A Study of Object Description and Implementation of Prescriptions, Clinical Laboratory Test Results, and Diagnostic Disease Classifications, for the Purpose of Clinical Case Data-base

对临床病例资料的处方、临床实验室检查结果和诊断疾病分类进行对象分析。研究了分析的方法和语义轴，以便将其用于临床支持的智能数据检索。因此，处方应按疗效、用药路线和用药风格进行分类。临床实验室检验结果的检验方法和标本品种。诊断疾病的解剖部位和病理生理状态分类。然后，研究人员将滨松大学医院信息系统中出现的这三种日常交易数据全部转换为HL7消息数据类型。它们被发送到面向对象的数据库，在那里这些数据被分类并存储为对象表示。这是日本首次将大量的日常医院信息数据以标准化格式传输到临床支持数据库。一天的所有数据都在午夜发送到面向对象的数据库。通过这样做，以ICD-9-CM为基础的分类所登记的诊断性疾病，被转换为对疾病状态的SNOMED描述。研究人员还创建了这个自动转换程序。临床支持面向对象数据库具有丰富的层次数据语义表示，可以实现抽象级检索，例如“任何开过xxx系列抗生素的患者，至少有一次GOT的高记录超过100”。研究者认为，临床信息检索的这种抽象程度是前所未有的。研究人员希望HL7在日本医院的实施会增加，在这个先驱实验之后，真正的语义临床支持将在不久的将来实现。

Object analysis were applied to prescription, clinical lab test results, and diagnostic disease classifications of clinical case data. Methods and semantic axis of analysis were investigated so that they can be used for intelligent data retrieval for clinical supports. As the results, prescriptions should be categorized in effects, medication routes, and medicine styles. Clinical laboratory test results in test methods, and specimen varieties. Diagnostic disease classifications in anatomical sites, and pathophysiological states.Then, the researcher made a conversion method to change all daily transaction data of these three kinds, arose in Hamamatsu University Hospital information systems, into HL7 message data types. And they are sent to object oriented data-base, where these data are categorized and storec as object representations. This is the first case in Japan, that this huge amount of daily hospital information data transmitted into clinical support data-base in standardized format. All the day's data are sent to Object-oriented data-base in the midnight of the day. By doing this, diagnostic disease registered by ICD-9-CM based classification, are converted to SNOMED description of disease states.he researcher also created this auto-converter program.The clinical support object-oriented data-base, with its rich representation of semantics of data in hierarchies, can allow abstract level retrieval, such as "any patient who were prescribed xxx series antibiotics, with at least one time high record of GOT being more than 100." The researcher believes that this level of abstractness in clinical information retrieval has never before realized.The researcher hopes that HL7 implementation in Japanese hospitals would increase, following by this pioneer experiment, and that real semantic clinical support would realized in very near future.