Readiness, Attitudes, and Behavioral Intention toward Artificial Intelligence among Clinical Nurses: A Cross-Sectional Study

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Authors: Jeong-Eun Son, Yeon‐Hwan Park
Cited by: 1
References: 32

Abstract

Purpose: This study examined the relationships among nurses’ readiness for artificial intelligence (AI), attitudes toward AI, and behavioral intention to use AI, focusing on clinical nurses in a tertiary hospital setting.Methods: A cross-sectional descriptive study was conducted using an online self-report survey of 218 clinical nurses recruited through convenience sampling from a tertiary hospital in South Korea. AI readiness was measured using the Medical Artificial Intelligence Readiness Scale, attitudes toward AI were assessed using the Korean version of the General Attitudes toward Artificial Intelligence Scale, and behavioral intention was measured using items adapted from the Unified Theory of Acceptance and Use of Technology. Open-ended responses were summarized descriptively to explore expected AI applications.Results: Clinical nurses demonstrated varying levels of AI readiness, attitudes toward AI, and behavioral intention to use AI, and these variables were positively correlated. Among AI readiness dimensions, ability and ethics tended to show stronger bivariate correlations with behavioral intention than vision. Hierarchical regression analysis indicated that attitudes toward AI were strongly associated with behavioral intention (β=.61, p

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education AI in Service Interactions Grit Self-Efficacy and Motivation

Publication details

Journal / source
Korean Journal of Adult Nursing
Publisher
Korean Society of Adult Nursing
Volume
38
Issue
2
Pages
169–181
Publication date
14 May 2026
Language
EN