Artificial Intelligence In Clinical Nursing And Healthcare Systems: Innovation, Impact, And Responsibility

Abstract

Artificial Intelligence (AI) has swiftly transitioned from theoretical potential to transformative force across multiple sectors, particularly within healthcare. In clinical nursing, AI is redefining traditional practices by enhancing patient care, streamlining workflows, and offering predictive capabilities that support proactive decision-making. As nursing professionals increasingly interface with AI-driven tools, their role is evolving—from hands-on caregivers to tech-enabled patient advocates and knowledge integrators. This review explores the dynamic interplay between AI and clinical nursing, delving into core innovations such as real-time health monitoring systems, intelligent documentation, and AI-powered diagnostics. It also evaluates operational efficiencies achieved through automated administrative functions and examines how AI alleviates nurse burnout by reducing redundant tasks. Ethical and legal issues, including patient data privacy, bias in algorithmic decision-making, and liability in AI-supported care, form a central concern, urging responsible deployment guided by transparency and accountability. Furthermore, the review emphasizes the urgent need for incorporating AI literacy into nursing education, encouraging a workforce capable of critically engaging with these technologies. By examining both opportunities and limitations, this article provides an evidence-informed perspective on the evolving role of AI in nursing. It highlights nurses not just as users but as co-creators of ethical, patient-centred AI applications. As healthcare systems continue their digital transformation, nursing professionals remain essential in ensuring that AI amplifies care—not replaces its human heart.