Linking AI Literacy to Empathy in Nursing Interns: Considering the Roles of Moral Distress and Resilience
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By
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Chuanying Ding
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Bingxia Zhang
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Shijin Jia
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September 15, 2026
Clinical Report: Linking AI Literacy to Empathy in Nursing Interns
Overview
This study investigates the association between AI literacy and empathic behavior among nursing interns. Findings indicate that higher AI literacy correlates with increased empathic behavior.
Background
The integration of artificial intelligence (AI) in healthcare is transforming nursing education and practice. Empathy remains a critical competency in nursing, essential for effective patient care and communication.
Data Highlights
| Measure | Unadjusted β | Adjusted β | 95% CI | P-value |
|---|---|---|---|---|
| AI Literacy vs. Empathic Behavior | 4.40 | 4.31 | 3.40–5.23 | <.001 |
Key Findings
- Higher AI literacy is significantly associated with greater empathic behavior among nursing interns.
- The association remains consistent after adjusting for moral distress and resilience.
- No evidence of nonlinearity was found in the relationship between AI literacy and empathy.
- Results were consistent across various prespecified subgroups.
Clinical Implications
Nursing education should prioritize the development of AI literacy to enhance empathic behavior in clinical practice. Understanding the interplay between these competencies may improve patient care outcomes.
Conclusion
The study establishes a statistical link between AI literacy and empathic behavior in nursing interns.
Related Resources & Content
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- Journal of Medical Internet Research (JMIR), 2026 -- Generative Artificial Intelligence Literacy Scale for Nurses: Development and Psychometric Evaluation
- Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models
- ANA Position Statement: The Ethical Use of Artificial Intelligence in Nursing Practice | OJIN: The Online Journal of Issues in Nursing
- Position Statements - American Academy of Nursing
- Copyright © 2026 Council of Deans of Health, All rights reserved
- AI chatbots versus human healthcare professionals: a systematic review and meta-analysis of empathy in patient care.
- Journal of Medical Internet Research - Effectiveness of Communication Competence in AI Conversational Agents for Health: Systematic Review and Meta-Analysis
- Effects of a Longitudinal Multimethod Reflective Learning Intervention on Empathy and Compassion in Nursing Students: Cluster Randomized Controlled Trial - PubMed
- The efficacy of compassion and self-compassion training programs for healthcare university students: a systematic review and meta-analysis | BMC Medical Education | Springer Nature Link
- AACN Position Statement: Moral Distress in Times of Crisis - AACN
- Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models
- ANA Position Statement: The Ethical Use of Artificial Intelligence in Nursing Practice | OJIN: The Online Journal of Issues in Nursing
- Position Statements - American Academy of Nursing
- Copyright © 2026 Council of Deans of Health, All rights reserved
- Psychometrics evaluation of the Chinese version of the revised Rushton Moral Resilience Scale in registered nurses | BMC Nursing | Springer Nature Link
- Frontiers | The serial mediating effects of moral resilience and moral courage on the relationship between moral injury and positive coping style in Chinese nursing interns
- Resilience Among Healthcare Staff: A Randomized Controlled Trial of a Digital Training Program | Journal of Clinical Psychology in Medical Settings | Springer Nature Link
Based on findings from:
Association between artificial intelligence literacy and empathic behavior among nursing interns: adjustment for moral distress and moral resilience
Chuanying Ding, Bingxia Zhang, Shijin Jia. Frontiers In Medicine, 2026.
https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2026.1916897/full
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