Artificial intelligence in future nursing care: Exploring perspectives of nursing professionals - A descriptive qualitative study

Moustaq Karim Khan Rony; Ibne Kayesh; Shuvashish Das Bala; Fazila Akter; Mst Rina Parvin

doi:10.1016/j.heliyon.2024.e25718

Artificial intelligence in future nursing care: Exploring perspectives of nursing professionals - A descriptive qualitative study

Heliyon. 2024 Feb 8;10(4):e25718. doi: 10.1016/j.heliyon.2024.e25718. eCollection 2024 Feb 29.

Authors

Moustaq Karim Khan Rony^{1

2}, Ibne Kayesh², Shuvashish Das Bala³, Fazila Akter⁴, Mst Rina Parvin^{5

6}

Affiliations

¹ Master of Public Health, Bangladesh Open University, Gazipur, Bangladesh.
² Institute of Social Welfare and Research, University of Dhaka, Dhaka, Bangladesh.
³ Associate Professor, International University of Business Agriculture and Technology, Dhaka, Bangladesh.
⁴ Dhaka Nursing College, affiliated with the University of Dhaka, Bangladesh.
⁵ Afns Major at Bangladesh Army, Combined Military Hospital, Dhaka, Bangladesh.
⁶ School of Medical Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh.

Abstract

Background: The healthcare landscape is rapidly evolving, with artificial intelligence (AI) emerging as a transformative force. In this context, understanding the viewpoints of nursing professionals regarding the integration of AI in future nursing care is crucial.

Aims: This study aimed to provide insights into the perceptions of nursing professionals regarding the role of AI in shaping the future of healthcare.

Methods: A cohort of 23 nursing professionals was recruited between April 7, 2023, and May 4, 2023, for this study. Employing a thematic analysis approach, qualitative data from interviews with nursing professionals were analyzed. Verbatim transcripts underwent rigorous coding, and these codes were organized into themes through constant comparative analysis. The themes were refined and developed through the grouping of related codes, ensuring an authentic representation of participants' viewpoints.

Results: After careful data analysis, ten key themes emerged including: (I) Perceptions of AI readiness; (II) Benefits and concerns; (III) Enhanced patient outcomes; (IV) Collaboration and workflow; (V) Human-tech balance: (VI) Training and skill development; (VII) Ethical and legal considerations; (VIII) AI implementation barriers; (IX) Patient-nurse relationships; (X) Future vision and adaptation.

Conclusion: This study provides valuable insights into nursing professionals' perspectives on the integration of AI in future nursing care. It highlights their enthusiasm for AI's potential benefits while emphasizing the importance of ethical and compassionate nursing practice. The findings underscore the need for comprehensive training programs to equip nursing professionals with the skills necessary for successful AI integration. Ultimately, this research contributes to the ongoing discourse on the role of AI in nursing, paving the way for a future where innovative technologies complement and enhance the delivery of patient-centered care.

Keywords: Artificial intelligence; Nursing professionals; Patient care; Perspectives.