HARVEST, a longitudinal patient record summarizer.

HARVEST, a longitudinal patient record summarizer.
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收获,纵向患者记录摘要。

DOI:
10.1136/amiajnl-2014-002945
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发表时间:
2015-03
期刊:
Journal of the American Medical Informatics Association : JAMIA
影响因子:
--
通讯作者:
Elhadad N
Elhadad N
中科院分区:
其他
文献类型:
--
作者:
Hirsch JS;Tanenbaum JS;Lipsky Gorman S;Liu C;Schmitz E;Hashorva D;Ervits A;Vawdrey D;Sturm M;Elhadad N

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目的描述HARVEST,一种新型的床旁病人总结和可视化工具,并进行形成性评价研究,以评估其有效性并收集反馈,以进行迭代改进。材料和方法收获是一个基于问题的,交互式的,时间可视化的纵向病人的记录。使用可扩展的分布式自然语言处理和问题显著性计算,该系统从患者笔记中提取内容,并从多个护理环境中聚合和呈现信息。临床可用性由医生参与者使用定时、基于任务的图表审查和问卷进行评估,记录条件之间的性能差异(标准数据审查系统和HARVEST)。结果HARVEST使用时间轴纵向显示患者信息,从笔记中提取问题云,并集中访问临床文档。尽管对HARVEST不熟悉,但当使用基于任务的评价时,在我们机构单独使用HARVEST或标准临床信息系统的患者审查场景中,性能和任务完成时间得以保持。受试者对HARVEST非常满意,并对在日常实践中使用该系统感兴趣。Discussion HARVEST可在我们机构广泛部署。评价为今后的改进提供了有益的反馈和方向。结论HARVEST旨在解决临床医生在护理点未满足的需求,促进对重要患者信息的审查。在我们的机构中部署HARVEST使我们能够在现实环境中研究患者记录摘要作为信息学干预。它还提供了一个学习临床医生如何使用摘要器的机会,使知情的界面和内容迭代和优化,以改善患者护理。
Objective To describe HARVEST, a novel point-of-care patient summarization and visualization tool, and to conduct a formative evaluation study to assess its effectiveness and gather feedback for iterative improvements. Materials and methods HARVEST is a problem-based, interactive, temporal visualization of longitudinal patient records. Using scalable, distributed natural language processing and problem salience computation, the system extracts content from the patient notes and aggregates and presents information from multiple care settings. Clinical usability was assessed with physician participants using a timed, task-based chart review and questionnaire, with performance differences recorded between conditions (standard data review system and HARVEST). Results HARVEST displays patient information longitudinally using a timeline, a problem cloud as extracted from notes, and focused access to clinical documentation. Despite lack of familiarity with HARVEST, when using a task-based evaluation, performance and time-to-task completion was maintained in patient review scenarios using HARVEST alone or the standard clinical information system at our institution. Subjects reported very high satisfaction with HARVEST and interest in using the system in their daily practice. Discussion HARVEST is available for wide deployment at our institution. Evaluation provided informative feedback and directions for future improvements. Conclusions HARVEST was designed to address the unmet need for clinicians at the point of care, facilitating review of essential patient information. The deployment of HARVEST in our institution allows us to study patient record summarization as an informatics intervention in a real-world setting. It also provides an opportunity to learn how clinicians use the summarizer, enabling informed interface and content iteration and optimization to improve patient care.
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