数据湖,数据仓库,数据商店和功能存储:它们对完整的数据重用管道的贡献
Antoine Lamer1,2,3, Chloé Saint-Dizier1,2, Nicolas Paris3
1Univ. Lille, CHU Lille, ULR 2694-METRICS, Centre d'Etudes et de Recherche en Informatique Médicale, Lille, France.
JMIR medical informatics
|July 22, 2024
概括
医疗信息技术产生了大量的临床数据. 数据仓库,数据湖,数据中心和功能商店对于标准化和重用这些健康数据进行研究和分析至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
- 临床研究 临床研究
背景情况:
- 医疗信息技术的采用产生了大量的电子临床数据.
- 由于格式,词汇和标识符不一致,跨系统的数据碎片化阻碍了交叉引用.
研究的目的:
- 探索克服数据碎片化挑战的策略.
- 突出各种数据管理架构在促进研究再利用健康数据方面的作用.
主要方法:
- 审查医疗保健中的数据整合和标准化技术.
- 讨论数据仓库,数据湖,数据中心和数据管理的功能存储.
主要成果:
- 数据仓库整合和标准化用于研究的数据.
- 数据湖存储原始数据和元数据,用于灵活的探索.
- 数据中心为特定的研究问题改进数据,功能商店优化数据进行分析.
结论:
- 数据仓库对于健康数据管理至关重要.
- 数据湖,数据商店和功能商店是必要的补充工具,使健康数据在研究和分析中能够有效地重复使用.
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