皮肤仪表板:弥合FHIR标准和临床可用性之间的差距
Katarzyna Borys1,2, Eva Maria Hartmann1, Ahmad Idrissi-Yaghir1,3
1Institute for Artificial Intelligence in Medicine, Essen University Hospital, Essen, Germany.
JMIR cancer
|October 22, 2025
概括
我们创建了DermaDashboard,这是一个用于瘤学数据分析的交互工具. 它为临床医生简化了快速医疗互操作性资源 (FHIR) 数据,使队列构建和数据可视化更容易.
科学领域:
- 医疗信息学 医疗信息学
- 瘤学数据分析
- 临床数据标准化标准化
背景情况:
- 快速医疗互操作性资源 (FHIR) 对健康数据标准化至关重要.
- FHIR的复杂性阻碍了高效的队列分析,特别是对于非技术用户.
- 瘤学研究需要可访问的工具,用于探索性数据分析和可视化.
研究的目的:
- 开发一个交互式仪表板,DermaDashboard,用于探索性队列构建和数据可视化在瘤学.
- 为了使非技术用户,如临床医生,能够分析复杂的FHIR数据.
- 展示一个可行的架构,以民主化对结构化医疗保健数据的访问.
主要方法:
- 使用FHIR兼容的PostgreSQL关系数据库开发了DermaDashboard.
- 预先聚合的瘤学数据使用物质化视图进行高效的分析.
- 实现了一个可视化层和一个开源工具,用于用户友好的数据过和分析.
- 对3949名黑色素瘤患者的核心FHIR资源 (患者,诊断报告,问卷答复) 的54个属性进行了映射.
主要成果:
- 仪表板允许对29个变量进行过,以构建子队列并执行聚合分析.
- 使临床医生能够分析FHIR数据而不需要FHIR或SQL专业知识.
- 成功整合了来自3949名黑色素瘤患者的82,783份健康记录.
结论:
- DermaDashboard提供了一个用户友好的界面,用于使用FHIR数据进行瘤队列分析.
- 像FHIR这样的开放互操作性标准可以为模块化,可访问的临床仪表板提供动力.
- 这种架构为民主化结构化医疗数据获取研究和临床见解提供了实用方法.
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