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Models and Inference Methods for Clinical Systems: A Principled Approach
Alan L Rector, Jeremy Rogers, Adel Taweel
79 - 83
10.3233/978-1-60750-949-3-79
Studies in Health Technology and Informatics
Volume 107: MEDINFO 2004
Abstract

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 reusable 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

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