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临床数据可视化:现状与未来需求

Clinical Data Visualization: The Current State and Future Needs.

作者信息

Wanderer Jonathan P, Nelson Sara E, Ehrenfeld Jesse M, Monahan Shelby, Park Soojin

机构信息

Vanderbilt University, 1301 Medical Center Drive, The Vanderbilt Clinic, Suite 4648, Nashville, TN, 37232, USA.

Vanderbilt University Medical Center, 1211 21st Avenue South, Medical Arts Building, Nashville, TN, 37212, USA.

出版信息

J Med Syst. 2016 Dec;40(12):275. doi: 10.1007/s10916-016-0643-x. Epub 2016 Oct 27.

DOI:10.1007/s10916-016-0643-x
PMID:27787779
Abstract

The growing volume of clinical data in modern medical practice creates difficulties for clinicians when attempting to come to a full understanding of each patient's overall health status. Many different approaches to computer-based visualizations have been taken in an attempt to alleviate this burden; however, no single approach has been widely adopted. As a step towards optimization and standardization of data visualization in healthcare, this paper presents a diverse set of approaches to visualization for multiple organ systems. To do so we summarize best practices in design and evaluation while proposing usability testing methodology. We then review and illustrate the goals of various clinical data visualization techniques.

摘要

现代医学实践中临床数据量的不断增长给临床医生全面了解每位患者的整体健康状况带来了困难。为了减轻这一负担,人们采用了许多不同的基于计算机的可视化方法;然而,没有一种方法得到广泛采用。作为朝着医疗保健数据可视化的优化和标准化迈出的一步,本文提出了针对多个器官系统的多种可视化方法。为此,我们总结了设计和评估中的最佳实践,同时提出了可用性测试方法。然后,我们回顾并阐述了各种临床数据可视化技术的目标。

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本文引用的文献

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BMJ Open. 2016 Mar 24;6(3):e010579. doi: 10.1136/bmjopen-2015-010579.
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SMART on FHIR: a standards-based, interoperable apps platform for electronic health records.基于快速医疗互操作性资源的智能医疗:一个用于电子健康记录的基于标准的、可互操作的应用程序平台。
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Evaluation of the effect of information integration in displays for ICU nurses on situation awareness and task completion time: A prospective randomized controlled study.
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Reporting of confidence intervals, achievement of intended sample size, and adjustment for multiple primary outcomes in randomised trials of physical therapy interventions: an analysis of 100 representatively sampled trials.物理治疗干预随机试验中报告置信区间、实现预期样本量和调整多个主要结局:对 100 个具有代表性样本试验的分析。
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