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REVIEW article
Front. Digit. Health
Sec. Health Technology Implementation
Volume 7 - 2025 | doi: 10.3389/fdgth.2025.1552372
This article is part of the Research Topic Advances in Artificial Intelligence Transforming the Medical and Healthcare Sectors View all articles
The Role of Artificial Intelligence in Enhancing Nursing Practice: An Integrative Review
Provisionally accepted- Almoosa College of Health Sciences, Al Ahsaa, Saudi Arabia
Background: Rapid advancements in digital technologies and artificial intelligence (AI) are transforming global healthcare, with nursing-the largest healthcare workforce-playing a pivotal role.Aim: This integrative review evaluates the integration of AI technologies in nursing practice and their impact on clinical outcomes, operational efficiency, and nursing staff well-being. Methodology: Following PRISMA 2020 guidelines, a systematic search was conducted across multiple databases for studies published up to December 2024. SPIDER framework guided the search strategy and inclusion criteria. Quality and bias were assessed using MMAT and ROBINS-I tools. Results: Eighteen studies were synthesized, revealing three main themes. First, Clinical and Therapeutic Advancements showed AI enhancing diagnostic accuracy, therapeutic interventions, and real-time patient monitoring, leading to better patient outcomes and personalized care. Second, Operational Optimization and Staff Support highlighted AI's potential to streamline workflows, automate administrative tasks, and optimize resource use, reducing nurse workload and burnout while improving job satisfaction. Finally, Ethical Implications focused on data privacy, algorithmic bias, and possible overreliance on AI. These concerns underscore the need for robust ethical frameworks and thorough training to ensure responsible, equitable implementation. Conclusion: AI integration in nursing holds significant promise for elevating patient care quality, operational efficiency, and staff well-being. Yet, addressing ethical challenges is paramount to maintaining trust and prevent healthcare disparities. Strategic recommendations include establishing comprehensive ethical guidelines, embedding AI literacy in nursing education, fostering interdisciplinary collaboration, and investing in high-quality data infrastructures.
Keywords: artificial intelligence, nursing practice, clinical outcomes, Operational efficiency, staff wellbeing, Ethical implications
Received: 27 Dec 2024; Accepted: 05 Feb 2025.
Copyright: © 2025 El Arab. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Rabie Adel El Arab, Almoosa College of Health Sciences, Al Ahsaa, Saudi Arabia
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.