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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.