Integration of artificial intelligence into nursing practice.

Area of Science:

• Nursing
• Healthcare Technology
• Artificial Intelligence

Background:

• Artificial Intelligence (AI) is rapidly advancing, impacting healthcare roles and creating discussions on job opportunities and professional concerns.
• Nursing practice is significantly influenced by AI integration, necessitating an understanding of nurses' current knowledge and perceptions.
• Assessing nurses' knowledge, attitudes, willingness, and organizational readiness is crucial for effective AI implementation in healthcare.

Purpose of the Study:

• To evaluate the knowledge and perceptions of nurses regarding AI in healthcare.
• To determine nurses' attitudes and willingness towards integrating AI into their practice.
• To assess the organizational readiness for AI adoption within nursing.

Main Methods:

• An exploratory cross-sectional survey was conducted among nurses in the United Arab Emirates (UAE).
• Survey invitations were emailed to registered nurses in government and private hospitals.
• Data collected included demographics, AI knowledge, perceptions, organizational readiness, and implementation challenges.

Main Results:

• A high response rate of 85% (553 out of 650) was achieved.
• Most nurses (51%) reported self-taught AI knowledge; 20% gained knowledge through courses, and 8% through postgraduate studies.
• A significant majority (75%) agreed that AI knowledge should be incorporated into the nursing curriculum.

Conclusions:

• There is a notable gap in understanding AI principles within the nursing profession.
• Enhanced education and training are essential for the safe and effective integration of AI into nursing practice.
• Addressing knowledge deficits is key to preparing nurses for AI-driven healthcare environments.