⚡ Quick Summary
This study investigates the impact of nurses’ attitudes toward artificial intelligence (AI) on their creative self-efficacy and clinical reasoning competency. Findings reveal a strong positive correlation, indicating that positive AI attitudes significantly enhance these essential nursing competencies.
🔍 Key Details
- 📊 Sample Size: 380 nurses from critical care units
- 🧩 Instruments Used: Nurses’ Artificial Intelligence Attitudes Scale, Creative Self-Efficacy Scale, Clinical Reasoning Competency Scale
- ⚙️ Study Design: Cross-sectional descriptive-correlational
- 🏆 Key Findings: Strong correlations between AI attitudes and both creative self-efficacy (r = 0.559) and clinical reasoning competency (r = 0.728)
🔑 Key Takeaways
- 🌟 High AI-related attitudes were observed among the majority of nurses.
- 💡 Moderate levels of creative self-efficacy were reported.
- 📈 AI attitudes explained 37.4% of the variance in creative self-efficacy.
- 📊 AI attitudes accounted for 56.5% of the variance in clinical reasoning competency.
- 🎓 Educational qualifications and years of experience significantly influenced competencies.
- 🤖 Positive perceptions of AI are essential for effective nursing practice.
- 🏥 Training and education in AI are crucial for nursing professionals.
- 🌍 Study conducted at a university-affiliated hospital in Egypt.
📚 Background
As artificial intelligence (AI) becomes increasingly integrated into healthcare, it is essential for nursing professionals to adapt to these changes. Understanding how nurses’ attitudes toward AI can influence their creative self-efficacy and clinical reasoning competency is vital for ensuring safe and effective patient care. This study aims to shed light on these relationships, providing insights for nursing education and practice.
🗒️ Study
Conducted at a university-affiliated hospital in Egypt, this study utilized a cross-sectional descriptive-correlational design to explore the relationship between nurses’ AI-related attitudes and their competencies. A total of 380 nurses working in critical care units participated, providing valuable data through validated scales measuring their attitudes, self-efficacy, and reasoning skills.
📈 Results
The results indicated that the majority of nurses exhibited high levels of AI-related attitudes and clinical reasoning competency, while their creative self-efficacy was moderate. Notably, a strong positive correlation was identified between AI attitudes and both creative self-efficacy (r = 0.559) and clinical reasoning competency (r = 0.728), with statistical significance (p < 0.001). Regression analysis further confirmed that AI attitudes were significant predictors of these competencies.
🌍 Impact and Implications
The findings of this study underscore the importance of fostering positive attitudes toward AI among nurses. By enhancing creative self-efficacy and clinical reasoning competency, healthcare organizations can improve patient care outcomes. Integrating AI-focused content into nursing education and promoting continuous professional development are essential strategies for preparing nurses for AI-integrated clinical environments.
🔮 Conclusion
This study highlights the critical role of positive attitudes toward AI in enhancing nursing competencies. As AI continues to shape the future of healthcare, it is imperative to provide targeted training and create supportive environments that encourage AI adoption while maintaining patient-centered care principles. The future of nursing practice is bright, with AI as a valuable ally in delivering high-quality patient care.
💬 Your comments
What are your thoughts on the integration of AI in nursing practice? How do you think it will impact patient care? 💬 Share your insights in the comments below or connect with us on social media:
Embracing artificial intelligence in nursing: exploring the relationship between artificial intelligence-related attitudes, creative self-efficacy, and clinical reasoning competency among nurses.
Abstract
BACKGROUND: As artificial intelligence (AI) becomes an integral part of healthcare, nursing practice is rapidly evolving, requiring a deeper understanding of how nurses’ attitudes toward AI influence essential competencies such as creative self-efficacy and clinical reasoning competency, both of which are crucial for delivering safe and effective patient care.
AIM: This study aimed to explore the relationship between nurses’ AI-related attitudes, creative self-efficacy, and clinical reasoning competency.
METHODS: A cross-sectional descriptive-correlational design was employed, involving a convenience sample of 380 nurses working in critical care units at a university-affiliated hospital in Egypt. Data were collected using three validated instruments: the Nurses’ Artificial Intelligence Attitudes Scale, the Creative Self-Efficacy Scale, and the Clinical Reasoning Competency Scale. Data analysis included both descriptive and inferential statistics.
RESULTS: The majority of nurses demonstrated high levels of AI-related attitudes and clinical reasoning competency, while moderate levels of creative self-efficacy were observed. A strong positive correlation was found between AI attitudes and both creative self-efficacy and clinical reasoning competency (r = 0.559 and r = 0.728, p < 0.001, respectively). Regression analysis confirmed that AI attitudes were significant predictors of both creative self-efficacy and clinical reasoning competency, explaining 37.4% and 56.5% of their variance, respectively. Additionally, educational qualifications and years of nursing experience were identified as significant factors influencing these competencies.
CONCLUSION AND IMPLICATIONS: Positive attitudes toward artificial intelligence (AI) play a crucial role in enhancing nurses' creative self-efficacy and clinical reasoning competency. Therefore, fostering positive perceptions of AI and providing targeted training are vital to prepare nurses for AI-integrated clinical environments. Integrating AI-focused content into nursing education and promoting continuous professional development are key strategies to strengthen nurses' readiness to engage with AI-driven healthcare. Additionally, healthcare organizations and nursing leaders should create supportive environments that encourage AI adoption while preserving the principles of patient-centered care.
CLINICAL TRIAL NUMBER: Not applicable.
Author: [‘Atalla ADG’, ‘El-Gawad Mousa MA’, ‘Hashish EAA’, ‘Elseesy NAM’, ‘Abd El Kader Mohamed AI’, ‘Sobhi Mohamed SM’]
Journal: BMC Nurs
Citation: Atalla ADG, et al. Embracing artificial intelligence in nursing: exploring the relationship between artificial intelligence-related attitudes, creative self-efficacy, and clinical reasoning competency among nurses. Embracing artificial intelligence in nursing: exploring the relationship between artificial intelligence-related attitudes, creative self-efficacy, and clinical reasoning competency among nurses. 2025; 24:661. doi: 10.1186/s12912-025-03306-3