直观的数据可视化用于增强患者理解
Samina Asfandiyar1,2, Shelley Hough1,2, Vivian Agugo1,2
1Cizik School of Nursing, The University of Texas Health Science Center Houston, Texas, USA.
Studies in health technology and informatics
|July 25, 2024
概括
患者更喜欢堆叠的区域图表来理解超脂血症结果,而医生更喜欢线图. 在数据可视化中以用户为中心的设计是改善患者参与和理解的关键.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 医学可视化 医学可视化
背景情况:
- 有效的健康数据沟通对于患者的理解和参与至关重要.
- 超脂血症的管理需要对LDL胆固醇等测试结果进行明确的解释.
- 现有的数据可视化方法可能无法满足不同患者的理解需求.
研究的目的:
- 探索数据可视化如何影响患者对高脂血症测试结果的理解和参与.
- 为了评估不同图形类型的患者和医疗保健提供者的偏好.
- 评估 Gestalt 理论和关系信息显示 (RID) 框架在设计健康可视化中的实用性.
主要方法:
- 一项试点研究使用Google Sheets,QlikView®和Microsoft® Excel®开发了直观的视觉工具.
- 一项患者调查使用了利克尔特尺度来评估显示LDL胆固醇数据的六个线条和条形图.
- 该研究的重点是基于理论框架创建易于解释的图形.
主要成果:
- 患者更喜欢堆叠的区域图表来理解他们的健康数据.
- 医疗保健提供者表示他们更喜欢传统的线条图.
- 该研究证实了以用户为中心的设计原则在数据可视化中的重要性.
结论:
- 量身定制的数据可视化对于提高患者对医疗保健的理解和参与至关重要.
- 这些发现强调了在医疗技术开发中需要以用户为中心的设计.
- 整合诸如Gestalt和RID之类的理论框架可以提高医学可视化的有效性.
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