Comparative analytics of infusion pump data across multiple hospital systems.
Comparative analytics of infusion pump data across multiple hospital systems.
复制标题
跨多个医院系统的输液泵数据的比较分析。
DOI：
10.2146/ajhp140424
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
R. Fernando
中科院分区：
文献类型：
--
作者：
A. Catlin;William X Malloy;Karen J. Arthur;C. Gaston;James Young;Sudheera R. Fernando;R. Fernando
目的
描述了一种用于对由智能输液泵生成的警报数据进行内部评估和跨设施比较的基于Web的分析系统。
总结
输液泵信息学（IPI）项目是由普渡大学的研究科学家领导的一项合作项目，于2009年启动，旨在提供先进的分析和工作流程分析工具，以帮助医院确定智能泵警报的重要性并减少滋扰警报。IPI系统允许对警报模式和趋势进行设施特定分析，并对使用不同类型智能泵的55个以上参与机构上传的警报数据进行跨设施比较。可通过IPI门户访问的工具包括（1）显示与警报相关的顶级药物的汇总或分类数据的图表、每个器械或护理区域的警报数量以及覆盖警报比率，（2）可用于以各种方式表征和分析泵编程错误的调查报告（例如，按药物、按输注类型、按一天中的时间），以及（3）“向下钻取”工作流分析，其使得用户能够以快速且有效的逐步方式评估警报模式-既在内部也与其他医院的模式相关。
结论
IPI分析系统的形成为医院社区提供了支持，成功地为成员机构提供了先进的工具，以审查，调查和有效分析智能泵警报数据，不仅在成员机构内，而且在其他成员机构中，以进一步增强智能泵药物库设计。
PURPOSE
A Web-based analytics system for conducting inhouse evaluations and cross-facility comparisons of alert data generated by smart infusion pumps is described.
SUMMARY
The Infusion Pump Informatics (IPI) project, a collaborative effort led by research scientists at Purdue University, was launched in 2009 to provide advanced analytics and tools for workflow analyses to assist hospitals in determining the significance of smart-pump alerts and reducing nuisance alerts. The IPI system allows facility-specific analyses of alert patterns and trends, as well as cross-facility comparisons of alert data uploaded by more than 55 participating institutions using different types of smart pumps. Tools accessible through the IPI portal include (1) charts displaying aggregated or breakout data on the top drugs associated with alerts, numbers of alerts per device or care area, and override-to-alert ratios, (2) investigative reports that can be used to characterize and analyze pump-programming errors in a variety of ways (e.g., by drug, by infusion type, by time of day), and (3) "drill-down" workflow analytics enabling users to evaluate alert patterns—both internally and in relation to patterns at other hospitals—in a quick and efficient stepwise fashion.
CONCLUSION
The formation of the IPI analytics system to support a community of hospitals has been successful in providing sophisticated tools for member facilities to review, investigate, and efficiently analyze smart-pump alert data, not only within a member facility but also across other member facilities, to further enhance smart pump drug library design.