Clinical Decision Support Systems: A Visual Survey

被引:4
|
作者
Farooq, Kamran [1 ]
Khan, Bisma S. [2 ]
Niazi, Muaz A. [2 ]
Leslie, Stephen J. [3 ]
Hussain, Amir [1 ]
机构
[1] Univ Stirling, Comp Sci & Math Div, Stirling, Scotland
[2] COMSATS Univ, Dept Comp Sci, Islamabad, Pakistan
[3] Raigmore Hosp, Inverness, Scotland
来源
基金
英国工程与自然科学研究理事会;
关键词
cardiovascular decision support systems; CiteSpace; clinical decision support system; scientometrics; visualization;
D O I
10.31449/inf.v42i4.1571
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Clinical Decision Support Systems (CDSS) form an important area of research. In spite of its importance, it is difficult for researchers to evaluate the domain primarily because of a considerable spread of relevant literature in interdisciplinary domains. Previous surveys of CDSS have examined the domain from the perspective of individual disciplines. However, to the best of our knowledge, no visual scientomefric survey of CDSS has previously been conducted which provides a broader spectrum of the domain from the perspective of multiple disciplines. While traditional systematic literature surveys focus on analysing literature using arbitrary results, visual surveys allow for the analysis of domains by using complex network-based analytical models. In this paper, we present a detailed visual survey of CDSS literature using important papers selected from highly cited sources on the Clarivate Analytics' Web of Science. Our key results include the discovery of the articles which have served as key turning points in literature. Additionally, we have identified highly cited authors and the key countries of origin of top publications. We also present the universities with the strongest citation bursts. Finally, our network analysis also identifies the key journals and subject categories both in terms of centrality and frequency. It is our belief that this paper will thus serve as an important guide for researchers as well as clinical practitioners interested in identifying key literature and resources in the domain of clinical decision support systems.
引用
收藏
页码:485 / 505
页数:21
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