Frontiers in Medicine· 2025Q1· Review
The integration of AI in nursing: addressing current applications, challenges, and future directions
- 132citations
- Q1SCImago
- 2025year
Short summary
AI is increasingly integrated into nursing, with current uses in clinical decision support, patient monitoring, and education, but faces barriers like technical limits, ethics, and workforce adaptation.
AI-generated from the title and abstract; the full text is not read.
Key points
- AI is currently applied in nursing for clinical decision support, patient monitoring, and education.
- Key barriers to AI integration include technical constraints, ethical dilemmas, and workforce adaptation needs.
- Gaps exist in nursing-specific AI tool development and long-term impact assessments.
- Future directions involve aligning AI with nursing needs for personalized care and robotics.
AI-generated from the title and abstract; the full text is not read.
Abstract
Artificial intelligence is increasingly influencing healthcare, providing transformative opportunities and challenges for nursing practice. This review critically evaluates the integration of AI in nursing, focusing on its current applications, limitations, and areas that require further investigation. A comprehensive analysis of recent studies highlights the use of AI in clinical decision support systems, patient monitoring, and nursing education. However, several barriers to successful implementation are identified, including technical constraints, ethical dilemmas, and the need for workforce adaptation. Significant gaps in the literature are also evident, such as the limited development of nursing-specific AI tools, insufficient long-term impact assessments, and the absence of comprehensive ethical frameworks tailored to nursing contexts. The potential of AI to reshape personalized care, advance robotics in nursing, and address global health challenges is explored in depth. This review integrates existing knowledge and identifies critical areas for future research, emphasizing the necessity of aligning AI advancements with the specific needs of nursing. Addressing these gaps is essential to fully harness AI's potential while reducing associated risks, ultimately enhancing nursing practice and improving patient outcomes.
The authors' abstract, as published at the source. Frontiers in Medicine, 2025 · DOI ↗
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Field: Health Informatics
Health InformaticsMedicine