AI Utilization and Clinical Judgment: Predictors of Caring Behavior Among Nursing Students.

Area of Science:

• Nursing Education
• Healthcare Technology
• Clinical Psychology

Background:

• Nursing education integrates technology, clinical reasoning, and compassionate care.
• The expanding role of artificial intelligence (AI) in nursing education, particularly in fostering compassionate care, requires investigation.
• This study addresses the unclear impact of AI on compassionate care within nursing education.

Purpose of the Study:

• To examine the predictive relationship between artificial intelligence (AI) utilization and clinical judgment on caring behavior among nursing students.
• To understand how technological integration influences essential nursing competencies.

Main Methods:

• A cross-sectional study was conducted with 395 undergraduate nursing students from Philippine higher education institutions.
• Validated instruments measured perceived AI utilization, clinical judgment, and caring behavior.
• Data were analyzed using descriptive statistics, Pearson's r correlation, and hierarchical regression analysis.

Main Results:

• Nursing students demonstrated moderate perceived AI utilization and high levels of clinical judgment and caring behavior.
• Both perceived AI utilization and clinical judgment were significant positive predictors of caring behavior.
• The combined model explained 23.9% of the variance in caring behavior.

Conclusions:

• Findings suggest that AI utilization and clinical judgment are crucial components influencing caring behavior in nursing students.
• Integrating AI-supported learning strategies alongside those that enhance clinical judgment can bolster technological proficiency and compassionate care.
• This approach is vital for preparing competent and caring nursing professionals.