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: 8739634
• 负责人: Genevieve B Melton-Meaux
• 金额: $ 48.71万
• 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 2015-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8739634
• 关键词: Discovery; Visualization; New; Information; Clinical

DESCRIPTION (provided by applicant): 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.

描述（由申请人提供）：电子健康记录 (EHR) 系统通过减少处方和计算机化排序中的冗余来改善患者护理，但矛盾的是，它也会产生导致信息过载的其他类型的信息冗余。这对临床医生提供安全有效的护理提出了挑战，特别是对于需要综合漫长病史中许多临床要素的复杂患者。我们假设可以通过改进检测新信息的自动化方法、促进实践中的新信息可视化以及 EHR 临床记录界面优化来支持提供者对临床记录的使用。尽管人们对支持循证医学很感兴趣，但很少有人关注协助临床医生导航和合成个体患者越来越多的电子数据。非结构化叙述文本是现代电子病历的重要组成部分。文本允许临床医生以易于他人理解的方式传达复杂而细致的信息。虽然分析患者笔记的集合可能很困难，但它对于做出诊断和治疗决策是必要的。目前，这一过程受到许多因素的阻碍，包括文本中存在大量冗余信息、文档数量不断增加、用户界面（UI）设计欠佳以及与患者互动的时间有限。迫切需要 优化提供者对 EHR 临床记录的使用，我们建议解决三个目标：1) 完善计算方法以识别临床记录中的新信息，2) 评估在住院医院环境中可视化临床记录中新信息的效果，和 3) 发现合理设计的 EHR 图形 UI 的元素，以促进临床文档在实践中的使用。这些目标的成功实现将为临床医生提高效率、改善决策、减少认知负荷奠定基础，并可能提高临床医生在 EHR 系统中使用临床文档的满意度。