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Review Open access Sep 2026

Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration.

BACKGROUND Early warning score clinical decision support (CDS) systems identify patients at risk of clinical deterioration, but do not provide insights on the underlying cause. Machine learning (ML) models may address this limitation, but how to convey such outputs to clinicians remains unclear. This study elicited cli...

Oliver T. Nguyen, Douglas A. Wiegmann, James Haddad et al. · 0 citations
Open access Aug 2026

When nurses are held accountable for AI-driven clinical decisions, they must be engaged early and meaningfully

A structured debate examined whether nurses should be held liable for AI-assisted clinical decisions and meaningful nurse engagement throughout the AI lifecycle and nursing-specific considerations in AI legislation and regulatory frameworks were examined.

M. Reading Turchioe, A. Wieben, Carolyn Sun et al. · 0 citations

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