Nurses’ Intention to Integrate Artificial Intelligence into their Practice: Survey Study in Canada (Preprint) DOI
Guy Paré, Louis Raymond, Faustin Armel Etindele Sosso

et al.

Published: April 30, 2025

BACKGROUND The integration of artificial intelligence (AI) into healthcare is set to revolutionize the sector, offering opportunities enhance diagnostic accuracy, personalize treatment, and improve patient outcomes. However, little known about nurses’ readiness integrate AI their professional practice. OBJECTIVE This study aimed identify key factors influencing intention METHODS An online survey was distributed 3,000 members order nurses in Québec, Canada. A total 312 participated, with 307 completing full questionnaire. Data were analyzed using descriptive statistics partial least squares structural equation modeling (PLS-SEM). RESULTS Nurses’ beliefs role trust found significantly predict AI. Facilitating conditions influenced familiarity AI, which turn shaped perceptions AI’s impact. model explained 65% variance behavioral intention. CONCLUSIONS findings underscore importance enhancing fostering positive attitudes promote integration. Educational strategies targeting these can facilitate adoption nursing.

Language: Английский

Nurses’ Intention to Integrate Artificial Intelligence into their Practice: Survey Study in Canada (Preprint) DOI
Guy Paré, Louis Raymond, Faustin Armel Etindele Sosso

et al.

Published: April 30, 2025

BACKGROUND The integration of artificial intelligence (AI) into healthcare is set to revolutionize the sector, offering opportunities enhance diagnostic accuracy, personalize treatment, and improve patient outcomes. However, little known about nurses’ readiness integrate AI their professional practice. OBJECTIVE This study aimed identify key factors influencing intention METHODS An online survey was distributed 3,000 members order nurses in Québec, Canada. A total 312 participated, with 307 completing full questionnaire. Data were analyzed using descriptive statistics partial least squares structural equation modeling (PLS-SEM). RESULTS Nurses’ beliefs role trust found significantly predict AI. Facilitating conditions influenced familiarity AI, which turn shaped perceptions AI’s impact. model explained 65% variance behavioral intention. CONCLUSIONS findings underscore importance enhancing fostering positive attitudes promote integration. Educational strategies targeting these can facilitate adoption nursing.

Language: Английский

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