Nurses' perspectives on barriers to artificial intelligence integration in clinical practice: a qualitative phenomenological study
The study underscores the need for targeted reforms in nursing education to include comprehensive AI training. Addressing organizational and ethical barriers, such as providing adequate resources, robust privacy measures, and inclusive policies, is crucial. By empowering nurses and fostering interdisciplinary collaboration, healthcare systems can leverage AI effectively while preserving human-centered care.
Authors
- Moustaq Karim Khan Rony (ORCID: https://orcid.org/0000-0002-6905-0554)
- Israth Jahan Tama (ORCID: https://orcid.org/0000-0003-0968-1714)
- Zannatul Farzana
- M. Islam (ORCID: https://orcid.org/0000-0003-0489-1333)
- Bimalendu Deb (ORCID: https://orcid.org/0000-0002-7036-8391)
- Fazila Akter (ORCID: https://orcid.org/0009-0009-5887-8370)
- Md Imdadul Alam (ORCID: https://orcid.org/0009-0004-3816-6433)
- Chandana Rani Halder (ORCID: https://orcid.org/0009-0000-9323-9894)
- Umme Rabeya Peu (ORCID: https://orcid.org/0009-0000-6160-552X)
- Abu Zafor Md Shaleah (ORCID: https://orcid.org/0009-0007-1717-011X)
- Dilruba Akther (ORCID: https://orcid.org/0009-0000-1586-3982)
- Sadia Afrin Mitu (ORCID: https://orcid.org/0009-0003-1931-8705)
Institutions
- Oklahoma State Department of Health (US)
- Shahjalal University of Science and Technology (BD)
- Sylhet Agricultural University (BD)
- State University of Bangladesh (BD)
- Western Norway University of Applied Sciences (NO)
- University of Dhaka (BD)
- Imperial Valley College (US)
- Bangladesh Open University (BD)
- National Institute of Nursing Research (US)
- Higashihiroshima Medical Center (JP)
- International University of Business Agriculture and Technology (BD)
- National Institute of Nuclear Medicine & Allied Sciences (BD)
- Sylhet International University (BD)
- University of Chittagong (BD)
Publication Details
- Journal
- Contemporary Nurse
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1080/10376178.2025.2590147
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31