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Learning to Share Health Care Data: A Brief Timeline of Influential Common Data Models and Distributed Health Data Networks in U.S. Health Care Research

机译:学习共享医疗保健数据:美国医疗保健研究中有影响力的通用数据模型和分布式医疗数据网络的简要时间表

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摘要

The last twenty years of health care research has seen a steady stream of common health care data models implemented for multi-organization research. Each model offers a uniform interface on data from the diverse organizations that implement them, enabling the sharing of research tools and data. While the groups designing the models have had various needs and aims, and the data available has changed significantly in this time, there are nevertheless striking similarities between them. This paper traces the evolution of common data models, describing their similarities and points of departure.We believe the history of this work should be understood and preserved. The work has empowered collaborative research across competing organizations and brought together researchers from clinical practice, universities and research institutes around the planet. Understanding the eco-system of data models designed for collaborative research allows readers to evaluate where we have been, where we are going as a field, and to evaluate the utility of different models to their own work.
机译:在最近的二十年卫生保健研究中,已经看到了为多组织研究而实施的稳定的通用卫生保健数据模型。每种模型都为实施这些模型的不同组织的数据提供了统一的接口,从而可以共享研究工具和数据。尽管设计模型的小组有不同的需求和目标,并且此时可用的数据已发生了巨大变化,但是它们之间仍然存在惊人的相似性。本文追踪了通用数据模型的演变过程,描述了它们的相似性和出发点,我们认为这项工作的历史应该得到理解和保存。这项工作增强了各个竞争组织之间的协作研究能力,并将来自全球临床实践,大学和研究机构的研究人员聚集在一起。了解为协作研究而设计的数据模型的生态系统,使读者可以评估我们去过的地方,我们要去的领域,以及评估不同模型对他们自己的工作的效用。

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