Long Jie, Hulse Nathan C, Tao Cui
Intermountain Healthcare, Salt Lake City, UT.
Intermountain Healthcare, Salt Lake City, UT; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
AMIA Annu Symp Proc. 2015 Nov 5;2015:852-60. eCollection 2015.
Infobuttons provide context-aware educational materials to both providers and patients and are becoming an important element in modern electronic health records (EHR) and patient health records (PHR). However, the content from different electronic resources (e-resource) as responses from infobutton manager has not been fully analyzed and evaluated. In this paper, we propose a method for automatically analyzing responses from infobutton manager. A tool is implemented to retrieve and analyze responses from infobutton manager. To test the tool, we extracted and sampled common and uncommon concepts from EHR usage data in Intermountain Healthcare's enterprise data warehouse. From the output of the tool, we evaluate infobutton performance by multiple categories, including against the most and less common used concepts, grouped by different modules in patient portal, by different e-resources, and by type of access (standardized Health Level Seven (HL7) vs not). Based on the results of our evaluation, we provide suggestions for further enhancements of infobuttons to the current implementation, including suggesting accessing priorities of e-resources and encouraging the use of the HL7 standard.
信息按钮为医疗服务提供者和患者提供情境感知教育材料，正成为现代电子健康记录（EHR）和患者健康记录（PHR）的重要组成部分。然而，作为信息按钮管理器响应的来自不同电子资源（电子资源）的内容尚未得到充分分析和评估。在本文中，我们提出了一种自动分析信息按钮管理器响应的方法。实现了一个工具来检索和分析信息按钮管理器的响应。为了测试该工具，我们从山间医疗保健公司企业数据仓库中的电子健康记录使用数据中提取并抽样了常见和不常见的概念。从该工具的输出中，我们通过多个类别评估信息按钮的性能，包括针对最常用和最少用的概念，按患者门户中的不同模块、不同电子资源以及访问类型（标准化的健康级别七（HL7）与非HL7）进行分组。基于我们的评估结果，我们为当前实施中信息按钮的进一步改进提供建议，包括建议电子资源的访问优先级并鼓励使用HL7标准。
