Models and inference methods for clinical systems: a principled approach.
Previous papers have argued for the existence of three different models in many clinical information systems--for the medical record, for inference in guidelines, and for concepts and re-usable facts. This paper presents a principled approach to deciding which information belongs in each model based on the nature of the queries or inference to be performed: necessary or contingent, open or closed world, algorithmic vs heuristic. It then discusses an important class of systems--"ontologically indexed knowledge bases"--and issues of metadata within this framework.
Rector
Alan L
AL
Department of Computer Science, University of Manchester, Manchester, England M13 9PL, UK.
Rogers
Jeremy
J
Taweel
Adel
A
D000043:Abstracting and Indexing; D020000:Decision Support Systems, Clinical; D007256:Information Systems; D007257:Information Theory; D008962:Models, Theoretical; D009626:Terminology as Topic; D018875:Vocabulary, Controlled