{"title":"Artificial intelligence and nursing shortages: The challenges and opportunities: A narrative review","authors":"Negar Yazdani, Maryam Shaygan","doi":"10.1016/j.ijans.2026.101131","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Nurses are essential to healthcare, comprising about 56% of hospital staff. A nursing shortage harms healthcare quality and worsens with aging populations, rising demands, and burnout. Artificial intelligence (AI) offers hope to ease these challenges but faces its own limitations. This review examines how AI may help mitigate some drivers of nursing shortages, primarily through improvements in workload efficiency and task automation, while also considering the associated challenges.</div></div><div><h3>Material and methods</h3><div>A structured narrative review was conducted using the PubMed, Embase, Scopus, and Science Direct databases, with Google Scholar as a supplementary tool. The search strategy employed predefined keywords, Boolean operators, and journal-specific parameters.</div></div><div><h3>Results</h3><div>Data were extracted from 70 research articles published between 2020 and 2024 and analyzed using constant comparative analysis. The benefits of AI in addressing nursing shortages include enhanced efficiency and productivity, improved access to accurate information, support for holistic healthcare through AI, and facilitation of clinical and administrative support for nursing professionals. However, as an emerging technology, AI faces challenges such as reduced patient interaction, data privacy concerns, over-reliance on technology, data entry quality issues, and the need for adequate user training.</div></div><div><h3>Conclusions</h3><div>This review suggests that AI may offer several benefits for nursing practice, including improved efficiency, better access to information, and support for holistic care. However, several challenges remain, such as reduced patient interaction, data privacy concerns, over-reliance on technology, and the need for adequate training. Addressing these barriers appears important for the successful integration of AI into nursing. These findings highlight areas that may require attention if AI is to effectively support nursing professionals and enhance patient care.</div></div>","PeriodicalId":38091,"journal":{"name":"International Journal of Africa Nursing Sciences","volume":"26 ","pages":"Article 101131"},"PeriodicalIF":0.0000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Africa Nursing Sciences","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214139126001587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/7/6 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"Nursing","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction
Nurses are essential to healthcare, comprising about 56% of hospital staff. A nursing shortage harms healthcare quality and worsens with aging populations, rising demands, and burnout. Artificial intelligence (AI) offers hope to ease these challenges but faces its own limitations. This review examines how AI may help mitigate some drivers of nursing shortages, primarily through improvements in workload efficiency and task automation, while also considering the associated challenges.
Material and methods
A structured narrative review was conducted using the PubMed, Embase, Scopus, and Science Direct databases, with Google Scholar as a supplementary tool. The search strategy employed predefined keywords, Boolean operators, and journal-specific parameters.
Results
Data were extracted from 70 research articles published between 2020 and 2024 and analyzed using constant comparative analysis. The benefits of AI in addressing nursing shortages include enhanced efficiency and productivity, improved access to accurate information, support for holistic healthcare through AI, and facilitation of clinical and administrative support for nursing professionals. However, as an emerging technology, AI faces challenges such as reduced patient interaction, data privacy concerns, over-reliance on technology, data entry quality issues, and the need for adequate user training.
Conclusions
This review suggests that AI may offer several benefits for nursing practice, including improved efficiency, better access to information, and support for holistic care. However, several challenges remain, such as reduced patient interaction, data privacy concerns, over-reliance on technology, and the need for adequate training. Addressing these barriers appears important for the successful integration of AI into nursing. These findings highlight areas that may require attention if AI is to effectively support nursing professionals and enhance patient care.
期刊介绍:
International Journal of Africa Nursing Sciences (IJANS) is an international scientific journal published by Elsevier. The broad-based journal was founded on two key tenets, i.e. to publish the most exciting research with respect to the subjects of Nursing and Midwifery in Africa, and secondly, to advance the international understanding and development of nursing and midwifery in Africa, both as a profession and as an academic discipline. The fully refereed journal provides a forum for all aspects of nursing and midwifery sciences, especially new trends and advances. The journal call for original research papers, systematic and scholarly review articles, and critical papers which will stimulate debate on research, policy, theory or philosophy of nursing as related to nursing and midwifery in Africa, technical reports, and short communications, and which will meet the journal''s high academic and ethical standards. Manuscripts of nursing practice, education, management, and research are encouraged. The journal values critical scholarly debate on issues that have strategic significance for educators, practitioners, leaders and policy-makers of nursing and midwifery in Africa. The journal publishes the highest quality scholarly contributions reflecting the diversity of nursing, and is also inviting international scholars who are engaged with nursing and midwifery in Africa to contribute to the journal. We will only publish work that demonstrates the use of rigorous methodology as well as by publishing papers that highlight the theoretical underpinnings of nursing and midwifery as it relates to the Africa context.