Designing multiple user perspectives and functionality for clinical decision support systems

Christopher D. Buckingham, Abu Ahmed, Ann Adams

Research output: Chapter in Book/Published conference outputConference publication

Abstract

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 (www.egrist.org) 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.
Original languageEnglish
Title of host publication2013 Federated conference on Computer Science and Information Systems, FedCSIS 2013
PublisherIEEE
Pages211-218
Number of pages8
ISBN (Print)978-1-4673-4471-5
Publication statusPublished - 2013
Event2013 Federated conference on Computer Science and Information Systems - Kraków, Poland
Duration: 8 Sept 201311 Sept 2013

Conference

Conference2013 Federated conference on Computer Science and Information Systems
Abbreviated titleFedCSIS 2013
Country/TerritoryPoland
CityKraków
Period8/09/1311/09/13

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