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Nursing Students' Perspectives on Integrating Artificial Intelligence Into Clinical Practice and Training: A Qualitative Descriptive Study
被引:0
作者:
Rony, Moustaq Karim Khan
[1
]
Ahmad, Sumon
[2
]
Das, Dipak Chandra
[3
]
Tanha, Sabren Mukta
[2
]
Deb, Tuli Rani
[4
]
Akter, Mosammat Ruma
[5
]
Khatun, Mst. Amena
[6
]
Khalil, Md Ibrahim
[7
]
Peu, Umme Rabeya
[8
]
Parvin, Mst. Rina
[9
]
Alrazeeni, Daifallah M.
[10
]
Akter, Fazila
[11
]
机构:
[1] Int Univ Business Agr & Technol, Miyan Res Inst, Dhaka, Bangladesh
[2] Leading Univ, Sylhet, Bangladesh
[3] Shanto Mariam Univ Creat Technol, Dhaka, Bangladesh
[4] Bangabandhu Sheikh Mujib Med Univ, Nursing Serv, Dhaka, Bangladesh
[5] Natl Inst Adv Nursing Educ & Res, Dhaka, Bangladesh
[6] Pundra Univ Sci & Technol, Bogura, Bangladesh
[7] Univ Dhaka, Inst Social Welf & Res, Dhaka, Bangladesh
[8] Chattogram Imperial Coll Nursing, Chattogram, Bangladesh
[9] Combined Mil Hosp, Dhaka, Bangladesh
[10] King Saud Univ, Dept Prince Sultan Bin Abdul Aziz Coll Emergency M, Riyadh, Saudi Arabia
[11] Western Norway Univ Appl Sci, Dept Hlth & Functioning, Bergen, Norway
关键词:
artificial intelligence;
clinical practice;
ethical considerations;
healthcare technology;
nursing education;
student perspectives;
D O I:
10.1002/hsr2.70728
中图分类号:
R1 [预防医学、卫生学];
学科分类号:
1004 ;
120402 ;
摘要:
BackgroundThe integration of artificial intelligence (AI) into healthcare has introduced transformative tools to enhance clinical decision-making and streamline workflows. In nursing, a profession characterized by human-centric care, AI adoption offers both significant opportunities and notable challenges. However, the perspectives of nursing students, future professionals, on integrating AI into clinical practice and education remain underexplored.AimThis study aimed to explore nursing students' perceptions of incorporating AI into their clinical training and professional practice, with a focus on identifying benefits, challenges, and potential areas for improvement.MethodsA qualitative descriptive design explored the experiences and attitudes of 25 nursing students from five colleges in Dhaka, Bangladesh. Participants were purposively sampled to ensure diverse educational and clinical backgrounds. Semi-structured interviews in Bangla, lasting 40-50 min, were audio-recorded, transcribed, and translated into English. Data were collected from May 8, 2024 to August 10, 2024. Data were analyzed using thematic analysis to identify patterns and themes. Credibility was ensured through member checking, dependability via an audit trail, and confirmability through peer debriefing. Data visualization tools were used to map thematic relationships effectively.ResultsThematic analysis revealed four major themes: (1) AI integration in nursing education, (2) ethical and professional concerns, (3) preparedness for AI-driven practice, and (4) AI's impact on nursing practice. Participants expressed both optimism about AI's potential to improve accuracy and efficiency and apprehension about their readiness to use AI effectively in practice.ConclusionThe findings underscore the need for comprehensive curriculum reforms that incorporate AI training, address ethical concerns, and emphasize the role of AI as a supportive tool rather than a replacement for human expertise. These insights provide a roadmap for integrating AI into nursing education while preserving the compassionate core of nursing practice.
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