实践中的现实世界数据集成:为什么与领域专家的沟通是关键
Lena Baum1, Marco Johns1, Armin Müller1
1Medical Informatics Group, Center of Health Data Sciences, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany.
Studies in health technology and informatics
|August 8, 2025
概括
信息基础设施通过允许数据访问来增强翻译研究. 解决数据质量和表示问题需要定制,特定于用例的解决方案,与领域专家和敏捷的ETL流程保持一致,以便有意义地重复使用数据.
科学领域:
- 医疗信息学 医疗信息学
- 翻译研究是翻译研究.
- 数据科学数据科学数据科学
背景情况:
- 信息基础设施对于翻译研究至关重要.
- 这些系统为研究人员提供了对健康数据的自助服务访问.
- 现实世界的数据集成带来了重大挑战.
研究的目的:
- 在健康数据整合中确定常见的数据质量和代表性问题.
- 为解决这些问题提出建议和最佳实践.
- 强调在数据集成中需要针对特定用例的解决方案.
主要方法:
- 在现实世界的数据集成中分析常见的数据质量和表示问题.
- 制定建议和最佳实践.
- 重点是将技术解决方案与领域专业知识和用例保持一致.
主要成果:
- 数据质量和代表性问题在健康数据整合中很普遍.
- 仅仅是技术解决方案是不够的;基于预期的用例的定制是必不可少的.
- 与领域专家的协调和敏捷的ETL流程是有意义的数据再利用的关键.
结论:
- 有效的信息基础设施需要解决数据质量和表示挑战.
- 解决方案必须针对特定的用例量身定制,并涉及领域专家.
- 敏捷的ETL流程促进了综合健康数据的有意义的再利用.
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