Cognitive readiness of nurses regarding artificial intelligence predictions: understanding through the dual lens of verbatim and gist knowledge.

ABSTRACT:

Objectives

The expansion of artificial intelligence (AI)-enabled clinical decision support (CDS) requires nurses to interpret complex model outputs. However, their cognitive readiness remains underexplored, particularly in terms of their understanding of statistics. To assess nurses' understanding of key statistical concepts underlying AI predictions and their relationship to health numeracy.

Materials and methods

An organizational approach study involving 180 nurses from 6 medical-surgical units at a tertiary hospital, preparing to implement an AI fall-prediction model. Statistical knowledge was evaluated using a heuristic vignette based on fuzzy-trace theory, assessing both verbatim (literal) and gist (meaning-based) understanding of sensitivity, specificity, and CIs. Heal

SUBMITTER: Cho I 

PROVIDER: S-EPMC12918763 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature