review · Frontiers in Digital Health
Artificial intelligence offers transformative potential to enhance nursing practice through measurable improvements in both clinical outcomes and day-to-day operational efficiency. To fully realise these advantages, healthcare systems must establish robust ethical frameworks, embed thorough artificial intelligence literacy training within nursing education programmes, and encourage interdisciplinary collaboration. Further longitudinal studies conducted across varied clinical environments remain essential to validate these findings and ensure equitable, sustainable adoption over time. Healthcare leaders and policymakers are urged to prioritise investments in solutions that complement the specialized expertise of nursing professionals while actively identifying and mitigating ethical risks across care delivery settings.
Nurses form the core of clinical care, and introducing artificial intelligence into their workflow could streamline operations and improve patient results. However, successful integration depends on ethical oversight, relevant education, and tools designed to assist rather than undermine clinical staff, ensuring healthcare technologies deliver fair and sustainable benefits.
The review points towards software applications designed to assist clinical workflows and operational management for nursing teams. Because the findings rely on early review evidence requiring further longitudinal validation across diverse clinical environments, commercial technologies remain in development and testing phases. Solution developers must focus on complementary workflow tools while meeting demands for ethical compliance and educational integration.
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This review demonstrates that AI integration holds transformative potential for nursing practice by enhancing both clinical outcomes and operational efficiency. However, to realize these benefits fully, it is imperative to develop robust ethical frameworks, incorporate comprehensive AI literacy training into nursing education, and foster interdisciplinary collaboration. Future longitudinal studies across varied clinical contexts are essential to validate these findings and support the sustainable, equitable implementation of AI technologies in nursing. Policymakers and healthcare leaders must prioritize investments in AI solutions that complement the expertise of nursing professionals while addressing ethical risks.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.3389/fdgth.2025.1552372
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