ETHICAL ISSUES ASSOCIATED WITH THE USE OF ARTIFICIAL INTELLIGENCE IN NURSING PRACTICE IN A HOSPITAL SETTING: A RAPID REVIEW

Rapid review protocol The integration of artificial intelligence (AI) into healthcare systems has been transforming clinical, organizational, and decision-making processes, particularly in hospitals. AI-based tools are increasingly used to support diagnosis, patient monitoring, clinical data management, and resource optimization (Seethalakshmi et al., 2025; Suryawanshi et al., 2025). The incorporation of these technologies raises ethical issues relevant to nursing practice, including concerns related to data privacy and security, algorithmic transparency, professional responsibility, bias in automated systems, and preservation of the therapeutic relationship. Nurses play a central role in mediating between technology and the person receiving care, and it is essential to understand the ethical challenges associated with the use of AI in their practice context (Badawy et al., 2025). Recent literature has highlighted the need for ethical guidance and the development of digital skills to support the responsible integration of these technologies into clinical practice. This review aims to synthesize the available evidence on the ethical issues associated with the use of artificial intelligence by nurses in a hospital setting.