Arslantaş Selma
Eldivan Vocational School of Health Services, Çankırı Karatekin University, Çankırı, Turkey.
J Health Organ Manag. 2024 Nov 21. doi: 10.1108/JHOM-06-2024-0241.
The integration of big data with artificial intelligence in the field of digital health has brought a new dimension to healthcare service delivery. AI technologies that provide value by using big data obtained in the provision of health services are being added to each passing day. There are also some problems related to the use of AI technologies in health service delivery. In this respect, it is aimed to understand the use of digital health, AI and big data technologies in healthcare services and to analyze the developments and trends in the sector.
DESIGN/METHODOLOGY/APPROACH: In this research, 191 studies published between 2016 and 2023 on digital health, AI and its sub-branches and big data were analyzed using VOSviewer and Rstudio Bibliometrix programs for bibliometric analysis. We summarized the type, year, countries, journals and categories of publications; matched the most cited publications and authors; explored scientific collaborative relationships between authors and determined the evolution of research over the years through keyword analysis and factor analysis of publications. The content of the publications is briefly summarized.
The data obtained showed that significant progress has been made in studies on the use of AI technologies and big data in the field of health, but research in the field is still ongoing and has not yet reached saturation.
RESEARCH LIMITATIONS/IMPLICATIONS: Although the bibliometric analysis study conducted has comprehensively covered the literature, a single database has been utilized and limited to some keywords in order to reach the most appropriate publications on the subject.
The analysis has addressed important issues regarding the use of developing digital technologies in health services and is thought to form a basis for future researchers.
ORIGINALITY/VALUE: In today's world, where significant developments are taking place in the field of health, it is necessary to closely follow the development of digital technologies in the health sector and analyze the current situation in order to guide both stakeholders and those who will work in this field.
大数据与人工智能在数字健康领域的整合为医疗服务提供带来了新的维度。通过利用在提供健康服务过程中获取的大数据来提供价值的人工智能技术日益增多。在健康服务提供中使用人工智能技术也存在一些问题。在这方面，旨在了解数字健康、人工智能和大数据技术在医疗服务中的应用，并分析该领域的发展和趋势。
设计/方法/途径：在本研究中，使用VOSviewer和Rstudio Bibliometrix程序对2016年至2023年间发表的191篇关于数字健康、人工智能及其子分支以及大数据的研究进行文献计量分析。我们总结了出版物的类型、年份、国家、期刊和类别；匹配了被引用最多的出版物和作者；探索了作者之间的科学合作关系，并通过对出版物的关键词分析和因子分析确定了多年来研究的演变。对出版物的内容进行了简要总结。
获得的数据表明，在健康领域使用人工智能技术和大数据的研究取得了重大进展，但该领域的研究仍在进行中，尚未达到饱和。
研究局限性/影响：尽管所进行的文献计量分析研究全面涵盖了文献，但为了找到关于该主题最合适的出版物，使用了单一数据库并限于某些关键词。
该分析解决了关于在健康服务中使用发展中的数字技术的重要问题，并被认为为未来的研究人员奠定了基础。
原创性/价值：在当今健康领域发生重大发展的世界中，有必要密切关注健康部门数字技术的发展并分析当前形势，以指导利益相关者和将在该领域工作的人员。
