建立医疗保健数据仓库:考虑因素,机遇和挑战
Tamara Knezevic Ivanovski1,2, Sailish Honap3,4, Rade Matic5
1Department of Gastroenterology and Hepatology, University City Hospital Zvezdara, Belgrade, Serbia.
Frontiers in digital health
|January 1, 2026
概括
医疗保健数据仓库 (DWs) 对数据驱动的护理至关重要,它可以实现更好的临床决策和研究. 实施有效的DW支持数字时代的个性化,高质量的医疗保健.
科学领域:
- 医疗信息学 医疗信息学
- 在医疗保健中的数据科学.
- 数字化健康转型
背景情况:
- 数字化正在将医疗保健转变为数据驱动,基于证据的实践.
- 医疗保健数据仓库 (DWs) 是这一转型的核心,汇总和分析各种临床和行政数据.
- 有效的DW提高了临床决策,护理质量和研究能力.
研究的目的:
- 审查关于建立和实施医疗保健数据仓库的文献.
- 在医疗保健中引入数据仓储的真实世界,疾病特定应用.
- 证明将传统的DW设计适应国家规模的数字卫生基础设施,以BiotherDW为例.
主要方法:
- 对现有数据仓库开发和实施流程的文献审查.
- 分析理论框架和实际医疗保健应用.
- 对于国家规模的数字卫生基础设施而言,BiotherDW的案例研究.
主要成果:
- 医疗数据库为临床医生提供及时访问全面的患者数据,提高决策和护理质量.
- 疾病数据库 (DWs) 促进了人口层面的分析,预测建模和医疗服务研究,以深入了解疾病模式和系统效率.
- 成功实施DW需要仔细考虑系统架构,数据治理,互操作性和ETL/ELT框架.
结论:
- 数据仓库是个性化,高质量和具有成本效益的医疗保健的重要基础设施.
- 医疗数据驱动可扩展的研究,运营效率和基于证据的健康政策.
- 适应DW设计,就像BiotherDW一样,是国家数字卫生基础设施的关键.
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