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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

以临床病例数据库为目的的处方、临床检验结果和诊断疾病分类的对象描述和实施研究

基本信息

批准号：
08672581
负责人：
KIMURA Michio
金额：
$ 1.28万
依托单位：
HAMAMATSU UNIVERSITY,SCHOOL OF MEDICINE
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1996
资助国家：
日本
起止时间：
1996 至 1997
项目状态：
已结题

项目摘要

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.

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。对分析方法和语义轴进行了研究，使其能够用于临床支持的智能数据检索。因此，处方应按疗效、用药途径和用药风格进行分类。临床实验室检测结果的检测方法、标本种类。然后，研究人员提出了一种转换方法，将滨松大学医院信息系统中出现的这三种日常交易数据转换为HL7消息数据类型。并将它们发送到面向对象的数据库中，在那里这些数据被分类并存储为对象表示。这是日本第一例将这些海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中。当天的所有数据都在当天的午夜发送到面向对象的数据库中。研究人员还开发了这一自动转换程序。临床支持面向对象数据库以其丰富的层次数据语义表示，可以进行抽象级别的检索，例如：任何服用xxx系列抗生素的患者，至少有一次GOT最高记录超过100。研究人员认为，临床信息检索中的这种抽象程度是以前从未实现过的，研究人员希望HL7在日本医院的实施将随着这一开创性实验的进行而增加，并希望在不久的将来实现真正的语义临床支持。