探索数据驱动的医院资源对运营绩效的影响:一个系统的文献审查
1School of Health Information Science, University of Victoria.
Studies in health technology and informatics
|August 8, 2025
概括
这一系统的文献审查揭示了医疗保健数据资源和高级分析如何推动组织绩效. 关键主题包括数据文化,数据仓储和人力资本管理,以改善结果.
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
- 组织管理 组织管理
背景情况:
- 医疗机构越来越多地依赖数据来提高绩效.
- 先进的分析提供了优化医疗保健运营的潜力.
- 了解数据资源的影响对于战略发展至关重要.
研究的目的:
- 系统地审查有关医疗保健数据驱动资源的文献.
- 探索这些资源对先进分析开发的影响.
- 通过数据分析识别提高组织绩效的因素.
主要方法:
- 进行了系统文献审查 (SLR).
- 分析了26项专注于数据资源和医疗保健分析的研究.
- 在主题上将发现综合到关键领域.
主要成果:
- 确定了影响先进分析和性能的三个主要主题:数据驱动文化,数据仓库技术和人力资本管理.
- 强调了这些主题在有效利用数据方面的相互联系.
- 展示了数据驱动资源在提升分析能力方面的作用.
结论:
- 数据驱动的文化,强大的数据仓储和熟练的人力资本对于最大限度地提高医疗保健中的组织绩效至关重要.
- 结果为未来的健康数据分析研究提供了基础.
- 为健康信息学和管理领域的理论和实证发展做出贡献.
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