基于Web的FHIR®问卷答案图形探索的原型
Johann Frei1, Florian J Auer1, Steffen Netzband1
1IT Infrastructure for Translational Medical Research, University of Augsburg, Augsburg, Germany.
AMIA ... Annual Symposium proceedings. AMIA Symposium
|January 15, 2024
概括
本研究介绍了一种基于网络的工具,用于可视化健康七级快速医疗互操作资源 (HL7 FHIR®) 中编码的分类问卷数据. 该应用程序为非技术用户提供简化访问,以探索复杂的医疗保健数据.
科学领域:
- 医疗信息学 医疗信息学
- 数据可视化 数据可视化
- 实证研究方法学 实证研究方法学
背景情况:
- 临床问卷评估对于实证研究至关重要.
- 电子健康记录使用像HL7 FHIR®这样的标准来进行数据交换和互操作性.
- 在没有专门的工具的情况下,访问和解释结构化的FHIR数据对研究来说可能是具有挑战性的.
研究的目的:
- 设计一个基于网络的图形探索工具,用于分类问卷答复数据.
- 让非技术用户能够视觉访问和解释高度结构化的FHIR数据.
- 为了促进随意的数据探索任务与用户可配置的数据子选择.
主要方法:
- 开发一个与符合FHIR的HTTP端点交互的Web应用程序.
- 实施一个通用的,用户可配置的数据分选机制.
- 基于选定的数据子集生成一维和二维图表.
主要成果:
- 为FHIR问卷答复数据开发了一个功能性的基于Web的图形探索工具.
- 该工具提供了对结构化FHIR数据的简化,直接的视觉访问.
- 原型证明了在探索合成FHIR数据中的适用性.
结论:
- 开发的工具提高了研究人员对FHIR编码的问卷数据的可访问性和可解释性.
- 它使非技术用户能够执行复杂的数据探索任务.
- 开源代码促进了更广泛的采用和进一步开发.
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