Understanding Nurses' Intention to Use Artificial Intelligence Technologies in Their Clinical Practice: A...

Area of Science:

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

Background:

• Nurses' understanding of artificial intelligence (AI) is crucial for its integration into clinical practice.
• Beliefs and attitudes significantly influence the adoption of new health technologies.
• Identifying factors driving AI adoption is essential for effective implementation.

Purpose of the Study:

• To explore nurses' familiarity, beliefs, and attitudes towards artificial intelligence.
• To identify conditions necessary and sufficient for nurses' strong intentions to use AI-based health technologies.
• To inform the development of AI training and curricula for nurses.

Main Methods:

• Cross-sectional online survey administered to 307 nurses in Québec, Canada.
• Data collected from October 2023 to February 2024.
• Fuzzy-set qualitative comparative analysis (fsQCA) used for data analysis.

Main Results:

• Perceived high impactfulness of AI on future practice is a necessary condition for strong adoption intentions.
• Three distinct AI profiles (combinations of familiarity, belief, trust, and impactfulness) were identified as sufficient conditions for AI use intention.
• Nurses' attitudes towards AI's potential impact are critical for adoption.

Conclusions:

• AI competency alone is insufficient to ensure adoption; positive attitudes towards AI's impact are vital.
• Nursing education should focus on shaping beliefs and attitudes regarding AI, not just technical skills.
• Tailored training programs addressing different nurse profiles are needed for successful AI integration.