Moh Heri Kurniawan, Hanny Handiyani, Tuti Nuraini, R. S. Hariyati
{"title":"Artificial Intelligence (AI) in Nursing Services: A Literature Review","authors":"Moh Heri Kurniawan, Hanny Handiyani, Tuti Nuraini, R. S. Hariyati","doi":"10.33746/fhj.v10i01.556","DOIUrl":null,"url":null,"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.","PeriodicalId":12205,"journal":{"name":"Faletehan Health Journal","volume":"45 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Faletehan Health Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33746/fhj.v10i01.556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.