在临床数据仓库中监测实验室结果的变化,使用自动仪表板
Morgane Pierre-Jean1, Dalila Rabhi1, Denis Delamarre1
1Univ Rennes, CHU Rennes, INSERM, LTSI-UM R 1099, F-35000 Rennes, France.
Studies in health technology and informatics
|August 23, 2024
概括
本研究引入了一个使用变化点检测的自动化仪表板,用于监测医院实验室结果数据中出现的干扰. 它通过跟踪随时间的变化来提高研究数据质量和互操作性.
科学领域:
- 临床信息学 临床信息学
- 生物统计学 生物统计学
- 健康数据管理 管理健康数据
背景情况:
- 医院实验室结果是临床数据仓库 (CDW) 中的关键数据.
- 确保各机构实验室结果的互操作性对于研究和可比性至关重要.
- 现实世界的变化 (例如,新设备,不断发展的公式) 可以随着时间的推移扰乱实验室结果数据的分布.
研究的目的:
- 建议为仪表板提供自动化管道,以监测医院实验室结果中的事件和数据质量.
- 为了能够检测实验室结果数据分布中出现的干扰.
- 提高临床研究数据的互操作性和可靠性.
主要方法:
- 利用自动变化点检测方法,特别是PELT算法,用于实验室结果中的事件检测.
- 开发了一个仪表板来总结局部代码映射到LOINC (逻辑观察标识符,名称和代码) 代码.
- 包括与每个LOINC代码相关的患者人口统计数据 (性别,年龄,医院服务).
主要成果:
- 仪表板可视化了扰乱信号分布的时间事件,以获得实验室结果.
- 让生物学家能够识别和解释生物测试中的变化.
- 证明了随着时间的推移监测影响实验室结果数据的变化的能力.
结论:
- 拟议的自动化仪表板管道有效监控医院实验室结果数据中出现的干扰.
- 这种方法提高了数据质量,并支持临床研究的互操作性.
- 有助于理解影响实验室测定结果的时间数据转移.
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