Interactive Visualization of Healthcare Data Using Tableau.
Interactive Visualization of Healthcare Data Using Tableau.
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DOI：
10.4258/hir.2017.23.4.349
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发表时间：
2017-10
影响因子：
2.9
通讯作者：
Chang H
中科院分区：
文献类型：
--
作者：
Ko I;Chang H
大数据分析在包括医疗保健在内的许多行业受到越来越多的关注。可视化不仅在直观地展示数据分析结果方面发挥着重要的作用，而且在数据的收集、清理、分析和共享的整个过程中也发挥着重要的作用。本文介绍了一种使用Tableau作为商业智能工具来交互可视化和分析医疗数据的过程。从安装Tableau Desktop Personal Version 10.3开始，本文通过一个例子描述了理解和可视化医疗数据的过程。结肠癌患者的样本数据来自2012年和2013年的健康保险索赔，由健康保险审查和评估服务提供。为了探索初学者使用Tableau可视化医疗保健数据，本文描述了为结肠癌患者的平均住院时间创建一个简单的视图。由于Tableau提供了各种可视化和定制，因此可以通过小倍数、视图筛选、标记卡和Tableau图表来提高分析级别。Tableau是一款软件，可以通过创建交互式可视化来帮助用户探索和理解他们的数据。该软件的优点是，它可以与几乎任何数据库结合使用，并且很容易通过拖放创建表达所需格式的交互式可视化。
Big data analysis is receiving increasing attention in many industries, including healthcare. Visualization plays an important role not only in intuitively showing the results of data analysis but also in the whole process of collecting, cleaning, analyzing, and sharing data. This paper presents a procedure for the interactive visualization and analysis of healthcare data using Tableau as a business intelligence tool. Starting with installation of the Tableau Desktop Personal version 10.3, this paper describes the process of understanding and visualizing healthcare data using an example. The example data of colon cancer patients were obtained from health insurance claims in years 2012 and 2013, provided by the Health Insurance Review and Assessment Service. To explore the visualization of healthcare data using Tableau for beginners, this paper describes the creation of a simple view for the average length of stay of colon cancer patients. Since Tableau provides various visualizations and customizations, the level of analysis can be increased with small multiples, view filtering, mark cards, and Tableau charts. Tableau is a software that can help users explore and understand their data by creating interactive visualizations. The software has the advantages that it can be used in conjunction with almost any database, and it is easy to use by dragging and dropping to create an interactive visualization expressing the desired format.