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首页> 外文期刊>Journal of the American Medical Informatics Association : >Easily configured real-time CPOE Pick Off Tool supporting focused clinical research and quality improvement.
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Easily configured real-time CPOE Pick Off Tool supporting focused clinical research and quality improvement.

机译:易于配置的实时CPOE提取工具,支持重点临床研究和质量改进。

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摘要

Real-time alerting systems typically warn providers about abnormal laboratory results or medication interactions. For more complex tasks, institutions create site-wide 'data warehouses' to support quality audits and longitudinal research. Sophisticated systems like i2b2 or Stanford's STRIDE utilize data warehouses to identify cohorts for research and quality monitoring. However, substantial resources are required to install and maintain such systems. For more modest goals, an organization desiring merely to identify patients with 'isolation' orders, or to determine patients' eligibility for clinical trials, may adopt a simpler, limited approach based on processing the output of one clinical system, and not a data warehouse. We describe a limited, order-entry-based, real-time 'pick off' tool, utilizing public domain software (PHP, MySQL). Through a web interface the tool assists users in constructing complex order-related queries and auto-generates corresponding database queries that can be executed at recurring intervals. We describe successful application of the tool for research and quality monitoring.
机译:实时警报系统通常会警告提供者有关实验室结果异常或药物相互作用的信息。对于更复杂的任务,机构可以创建站点范围的“数据仓库”以支持质量审核和纵向研究。诸如i2b2或Stanford的STRIDE之类的复杂系统利用数据仓库来识别用于研究和质量监控的同类。但是,安装和维护此类系统需要大量资源。为了实现更适度的目标,仅希望确定具有“隔离”命令的患者或确定患者是否符合临床试验资格的组织,可以基于处理一个临床系统的输出而采用一种更简单,有限的方法,而不是数据仓库。我们利用公共领域的软件(PHP,MySQL)描述了一种有限的,基于订单输入的实时“提取”工具。通过Web界面,该工具可帮助用户构建与订单相关的复杂查询,并自动生成可重复执行的相应数据库查询。我们描述了该工具在研究和质量监控中的成功应用。

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