Müller R
Department of Computer Science, University of Leipzig, Germany.
Proc AMIA Annu Fall Symp. 1997:178-82.
A well-known problem of current electronic patient records in that they usually fail to represent the semantic relationships between the involved clinical data. This has to be viewed as a problem especially in the domains characterized by a complex and long-term treatment, as the medical decision making process may not be comprehensible anymore from the data entries themselves. Context representation can overcome these limitations, enabling the record to express causality, revisions, conflicts, or individual heuristics explicitly. This article introduces CLINICON which is a formal framework for domain-independent context representation based on Sowa's conceptual graphs.
当前电子病历的一个众所周知的问题是,它们通常无法表示所涉及临床数据之间的语义关系。尤其在以复杂的长期治疗为特征的领域中,这必须被视为一个问题,因为从数据条目本身来看,医疗决策过程可能不再易于理解。上下文表示可以克服这些限制,使记录能够明确表达因果关系、修订、冲突或个人启发法。本文介绍了CLINICON,它是一个基于索瓦概念图的、用于领域无关上下文表示的形式框架。