Electronic medical records ( EMR) is a challenging task of medical informatics ( MI) in order to solve the expression , organization, application in the field of medical information. Information of medical records has specific semantic requirements, mainly in professional represents of medical information and truth of the actual medical procedure. Electronic medical records can not now express dynamic semantics relationship between the concepts of pathological; it is difficult to realize semantic-based information retrieval and potential pathological findings. For this reason, we developed a electronic medical records of potential knowledge discovery systems based on knowledge element, which extract electronic medical records into the knowledge element of semantic triples form, to solve semantic reasoning and potential disease problems of the electronic medical records, to implement integrated system of treatment cases for diagnosis, instrumentation detection,treatment options. Experiment proved the system have some guidance for diseases treatment, teaching and research.%电子病历是医学信息学领域中为解决医疗信息的表达、组织、利用而提出的一个挑战性课题.医学病历信息的表示具有特定的语义要求,主要体现在医学信息的专业表示和实际的医疗过程忠实性.目前的电子病历还不能表示病理概念之间的动态语义关系,难以实现基于语义的信息检索和潜在病理发现.为此,我们开发了基于知识元的电子病历潜在知识发现系统.系统将电子病历抽取为知识元语义三元组形式,解决了电子病历语义推理和潜在疾病发现问题,实现了疾病的诊断、仪器检测、治疗方案的案例治疗的集成系统,对疾病诊治、教学和科研有一定的指导意义.
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