Objective: Digital healthcare is rapidly becoming a new model for medical development in the information society with its convenience, and personalization, and a research boom in digital healthcare has formed at home ...Objective: Digital healthcare is rapidly becoming a new model for medical development in the information society with its convenience, and personalization, and a research boom in digital healthcare has formed at home and abroad in recent years. The purpose of this study is to conduct a bibliometric analysis of the field of digital healthcare and to understand the research background and development trend in this field. Methods: A visual analysis of authors, institutions, journals and keywords was conducted using CiteSpace 5.8R3 software. Results: A total of 1646 digital healthcare-related retrieved from WoS and PubMed studies. There was an overall upward trend in the number of digital healthcare publications, with the highest number of publications in 2021 (290). The author AZIZ SHEIKH is ranked first in the number of published articles (13), while King Saud University (23) is the research institution with the most articles. Keyword clustering showed that the first cluster was data security;the common high frequency keywords that appeared were systems (85), artificial intelligence (82), mobile health (70), internet (61), and technology (57). Digital healthcare, artificial intelligence, healthcare services, machine learning and deep learning are the hotspot of current research. Conclusion: This paper summarises the state of the art in digital healthcare research. Using statistical analysis and network visualisation, it highlights the background, trends and hot topics in digital healthcare research. The paper finds that there is significant potential for artificial intelligence to help bridge the digital divide and reduce health inequalities. To understand the current state, hot trends and future directions of digital healthcare research, this paper can serve as a reference. .展开更多
目的通过数字化医疗基本要素分析,构建数字化医疗应用系统体系架构,为国内外数字化医疗应用系统比较和建立数字化医疗应用系统的信息标准体系和评价体系提供依据。方法通过文献调查、专家咨询和问卷调研,提出数字化医疗的概念架构。通...目的通过数字化医疗基本要素分析,构建数字化医疗应用系统体系架构,为国内外数字化医疗应用系统比较和建立数字化医疗应用系统的信息标准体系和评价体系提供依据。方法通过文献调查、专家咨询和问卷调研,提出数字化医疗的概念架构。通过对美国退伍军人医院(United States Department of Veterans Affairs,VA)和我国华北地区17家样本医院数字化医疗应用系统及功能模块的调查,提出数字化医疗应用系统的领域和系统功能的分类体系。结果(1)数字化医疗的概念框架是在医疗系统(医疗服务机构、医疗服务机构人员、医疗服务对象、医疗服务管理等)的基础上,增加3个信息化基本要素:计算/通信技术、智能化/数字化设备、计算分析技术/通信介质;(2)医院数字化医疗应用系统分类框架,一级类目4个,分别为临床服务、管理服务、患者服务和公共基础;(3)样本医院应用系统(功能模块)调研结果显示,临床服务45个功能模块;管理服务37个功能模块;患者服务18个功能模块;公共基础31个功能模块;(4)美国VA医院4级一级类目的功能模块数量依次为63,24,9,47。结论数字化医疗的概念框架中信息化3个要素是数字化医疗应用系统开发、应用及评价的基本出发点。数字化医疗应用系统分类框架为建立数字化医疗的信息标准体系、技术标准体系和安全标准的评价提供了基础。展开更多
文摘Objective: Digital healthcare is rapidly becoming a new model for medical development in the information society with its convenience, and personalization, and a research boom in digital healthcare has formed at home and abroad in recent years. The purpose of this study is to conduct a bibliometric analysis of the field of digital healthcare and to understand the research background and development trend in this field. Methods: A visual analysis of authors, institutions, journals and keywords was conducted using CiteSpace 5.8R3 software. Results: A total of 1646 digital healthcare-related retrieved from WoS and PubMed studies. There was an overall upward trend in the number of digital healthcare publications, with the highest number of publications in 2021 (290). The author AZIZ SHEIKH is ranked first in the number of published articles (13), while King Saud University (23) is the research institution with the most articles. Keyword clustering showed that the first cluster was data security;the common high frequency keywords that appeared were systems (85), artificial intelligence (82), mobile health (70), internet (61), and technology (57). Digital healthcare, artificial intelligence, healthcare services, machine learning and deep learning are the hotspot of current research. Conclusion: This paper summarises the state of the art in digital healthcare research. Using statistical analysis and network visualisation, it highlights the background, trends and hot topics in digital healthcare research. The paper finds that there is significant potential for artificial intelligence to help bridge the digital divide and reduce health inequalities. To understand the current state, hot trends and future directions of digital healthcare research, this paper can serve as a reference. .
文摘目的通过数字化医疗基本要素分析,构建数字化医疗应用系统体系架构,为国内外数字化医疗应用系统比较和建立数字化医疗应用系统的信息标准体系和评价体系提供依据。方法通过文献调查、专家咨询和问卷调研,提出数字化医疗的概念架构。通过对美国退伍军人医院(United States Department of Veterans Affairs,VA)和我国华北地区17家样本医院数字化医疗应用系统及功能模块的调查,提出数字化医疗应用系统的领域和系统功能的分类体系。结果(1)数字化医疗的概念框架是在医疗系统(医疗服务机构、医疗服务机构人员、医疗服务对象、医疗服务管理等)的基础上,增加3个信息化基本要素:计算/通信技术、智能化/数字化设备、计算分析技术/通信介质;(2)医院数字化医疗应用系统分类框架,一级类目4个,分别为临床服务、管理服务、患者服务和公共基础;(3)样本医院应用系统(功能模块)调研结果显示,临床服务45个功能模块;管理服务37个功能模块;患者服务18个功能模块;公共基础31个功能模块;(4)美国VA医院4级一级类目的功能模块数量依次为63,24,9,47。结论数字化医疗的概念框架中信息化3个要素是数字化医疗应用系统开发、应用及评价的基本出发点。数字化医疗应用系统分类框架为建立数字化医疗的信息标准体系、技术标准体系和安全标准的评价提供了基础。
