Title: A framework for assessing clinical trial informatics systems: case of caBIG and its clinical trial management system

Authors: Katherine Kosman; Amir Talaei-Khoei; Amir Hossein Ghapanchi; Pradeep Ray

Addresses: Asia-Pacific ubiquitous Healthcare Research Centre (APuHC), The University of New South Wales, Sydney, Australia. ' School of Art and Business, Sunshine Coast University, Queensland, Australia. ' School of Information and Communication Technology, Griffith University, Gold Coast Campus, Queensland, Australia; Institute for Integrated and Intelligent Systems, Griffith University, Australia. ' Asia-Pacific ubiquitous Healthcare Research Centre (APuHC), The University of New South Wales, Sydney, Australia

Abstract: Clinical trials are big business, incorporating information from many participants and situations and creating challenges in the acquisition, storage, and sharing of information amongst healthcare researchers. As institutions consider which clinical trial informatics system to choose for their capital investment, it will be important to identify an approach for choosing a satisfactory system. This paper outlines a proactive approach in helping institutions in selecting a shift to an ideal clinical trial informatics system. This approach is organised under the new acronym P3IT, consisting of product, price, people, industry context, and technology trends. This includes internal analysis to explore product attributes and price, and human resource capacity (people), as well as external analysis to explore a Porter's five forces assessment of competitor rivalry; and technology and trends (external analysis to consider future technology and trends in clinical trial informatics systems and the case study product). Using this approach, this paper then explores a case study analysis of the Cancer Biomedical Informatics Grid (caBIG), developed by the National Cancer Institute, and its Clinical Trial Management System (CTMS) workspace which uses Clinical Trials Suite software.

Keywords: Cancer Biomedical Informatics Grid; caBIG; Clinical Trial Management System; CTMS; open source data; clinical trials; personalised medicine; National Cancer Institute; NCI; clinical trial informatics; system selection; information acquisition; information storage; information sharing; healthcare information.

DOI: 10.1504/IJCIH.2012.046982

International Journal of Computers in Healthcare, 2012 Vol.1 No.3, pp.269 - 280

Published online: 30 Oct 2014 *

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