Nurses' attitudes toward artificial intelligence applications and their clinical decision-making competence: A...

Area of Science:

• Nursing Informatics
• Healthcare Artificial Intelligence
• Clinical Decision Support Systems

Background:

• Growing integration of artificial intelligence (AI) in healthcare settings.
• Exploration of AI's role in nursing practice, clinical decision-making, and care delivery.

Purpose of the Study:

• To investigate the relationship between nurses' attitudes towards AI and their clinical decision-making patterns.
• To assess how nurses perceive and interact with AI technologies in their practice.

Main Methods:

• Cross-sectional, descriptive study design.
• Data collected from 323 nurses in a Turkish training and research hospital.
• Utilized the Artificial Intelligence Attitude Scale for Nurses and the Nursing Decision-making Instrument.
• Statistical analyses included descriptive statistics, correlation, and regression.

Main Results:

• Nurses reported generally positive attitudes toward AI (mean score 107.19 ± 24.43).
• Nurses exhibited an analytical decision-making tendency (mean score 67.17 ± 7.12).
• A significant negative correlation (r = -0.662, p < 0.001) was found between AI attitudes and decision-making scores.
• AI attitudes significantly predicted decision-making scores, explaining 43.8% of the variance.
• Demographic factors like marital status, education, experience, and clinical unit were associated with AI attitudes and decision-making.

Conclusions:

• Positive nurse attitudes towards AI correlate with analytical clinical decision-making.
• AI tools can potentially enhance patient safety and care quality in clinical settings.
• Incorporating AI competencies into nursing education is recommended to foster evidence-based decision-making.