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KnowledgeButton: an evidence adaptive tool for CDSS and clinical research

Citation

Afzal, M and Hussein, M and Khan, WA and Ali, T and Lee, S and Kang, BH, KnowledgeButton: an evidence adaptive tool for CDSS and clinical research, 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2014) Proceedings, 23-25 July 2014, Alberobello, Italy, pp. 273-280. ISBN 978-1-4799-3019-7 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 IEEE

DOI: doi:10.1109/INISTA.2014.6873630

Abstract

Healthcare domain is continuously growing with new knowledge emerged at different levels of clinical interest. At the same time, there is an increasing interest in the use or clinical decision support systems (CDSSs) to increase the healthcare quality and efficiency. Majorly the existing CDSSs are not designed to adapt scientific research in a well-established and automatic manner. Clinicians and researchers access the online resources on frequent basis for unmet questions during the course of patient care. They usually follow a dis-integrated approach to search for their required information from resources of their interest. Additionally, there is lack of defied mechanism to integrate the relevant knowledge for future use. To overcome the disintegrated and non-automatic approach, we introduce the concept of KnowledgeButton; a comprehensive model for evidence adaption from online credible knowledge sources in a well-defined and established manner. It saves the time of clinicians spend unnecessary in searching research evidence using disintegrated and manual mechanism. In this paper, we provide architecture design, workflows, and scenarios complemented with primary results. It covers walk-through from search query generation to evaluation of search results.

Item Details

Item Type:Refereed Conference Paper
Keywords:KnowledgeButton, CDSS, research evidence, query generation, knowledge base maintenance
Research Division:Information and Computing Sciences
Research Group:Information Systems
Research Field:Information Systems not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information Services
Objective Field:Information Services not elsewhere classified
Author:Kang, BH (Professor Byeong Kang)
ID Code:98413
Year Published:2014
Deposited By:Computing and Information Systems
Deposited On:2015-02-13
Last Modified:2017-11-13
Downloads:0

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