物联网(IoT)技术最近因其缓解医疗保健系统面临的挑战的潜力而受到关注。例如人口老龄化和慢性病增加导致的疾病,强调了智能医疗的重要性。令人惊讶的是,迄今为止,尚未对该主题进行文献计量学研究。因此,这项调查旨在全面概述物联网在智能医疗中的纵向状态和知识结构。为了实现这一点,内容分析工具用于学术研究,促进确定关键研究主题,研究课题的成长轨迹,顶级期刊来源,以及基于学科领域的国家分布。文献计量评估涵盖了2016年至2022年期间在14种期刊上发表的614种出版物。采用书目耦合分析,物联网的最新发展已经在智能医疗领域被发现。研究结果揭示了11个主要研究主题领域,这些领域在此期间一直是学术话语的焦点。这项研究强调,计算范式和网络连接成为该研究领域中最突出的主题。基于区块链的医疗保健安全紧随其后,成为学者们讨论的第二大话题。此外,分析表明,最热门主题的总出版物显着增加,在2018年左右达到顶峰。
The recent attention garnered by Internet of Things (IoT) technology for its potential to alleviate challenges faced by healthcare systems, such as those resulting from an aging population and the rise in chronic illnesses, has underscored the significance of smart healthcare. Surprisingly, no bibliometric
study has been conducted on this subject to date. Consequently, this investigation aims to provide a comprehensive overview of the longitudinal state and knowledge structure of IoT in smart healthcare. To achieve this, a content analysis tool is employed for academic research, facilitating the identification of key
study themes, the growth trajectory of the research topic, the top journal sources, and the distribution of nations based on subject areas. The bibliometric evaluation encompasses 614 publications published in 14 journals spanning the period from 2016 to 2022. Employing bibliographic coupling analysis, the latest developments in IoT have been uncovered within the domain of smart healthcare. The findings reveal 11 primary research topic areas that have been the focus of scholarly discourse during this period. This
study highlights that the computing paradigm and network connectivity emerge as the most prominent topics within this research domain. Blockchain-based security in healthcare closely follows as the second-largest topic discussed by scholars. Additionally, the analysis indicates a significant increase in total publications for the most popular topic, peaking around 2018.