Scenario: Silent BPA triggers pharmacy team notification for CPIC Level A medications - pharmacist triage reduces provider burden while ensuring expert review
Key Concept: When a clinician prescribes a CPIC Level A medication for a patient with relevant pharmacogenomics results, TWO alerts fire in parallel: (1) Generic BPA displays pharmacogenomics recommendation to the ordering provider, and (2) Silent BPA triggers an inbasket message to the pharmacy team for expert triage and follow-up.
CPIC Level A medications have the highest evidence level for pharmacogenomics guidance. Examples: warfarin + CYP2C9/VKORC1, clopidogrel + CYP2C19, simvastatin + SLCO1B1.
Provider orders CPIC Level A medication (e.g., clopidogrel) - workflow uninterrupted
Generic BPA from Approach 1 fires, displaying pharmacogenomics recommendation to ordering provider
Silent BPA triggers inbasket message to pharmacy team for triage and follow-up
Pharmacist reviews alert, assesses severity, contacts provider only if medication change needed
Provider and pharmacist collaborate on final medication decision with full pharmacogenomics context
Configurable by Drug/Gene Pairs: Health system defines which CPIC Level A pathways trigger pharmacy team alerts. Start with high-risk medications (warfarin, clopidogrel) and expand over time.
Pharmacy team filters alerts before provider involvement - eliminates alert fatigue at point of prescribing
Pharmacists review complex pharmacogenomics recommendations, patient history, and alternatives before contacting provider
Providers receive expert recommendations only when medication change is truly indicated - higher trust, lower override rates
Pharmacist-provider collaboration improves recommendation quality and provider acceptance
Dedicated pharmacist support handles multiple alerts efficiently with predictable resource needs
In Basket templates only, no complex BPA logic - low maintenance overhead
This approach solves the provider alert fatigue problem while maintaining clinical safety:
Comparison to direct-to-provider alerts (Approach 1): This approach filters complex pharmacogenomics recommendations through pharmacy expertise before provider contact. Providers receive actionable guidance instead of raw alerts, dramatically improving acceptance and reducing workflow disruption.