权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

A study about development of an agent risk evaluation system using a data warehouse for pharmacoepidemiology

利用药物流行病学数据仓库开发药物风险评估系统的研究

基本信息

批准号：
13672363
负责人：
KUMAMOTO Ichiro
金额：
$ 2.62万
依托单位：
Kagoshima University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2001
资助国家：
日本
起止时间：
2001 至 2002
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-13672363/
关键词：
pharmacoepidemiology data warehouse agent risk evaluation hospital information system OLAP post marketing surveillance PMS

项目摘要

By this study, we developed a pharmacoepidemiology data warehouse system as a support system to evaluate a effect and risk of agent after marketing. This system integrated information of patient, diagnosis, prescription, injection, clinical laboratory, nursing and operation system in Kagoshima University hospital information system, and we could do analysis of medication history and a test result by this system quickly and easily. To evaluated efficiency of evaluation support features of effect and a risk of agent of this system, we extracted data of the patient who received prescription of medicine that was written as not prescribing it for a person of advanced age in a Merck manual. We extracted data from a pharmacoepidemiology data warehouse with an OLAP (On Line Analytical Processing) tool called BusinessObjects by a client PC.As a result, we were able to detect several prescription examples which fitted combination warning to a person of advanced age. The extract time of data was around 2 minutes for about 30 seconds or more. Because we did not interrupt business system even if we processed it with a pharmacoepidemiology data warehouse, we were able to execute data extraction in business time. These results seemed that the pharmacoepidemiology data warehouse was extremely superior in easy operability and a performance in data extract in comparison with business system. This system was useful as an evaluation support tool of effect and a risk of agent.

通过本研究，我们开发了药物流行病学数据仓库系统，作为评价制剂上市后效果和风险的支撑系统。该系统集成了鹿儿岛大学医院信息系统中的患者、诊断、处方、注射、检验、护理和手术系统等信息，我们可以通过该系统快速、轻松地对用药史和检查结果进行分析。为了评估该系统的效果和风险的评估支持特征的效率，我们提取了接受默克手册中写为不为高龄者开药的处方的患者的数据。我们通过客户端 PC 使用名为 BusinessObjects 的 OLAP（在线分析处理）工具从药物流行病学数据仓库中提取数据。结果，我们能够检测到几个适合老年人的组合警告的处方示例。数据提取时间约为2分钟，约30秒或更长时间。即使使用药物流行病学数据仓库进行处理，也不会中断业务系统，因此我们能够在业务时间内执行数据提取。这些结果表明，药物流行病学数据仓库与业务系统相比，在操作简便性和数据提取性能方面极其优越。该系统作为药物效果和风险的评估支持工具是有用的。