Discovery and Visualization of New Information from Clinical Reports in the EHR

EHR 中临床报告的新信息的发现和可视化

• 批准号: 8476978
• 负责人: Genevieve B Melton-Meaux
• 金额: $ 48.27万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-30 至 2017-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8476978
• 关键词: Discovery; Visualization; New; Information; Clinical

PROJECT SUMMARY Electronic Health Record (EHR) systems improve patient care by reducing redundancy in prescribing and computerized ordering but paradoxically also generate other types of information redundancy that lead to information overload. This presents a challenge for clinicians in providing safe and effective care especially with complex patients requiring synthesis of many clinical elements across a lengthy medical history. We hypothesize that provider usage of clinical notes can be supported through refinement of automated methods to detect new information, facilitation of new information visualization in practice, and EHR clinical note interface optimization. While there is much interest in supporting evidence-based medicine, little attention has been given to assisting clinicians in navigating and synthesizing growing amounts of electronic data for individual patients. Unstructured narrative text is an important part of modern EHRs. Text allows clinicians to communicate complex and nuanced information in a manner that is easily comprehended by others. While analyzing a collection of patient's notes can be formidable, it is necessary for making diagnostic and therapeutic decisions. Currently, this process is hindered by many factors, including large amounts of redundant information in these texts, increasing numbers of documents, suboptimal user interface (UI) design, and limited time to interact with patients. There is a critical need to optimize the use of EHR clinical notes for providers, which we propose to address in three aims: 1) Refine computational methods to identify new information in clinical notes, 2) Assess the effect of visualizing new information in clinical notes in an inpatient hospitalist setting, and 3) Discover elements of a rationally designed EHR graphical UI to facilitate clinical document usage in practice. Successful accomplishment of these aims will lay a foundation to make clinicians more efficient, improve decision-making, decrease cognitive load, and potentially increase clinician satisfaction associated with using clinical documents in EHR systems.

项目摘要 电子健康记录（EHR）系统通过降低冗余来改善患者护理 在开处方和计算机订购时，矛盾的是，也会生成其他类型的 导致信息超载的信息冗余。这给 临床医生提供安全有效的护理，尤其是在需要的复杂患者中 在冗长的病史中综合了许多临床元素。我们假设这一点 提供者使用临床笔记可以通过完善自动化来支持 检测新信息，促进新信息可视化的方法， 和EHR临床注意接口优化。虽然有很大的兴趣支持 循证医学，很少关注协助临床医生 为个别患者导航和合成不断增长的电子数据。 非结构化的叙事文本是现代EHR的重要组成部分。文字允许临床医生 以一种容易理解的方式传达复杂和细微的信息 别人。在分析一系列患者笔记的同时，有必要 用于做出诊断和治疗决定。目前，此过程受到 许多因素，包括这些文本中的大量冗余信息，增加 文档数量，次优的用户界面（UI）设计以及互动的有限时间 与患者。对于优化EHR临床注释的使用至关重要 提供商，我们建议以三个目的解决：1）将计算方法改进 在临床注释中确定新信息，2）评估可视化新信息的效果 临床注释中住院医生的信息，3）发现 合理设计的EHR图形UI，可在实践中促进临床文档使用情况。 这些目标的成功完成将奠定基础，使临床医生更多 有效，改善决策，减少认知负担并可能增加 临床医生的满意度与在EHR系统中使用临床文件有关。