在INTERPOLAR项目中引入数据库图表处理FHIR数据
Matthias Reusche1, Sebastian Stäubert1, Alexander Strübing1
1Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany.
Studies in health technology and informatics
|May 17, 2025
概括
国际刑警组织 (INTERPOLAR) 项目开发了一个核心数据集工具链,使用FHIR资源来分析药物问题. 这使得基于SQL的数据分析和药剂师等临床用户的反成为可能.
科学领域:
- 医疗信息学 医疗信息学
- 健康数据管理 管理健康数据
背景情况:
- 与药物相关的问题是医疗保健中的一个重大问题.
- 整合常规患者数据进行分析是具有挑战性的.
研究的目的:
- 在INTERPOLAR项目中调查与药物相关的问题.
- 开发一种工具链,用于处理例行护理中的患者数据.
主要方法:
- 设计了一个关系数据库作为核心数据集工具链的一部分.
- 处理的患者数据表示为快速医疗互操作性资源 (FHIR).
- 通过SQL启用数据访问以进行分析和报告.
主要成果:
- 简化了对患者数据的分析和报告的简单执行.
- 启用连接到电子数据捕获系统以获得用户反.
- 提供了识别和解决与药物相关问题的基础.
结论:
- 开发的工具链有效地处理基于FHIR的患者数据,用于药物问题调查.
- SQL可访问性可以提高数据分析和临床用户参与度.
- 支持德国医疗信息化倡议提高药物安全的目标.
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