Artificial Intelligence (AI) in Nursing Services: A Literature Review

Moh Heri Kurniawan, Hanny Handiyani, Tuti Nuraini, R. S. Hariyati
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Abstract

Research on artificial intelligence (AI) in health services is increased in recent decades, demonstrating great potential for improving the quality of care. However, the application of AI in nursing raises concerns regarding data bias and the potential impacts on patients. In addition, research on AI and the benefits in nursing is still limited. The aim of this study was to outline the results of research on AI technology in nursing services. The research method was literature review. Searches for relevant studies were carried out on several databases, such as PUBMED, Scopus, and Google Scholar by using keywords and terms related to nursing, artificial intelligence, and machine learning between 2012 and 2022. The inclusion criteria included research and development or AI-based technological validation used in nursing services and the research design, including experiment or observation with qualitative, quantitative, or mixed approached. Meanwhile, the exclusion criteria were articles which are irrelevant to nursing, non-experimental, non-observational, or literature review. The results showed total of 3,713 articles found only 10 articles fulfilled the criteria. The use of AI in nursing services can provide many benefits, but it requires careful consideration too. Therefore, more research is needed to address the challenges faced and to maximize the potential of AI in improving the quality of nursing services.
人工智能在护理服务中的应用:文献综述
近几十年来,卫生服务领域的人工智能研究有所增加,显示出提高护理质量的巨大潜力。然而,人工智能在护理中的应用引发了对数据偏差和对患者潜在影响的担忧。此外,关于人工智能及其在护理中的益处的研究仍然有限。本研究的目的是概述人工智能技术在护理服务中的研究成果。研究方法为文献复习法。在PUBMED、Scopus、谷歌Scholar等多个数据库中检索相关研究,使用2012年至2022年间与护理、人工智能、机器学习相关的关键词和术语。纳入标准包括在护理服务中使用的研发或基于人工智能的技术验证,以及研究设计,包括采用定性、定量或混合方法的实验或观察。同时,排除标准为与护理无关、非实验性、非观察性或文献综述的文章。结果显示,在3713篇文章中,只有10篇文章符合标准。在护理服务中使用人工智能可以提供许多好处,但也需要仔细考虑。因此,需要更多的研究来解决面临的挑战,并最大限度地发挥人工智能在提高护理服务质量方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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