Nursing in the Future Using Artificial Intelligence in Improving Quality Services: Literature Review

Abstract

Digital transformation in the health sector has brought artificial intelligence (AI) as a revolutionary technology that has the potential to change the paradigm of nursing services. The integration of AI in nursing practice promises to improve service quality through data-driven decision making, automation of administrative tasks, and personalisation of patient care. Purpose this article to analyse the prospects and implementation of AI in future nursing services and its impact on the quality of nursing services based on the latest scientific evidence. Method reseach  by Literature review. A search for relevant studies was conducted in several databases, namely SciSpace PUBMED, Scopus, and Google Scholar, using keywords and terms related to nursing, artificial intelligence, and machine learning in the range of 2020-2025. Results: AI shows transformative potential in six key areas of nursing: (1) Predictive analytics for early identification of patient risk and risk stratification, enabling more timely preventive interventions; (2) Clinical decision support systems (CDS) that provide evidence-based diagnosis and nursing plan recommendations to improve the consistency of clinical assessments; (3) Automated monitoring through signal and visual analysis for the detection of clinical events such as fall risk and changes in vital signs, which speeds up the response to care; (4) Documentation automation using natural language processing (NLP), which reduces administrative burden by up to 40% and increases direct patient care time; (5) Virtual assistants and telehealth, which expand remote care access and support ongoing patient education; and (6) Assistive robotics, which aid in logistical tasks and reduce the risk of occupational injuries for nurses.