Nurses' Intention to Integrate AI Into Their Practice: Survey Study in Canada

Area of Science:

• Nursing Informatics
• Artificial Intelligence in Healthcare
• Digital Health Adoption

Background:

• Artificial intelligence (AI) integration promises to transform healthcare, improving diagnostics and patient care.
• Limited understanding exists regarding nurses' preparedness for AI adoption in clinical practice.

Purpose of the Study:

• To identify key factors influencing nurses' intention to integrate AI into their professional practice.
• To explore the relationship between nurses' perceptions, beliefs, and AI adoption.

Main Methods:

• Online survey distributed to 3000 nurses in Quebec, Canada.
• Data collected from 307 participants analyzed using descriptive statistics and partial least squares structural equation modeling (PLS-SEM).

Main Results:

• Nurses' beliefs about AI's role and trust in AI significantly predicted their intention to integrate AI.
• Facilitating conditions impacted nurses' beliefs and familiarity, influencing their perception of AI's impact.
• The developed model explained 65% of the variance in nurses' behavioral intention to adopt AI.

Conclusions:

• Enhancing nurses' familiarity and fostering positive beliefs are crucial for successful AI integration.
• Targeted educational strategies addressing these factors can promote AI adoption in nursing.
• Addressing nurses' perceptions is key to leveraging AI for improved healthcare outcomes.