Use of artificial intelligence in nursing

Miguel Valencia-Contrera, Flérida Rivera-Rojas, Jenifer Villa-Velasquez and Daniella Cancino-Jiménez

LatIA, 2024, vol. 2, 92

Abstract: Introduction: Artificial Intelligence (AI) encompasses technologies such as machine learning and neural networks, with applications across various fields. The World Health Organization recognizes its potential to enhance healthcare, yet emphasizes the need to address ethical considerations in its implementation. In nursing, AI has the potential to increase autonomy and efficiency in care, though its use remains limited and poorly understood within the profession. Objective: To analyze the use of AI in nursing by evaluating its impact on care functions, administrative tasks, educational activities, and research. Methods: A literature review was conducted, including original articles, reviews, and bibliometric studies. The research focused on AI applications across the four primary functions of nursing. Results: AI has demonstrated benefits in predictive analytics and improving patient care efficiency, as well as in administrative management and patient classification. In education, generative AI facilitates the development of educational materials, although it presents risks of bias. In research, AI serves as an assistant in data search and analysis, despite facing ethical and methodological challenges. Conclusions: AI has the potential to significantly transform nursing practice, enhancing both the quality and efficiency of care. However, its integration necessitates careful management to address its limitations and ensure a positive impact in the field.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:rlatia:v:2:y:2024:i::p:92:id:1062486latia202492

DOI: 10.62486/latia202492

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