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Congruence rates for pharmacogenomic noninterruptive alerts
Sarah C Mills1, Amanda Massmann1,2
1Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA.
Pharmacogenomics
|July 12, 2023
Summary
Noninterruptive clinical decision support (CDS) alerts for pharmacogenomics (PGx) show high provider adherence. This study found an 89.8% congruence rate, suggesting noninterruptive alerts are effective for best practice adherence in PGx implementation.
Area of Science:
- Pharmacogenomics
- Clinical Decision Support Systems
- Health Informatics
Background:
- Pharmacogenomics (PGx) implementation into routine care requires effective clinical decision support (CDS).
- CDS alerts, including interruptive and noninterruptive types, guide healthcare providers.
- Evaluating provider behavior in response to noninterruptive alerts is crucial for optimizing PGx integration.
Purpose of the Study:
- To assess provider ordering behavior following the display of noninterruptive pharmacogenomics clinical decision support alerts.
- To determine the congruence rate between provider medication orders and CDS recommendations for noninterruptive alerts.
Main Methods:
- Retrospective manual chart review was performed.
- Data collected from the implementation of noninterruptive alerts to the analysis period.
- Congruence with CDS recommendations was evaluated for all displayed alerts.
Main Results:
- An overall congruence rate of 89.8% was observed for noninterruptive PGx CDS alerts.
- Metoclopramide-drug gene interactions generated the highest number of alerts analyzed (n=138).
- High congruence suggests noninterruptive alerts facilitate adherence to PGx best practices.
Conclusions:
- Noninterruptive alerts demonstrate a high rate of medication order congruence.
- This modality appears suitable for pharmacogenomics clinical decision support.
- Noninterruptive alerts may be an effective method for promoting best practice adherence in PGx.
Keywords:
CYP2C19CYP2C9CYP2D6clinical decision supportelectronic health recordsinlinenoninterruptivepharmacogeneticspharmacogenomicsprecision medicineMore Related Videos
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