The integration of AI in nursing: addressing current applications, challenges, and future directions

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 investigati...

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Main Authors: Qiuying Wei, Songcheng Pan, Xiaoyu Liu, Mei Hong, Chunying Nong, Weiqi Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1545420/full
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author Qiuying Wei
Songcheng Pan
Songcheng Pan
Xiaoyu Liu
Mei Hong
Chunying Nong
Weiqi Zhang
author_facet Qiuying Wei
Songcheng Pan
Songcheng Pan
Xiaoyu Liu
Mei Hong
Chunying Nong
Weiqi Zhang
author_sort Qiuying Wei
collection DOAJ
description 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.
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series Frontiers in Medicine
spelling doaj-art-880f8124c029486984a1a52f88fbcb952025-02-11T06:59:42ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-02-011210.3389/fmed.2025.15454201545420The integration of AI in nursing: addressing current applications, challenges, and future directionsQiuying Wei0Songcheng Pan1Songcheng Pan2Xiaoyu Liu3Mei Hong4Chunying Nong5Weiqi Zhang6Anesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, ChinaAnesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, ChinaGuangdong Lingnan Nightingale Nursing Academy, Guangzhou, Guangdong, ChinaAnesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, ChinaAnesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, ChinaAnesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, ChinaAnesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, ChinaArtificial 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.https://www.frontiersin.org/articles/10.3389/fmed.2025.1545420/fullnursingartificial intelligencehealthcarenursing practiceintegration
spellingShingle Qiuying Wei
Songcheng Pan
Songcheng Pan
Xiaoyu Liu
Mei Hong
Chunying Nong
Weiqi Zhang
The integration of AI in nursing: addressing current applications, challenges, and future directions
Frontiers in Medicine
nursing
artificial intelligence
healthcare
nursing practice
integration
title The integration of AI in nursing: addressing current applications, challenges, and future directions
title_full The integration of AI in nursing: addressing current applications, challenges, and future directions
title_fullStr The integration of AI in nursing: addressing current applications, challenges, and future directions
title_full_unstemmed The integration of AI in nursing: addressing current applications, challenges, and future directions
title_short The integration of AI in nursing: addressing current applications, challenges, and future directions
title_sort integration of ai in nursing addressing current applications challenges and future directions
topic nursing
artificial intelligence
healthcare
nursing practice
integration
url https://www.frontiersin.org/articles/10.3389/fmed.2025.1545420/full
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