Aim. To synthesise the available evidence on the applicability of artificial intelligence in nursing care. Background. Artificial intelligence involves the replication of human cognitive abilities in machines, allowing to perform tasks that conventionally necessitate human cognition. However, its application in health sciences is a recent one, and its use is currently limited to supporting the diagnosis and prognosis of hospitalised patients, among others. Evaluation. A systematic review was conducted in the PubMed-Medline, Scopus, CINAHL, Web of Science, and Nursing & Allied Health databases until September 2022, following the PRISMA guidelines. Key Issues. A total of 21 articles were selected for the review. The different applications of artificial intelligence in nursing identified comprised (i) advances in early disease detection and clinical decision making; (ii) artificial intelligence-based support systems in nursing for patient monitoring and workflow optimisation; and (iii) artificial intelligence insights for nursing training and education. Conclusion. Artificial intelligence-based systems demonstrated increased autonomy of patients and professionals in care processes such as wound management through guided instructions, improved workflows, and efficiency in terms of time, materials, and human resources. Implications for Nursing Management. Artificial intelligence applied to nursing practice can be a very useful resource for professionals, managers, and supervisors. It has the potential to change current working flow systems and may serve as a down-to-earth resource to support nursing professionals in their decision-making process that ensures high quality and patient safety care.

Background/Objectives: Coping with death is an essential yet challenging aspect of nursing. In Ecuador, limited training and cultural factors may influence how nurses face the process of death and dying. This study aimed to explore nurses’ perspectives and highlight the degree of congruence between the numerical and discursive data provided by participants. Methods: A sequential explanatory mixed-methods design (QUAN → qual) using questionnaires and qualitative interviews was employed. The quantitative phase included 497 nurses who completed the Bugen Coping with Death Scale and the qualitative phase involved semi-structured interviews with 18 nurses. Quantitative data were analysed descriptively, while qualitative data underwent thematic analysis. Integration occurred at the methodological level—through the building of the qualitative data collection instrument—and at the levels of analysis and interpretation. Results: Nurses demonstrated moderate coping levels on the Bugen Coping with Death Scale. Although many reported being comfortable discussing death, qualitative data revealed substantial emotional distress and limited preparedness—particularly when facing their own mortality or the death of loved ones. Nurses expressed fear of suffering, sadness, and helplessness, especially when caring for dying children or young mothers. Communication with patients and families at the end of life emerged as a major challenge. Spirituality was identified as a key coping resource. Conclusions: Coping with death remains a complex and emotionally demanding process for nurses in Ecuador. Continuous education, emotional support, and training in spiritual and psychological dimensions of care are essential to strengthen nurses’ resilience and enhance the quality of care.