A design and prototype for a decision-support system in the field of urinary tract infections--application of OpenGALEN techniques for indexing medical information.
Differences in expert and end-user contexts may be detrimental to the use of decision-support systems. A way to attend to this problem is to triangulate decision-support methods and information sources such as in the case of the expertext system model. To organize the information contained in the system, a common domain model is suggested as a instrument for annotating information. In this paper, a design and a prototype for a decision-support system in the field of urinary tract infections using techniques and methods developed in the GALEN projects is presented.
Karlsson
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Division of Medical Informatics, Department of Biomedical Engineering, Linköpings Universitet, SE-581 85 Linköping, Sweden. Daniel.Karlsson@imt.liu.se
D000043:Abstracting and Indexing; D020000:Decision Support Systems, Clinical; D003661:Decision Support Techniques; D005103:Expert Systems; D006801:Humans; D014552:Urinary Tract Infections / Q000175:diagnosis / Q000628:therapy*; D018875:Vocabulary, Controlled