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Nurses' Intention to Integrate AI Into Their Practice: Survey Study in Canada
Guy Pare1, Louis Raymond2, Faustin Armel Etindele Sosso3
1Research Chair in Digital Health, HEC Montréal, 3000 Cote-Ste-Catherine Road, Montreal, QC, H3T 2A7, Canada, 1 5148828672, 1 5143406812.
Background:
The integration of artificial intelligence (AI) into health care is set to revolutionize the sector, offering opportunities to enhance diagnostic accuracy, personalize treatment, and improve patient outcomes. However, little is known about nurses' readiness to integrate AI into their professional practice.
Objective:
This study aimed to identify the key factors influencing nurses' intention to integrate AI into their practice.
Methods:
An online survey was distributed to 3000 members of the professional order of nurses in Quebec, Canada. A total of 312 nurses participated, with 307 completing the full questionnaire. Data were analyzed using descriptive statistics and partial least squares structural equation modeling.
Results:
Nurses' beliefs about the role of AI and trust in AI were found to predict intention to integrate AI significantly. Facilitating conditions influenced beliefs and familiarity with AI, which in turn shaped perceptions of AI's impact. The model explained 65% of the variance in behavioral intention.
Conclusions:
The findings highlight the importance of enhancing nurses' familiarity with AI and fostering positive beliefs and attitudes to promote effective integration. Educational strategies targeting these beliefs can facilitate AI adoption in nursing.
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