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首页> 外文期刊>International Journal of Population Data Science >Interactive Data Visualization of Patient Experience and Inpatient Datasets using Tableau Desktop
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Interactive Data Visualization of Patient Experience and Inpatient Datasets using Tableau Desktop

机译:使用Tableau Desktop的患者体验和住院数据集的交互式数据可视化

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IntroductionData visualization is a valuable means for reporting and interpreting large datasets. It allows users to present key messages from the data in a simple way. Although many industries have adopted and embedded data visualization within their analytic teams, healthcare has only recently begun to realize this potential. Objectives and ApproachThe objective of this interactive presentation is to introduce Tableau (visualization software) and to provide quick, impactful examples of its use. Visualizations will be created using a free version of Tableau Desktop; available to students and academics. Two blinded datasets encompassing hospital discharges in Alberta from April 2014 to March 2016 will be used. The first dataset will contain approximately 50,000 patient experience surveys, as completed by patients within 6 weeks of their hospital discharge. The second dataset will contain inpatient records from the Discharge Abstract Database (DAD). Visualizations will be created using the individual and combined datasets. ResultsFollowing a brief description of each dataset and its respective elements, a variety of interactive visualizations will be created in real-time. From the patient experience dataset, we will be able to quickly determine which hospitals have the highest overall rating from their patients. We will then display the results from all survey questions from a single hospital; allowing for a determination of areas where care is delivered well, and to provide opportunities for improvements. From the DAD, we will highlight hospital length of stay, and its relation with gender, age group, geography, and clinical condition. In the final portion of the presentation, both datasets will be linked to examine the relationships between survey responses, patient demographics, and clinical characteristics. Conclusion/ImplicationsData visualization has great potential in healthcare. From this presentation, attendees will receive an introduction to its use using practical, real-world examples. The dynamic visualizations in this presentation will be created in mere minutes; a small fraction of the time typically spent by analysts to create static, paper-based reports.
机译:简介数据可视化是报告和解释大型数据集的宝贵手段。它允许用户以简单的方式显示数据中的关键消息。尽管许多行业已在其分析团队中采用并嵌入了数据可视化功能,但医疗保健才刚刚开始意识到这一潜力。目标和方法此交互式演示的目的是介绍Tableau(可视化软件)并提供快速,有效的使用示例。可视化将使用免费版本的Tableau Desktop创建。提供给学生和学者。我们将使用2014年4月至2016年3月的两个盲数据集,包括艾伯塔省的出院情况。第一个数据集将包含大约50,000例患者经验调查,由患者在出院后6周内完成。第二个数据集将包含出院摘要数据库(DAD)的住院记录。可视化将使用单独的数据集和组合的数据集创建。结果在对每个数据集及其各个元素进行简短描述之后,将实时创建各种交互式可视化。从患者经验数据集中,我们将能够快速确定哪些医院的患者总体评分最高。然后,我们将显示来自同一家医院的所有调查问题的结果;确定可以很好地提供护理的领域,并提供改善的机会。在DAD中,我们将重点介绍住院时间以及其与性别,年龄组,地理位置和临床状况的关系。在演示的最后部分,两个数据集将被链接以检查调查响应,患者人口统计学和临床​​特征之间的关系。结论/意义数据可视化在医疗保健中具有巨大的潜力。通过此演示,与会者将使用实际的实际示例来介绍其用法。此演示文稿中的动态可视化将在短短几分钟内完成;分析人员通常花费很少的时间来创建静态的,基于纸张的报告。

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