Title :
User-centred and driven knowledge-based systems for clinical support using ripple down rules
Author :
Richards, Debbie
Author_Institution :
Dept. of Comput., Macquarie Univ., Sydney, NSW, Australia
Abstract :
Ripple down rules (RDR) are a case based reasoning technique that have been developed in answer to the need to provide a way of maintaining large KBS in domains where knowledge and practice are continually being reviewed. RDR are based on the view that knowledge is not an artifact but something that is "made-up" to fit a particular situation. In keeping with this, maintenance and context are key issues. RDR offer a number of features that make it particularly suitable for clinical support. These features are: knowledge is captured, changed and validated within the local context of cases; KA is simple and designed to be performed by the domain expert; and the use of cases, difference lists and the exception structure are intuitive and natural for experts. In medical domains, ownership and control of knowledge are seen as important issues and the ability to build a KBS without the need for a knowledge engineer is a real plus. The ease of developing and maintaining an RDR KBS means that it is feasible for individual pathology laboratories to customise the system to suit the local knowledge which they contain. The paper describes RDR, how they provide an environment for interacting with the knowledge according to the decision situation of the user and some results-to-date in the area of pathology.
Keywords :
case-based reasoning; interactive systems; knowledge acquisition; medical diagnostic computing; medical expert systems; user interfaces; RDR KBS; case based reasoning technique; clinical support; decision situation; difference lists; domain expert; exception structure; knowledge capture; knowledge engineer; large KBS maintenance; local knowledge; medical domains; pathology laboratories; ripple down rules; user centred knowledge based systems; Content addressable storage; Context-aware services; Control systems; Ergonomics; Hip; Identity-based encryption; Knowledge based systems; Laboratories; Medical expert systems; Pathology;
Conference_Titel :
System Sciences, 2000. Proceedings of the 33rd Annual Hawaii International Conference on
Print_ISBN :
0-7695-0493-0
DOI :
10.1109/HICSS.2000.926787