 - 2006
Clinical decision support (CDS) is often cited as an essential part of pharmacogenomics (PGx) implementations. A multitude of strategies are available; however, it is unclear which strategies are effective and which metrics are used to quantify clinical utility. The objective of this scoping review was to aggregate previous studies into a cohesive depiction of the current state of PGx CDS implementations and identify areas for future research on PGx CDS. Articles were included if they (i) described electronic CDS tools for PGx and (ii) reported metrics related to PGx CDS. Twenty of 3,449 articles were included and provided data on PGx CDS metrics from 15 institutions, with 93% of programs located at academic medical centers. The most common tools in CDS implementations were interruptive post-test alerts. Metrics for clinical response and alert response ranged from 12-73% and 21-98%, respectively. Few data were found on changes in metrics over time and measures that drove the evolution of CDS systems. Relatively few data were available regarding support of optimal approaches for PGx CDS. Post-test alerts were the most widely studied approach, and their effectiveness varied greatly. Further research on the usability, effectiveness, and optimization of CDS tools is needed. Copyright © 2022 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.
English