Artificial Intelligence in the nursing process

potential in primary health care with vulnerable populations

Abstract

Artificial Intelligence (AI) has been transforming practices across various fields, including healthcare. In the field of Nursing, particularly in Primary Health Care (PHC), its integration with the Nursing Process (NP) offers new possibilities to en-hance care quality, especially for vulnerable populations. This article discusses the potential of AI as a tool to support clinical decision-making and care management, analyzing its ethical, technical, and operational impacts in the PHC context. The study identifies a gap in the literature regarding the lack of cri-tical integration be-tween ethical, pedagogical, and operational foundations of AI applied to the NP in socially vulnerable settings, especially within PHC. The re-search is based on a qual-itative literature review, with emphasis on national and international publications from the last five years. The results indicate that, although challenges persist re-garding data security, professional training, and technological inequalities, AI can significantly contribute to risk prediction, chro-nic condition monitoring, and person-alized care. It is concluded that, for AI to be effective and ethically applied in the care of vulnerable populations, its imple-mentation must be participatory, interpro-fessional, and tailored to local reali-ties. The originality of this study lies in its inno-vative articulation of technology, nursing care, and social vulnerability within the PHC framework.