Advances in standardization of observational healthcare data have enabled methodological breakthroughs, rapid global collaboration, and generation of real-world evidence to improve patient outcomes. Standardizations in data structure, such as use of common data models, need to be coupled with standardized approaches for data quality assessment. To ensure confidence in real-world evidence generated from the analysis of real-world data, one must first have confidence in the data itself.

中文翻译：

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通过评估观察数据质量增加对真实世界证据的信任

观察性医疗数据标准化方面的进步促成了方法论上的突破、快速的全球合作和真实世界证据的生成，以改善患者的预后。数据结构的标准化，例如通用数据模型的使用，需要与数据质量评估的标准化方法相结合。为了确保对真实世界数据分析产生的真实世界证据的信心，人们首先必须对数据本身有信心。