Designing multiple user perspectives and functionality for clinical decision support systems

Document Type
Conference
Author
C.D. Buckingham, A. Ahmed, & A. Adams
Description

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 deliv-
ering 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.

Publication Date
Tue, 2013-01-01 00:00
Publication Title
PROCEEDINGS OF THE FEDCSIS, IEEE Xplore
Pages
211-218