Clinical Decision Support Systems: A Visual Survey

Farooq, Kamran; Khan, Bisma S.; Niazi, Muaz A.; Leslie, Stephen J.; Hussain, Amir

Abstract

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 scientometric 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 analyzing 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 country 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.

Citation

Farooq, K., Khan, B. S., Niazi, M. A., Leslie, S. J., & Hussain, A. (2018). Clinical Decision Support Systems: A Visual Survey. Informatica, 42(4), 485-505. https://doi.org/10.31449/inf.v42i4.1571

• Journal Article Type: Article
• Online Publication Date: Jun 14, 2018
• Publication Date: 2018-12
• Deposit Date: Jul 19, 2019
• Publicly Available Date: Jul 19, 2019
• Journal: Informatica
• Print ISSN: 0868-4952
• Electronic ISSN: 0350-5596
• Publisher: IOS Press
• Peer Reviewed: Peer Reviewed
• Volume: 42
• Issue: 4
• Pages: 485-505
• DOI: https://doi.org/10.31449/inf.v42i4.1571
• Public URL: http://researchrepository.napier.ac.uk/Output/1978443
• Contract Date: Jul 19, 2019