Artificial Intelligence in the Professional Communication of Future Nurses

The rapid integration of Artificial Intelligence (AI) into healthcare and medical education has transformed the way future nurses develop professional communication skills. This paper explores the role of AI in enhancing communication competence among nursing students, focusing on the use of intelligent tutoring systems, chatbots, and virtual simulations in the learning process. The research also discusses ethical considerations, digital literacy, and the need for emotional intelligence in balancing technology with human-centered care. Through case examples such as ChatGPT-assisted learning and AI-based patient communication simulators, the study illustrates how AI can support empathy, accuracy, and decision-making in clinical interactions. The paper concludes that integrating AI responsibly into nursing education is crucial for preparing professionals capable of communicating effectively in technology-rich healthcare environments.

artificial intelligence, nursing education, professional communication, digital literacy, ethical implications

1. Ionescu, M. (2021). Digital Transformation in Medical Education: Challenges and Perspectives. Bucharest: Universitară Publishing House. [Google Scholar] [Crossref]

2. Pop, L., & Mihăilescu, A. (2022). “Digital Competences and Clinical Communication in Nursing Education.” Romanian Journal of Health Sciences, 18(2), 45–58. [Google Scholar] [Crossref]

3. Radu, C. (2023). “The Role of Artificial Intelligence in Developing Therapeutic Communication Skills.” Journal of Nursing Education and Innovation, 5(1), 22–34. [Google Scholar] [Crossref]

4. Dumitrescu, S., & Sava, D. (2020). Intelligent Systems and Assisted Learning in Medical Training. Cluj-Napoca: Medical Publishing House. [Google Scholar] [Crossref]

5. Bădescu, A. (2021). “Clinical Simulation and the Development of Communication Competencies in Nursing.” Studies and Research in Medical Education, 9(3), 66–78. [Google Scholar] [Crossref]

6. Stoica, V. (2022). “Chatbots in Nursing Training: Reducing Communication Anxiety.” Journal of Applied Medical Technologies, 4(2), 12–25. [Google Scholar] [Crossref]

7. Enache, E. (2020). Experiential Learning and Emerging Technologies in Medical Education. Iași: Polirom Publishing House. [Google Scholar] [Crossref]

8. Marin, D., & Dogaru, M. (2021). “Repetitive Practice and Digital Simulations in Clinical Training.” Nursing Today, 12(1), 55–67. [Google Scholar] [Crossref]

9. Vasilescu, S. (2023). “Emotion Recognition through Artificial Intelligence in Clinician–Patient Communication.” AI & Health Studies, 7(1), 88–101. [Google Scholar] [Crossref]

10. Buzatu, G. (2022). Data Ethics in Healthcare: Regulations, Risks, and Best Practices. Bucharest: C.H. Beck Publishing House. [Google Scholar] [Crossref]

11. Mureșan, A. (2021). “The Limitations of Artificial Intelligence in Complex Clinical Decision-Making.” Romanian Journal of Bioethics, 19(4), 124–137. [Google Scholar] [Crossref]

12. Georgescu, R. (2022). Empathy and Communication in Contemporary Medical Practice. Timișoara: Medical Horizons Publishing. [Google Scholar] [Crossref]

13. Zamfir, D. (2020). “Algorithmic Bias in Medical Data Analysis and Ethical Implications.” Medical Data & Ethics Review, 3(2), 14–27. [Google Scholar] [Crossref]

14. Tudor, M. (2022). “Digital Literacy as a Core Competence in Health Professions.” Bulletin of Health Education, 10(3), 49–62. [Google Scholar] [Crossref]

15. Sime, L. (2021). Emotional Intelligence in the Training of Future Nurses. Brașov: Didactic Medical Publishing House. [Google Scholar] [Crossref]

16. Nistor, C. (2023). “Conversational AI Platforms in Therapeutic Communication Training.” International Journal of Nursing Simulation, 2(1), 33–48. [Google Scholar] [Crossref]

17. Petrescu, A. (2022). “VR Simulations in Medical Education: Impact on Clinical Decisions and Communication.” Virtual Health Horizons, 6(2), 70–83. [Google Scholar] [Crossref]

18. Cristea, B. (2021). “Automated Assessment of Oral Communication in Nursing Education.” Journal of Applied Nursing Research, 11(4), 59–72. [Google Scholar] [Crossref]

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