Facilitators and barriers to AI adoption in nursing practice: a qualitative study of registered nurses' perspectives
AI adoption in nursing practice requires a holistic approach that addresses technical, educational, ethical, and organisational challenges. The proposed TAM-AIN offers a comprehensive framework for optimising AI integration into nursing practice, emphasising the importance of nurse-centred implementation strategies. This model provides healthcare institutions and policymakers with a robust tool to facilitate successful AI adoption and enhance patient outcomes.
Authors
- Mohamed Gamal Elsehrawy (ORCID: https://orcid.org/0000-0001-9887-3907)
- Abeer Nuwayfi Alruwaili (ORCID: https://orcid.org/0000-0003-3345-4300)
- Sulaiman Alanazi (ORCID: https://orcid.org/0000-0003-3617-5729)
- Majed Mowanes Alruwaili (ORCID: https://orcid.org/0000-0001-8491-8190)
- Osama Mohamed Elsayed Ramadan (ORCID: https://orcid.org/0000-0002-9616-8590)
Institutions
- Prince Sattam Bin Abdulaziz University (SA)
- Jouf University (SA)
- Port Said University (EG)
Publication Details
- Journal
- BMC Nursing
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s12912-024-02571-y
- Citations
- 62
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 7.46