Authors
Brian Murray
Published in
Critical care clinics. Volume 43. Issue 1. Pages 81-98. Epub Aug 26, 2026.
Abstract
This narrative review examines the evolving role of prediction analytics in comprehensive medication management for critically ill patients. Intensive care unit pharmacotherapy is challenged by medication complexity, physiologic instability, heterogeneous treatment response, and continuous data streams. Predictive systems may support proactive medication management by identifying medication-related harm, therapeutic failure, optimization opportunities, and pharmacist workload earlier in the patient trajectory. The review discusses medication-informed prediction models, prescriptive analytics, workload-aware critical care pharmacist allocation, and potential future applications. Implementation requires actionable predictions, workflow integration, clinician oversight, and attention to equity, safety, and model credibility.
PMID:
43003546
Bibliographic data and abstract were imported from PubMed on 10 Nov 2026.
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