Designing multiple user perspectives and functionality for clinical decision support systems


Clinical Decision Support Systems (CDSSs) need to disseminate expertise in formats that suit different end users and with functionality tuned to the context of assessment. This paper reports research into a method for designing and implementing knowledge structures that facilitate the required flexibility. A psychological model of expertise is represented using a series of formally specified and linked XML trees that capture increasing elements of the model, starting with hierarchical structuring, incorporating reasoning with uncertainty, and ending with delivering the final CDSS. The method was applied to the Galatean Risk and Safety Tool, GRiST, which is a web-based clinical decision support system ( for assessing mental-health risks. Results of its clinical implementation demonstrate that the method can produce a system that is able to deliver expertise targetted and formatted for specific patient groups, different clinical disciplines, and alternative assessment settings. The approach may be useful for developing other real-world systems using human expertise and is currently being applied to a logistics domain.

Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Computer Science
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Event Title: 2013 Federated conference on Computer Science and Information Systems
Event Type: Other
Event Dates: 2013-09-08 - 2013-09-11
ISBN: 978-1-4673-4471-5
Full Text Link: http://ieeexplo ... 6pageNumber%3D2
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2013
Authors: Buckingham, Christopher D. (ORCID Profile 0000-0002-3675-1215)
Ahmed, Abu
Adams, Ann



Version: Accepted Version

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