Representing Knowledge Consistently Across Health Systems.
Representing Knowledge Consistently Across Health Systems.
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DOI：
10.15265/iy-2017-018
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发表时间：
2017-08-01
影响因子：
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通讯作者：
Denny, J C
中科院分区：
文献类型：
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作者：
Rosenbloom, S T;Carroll, R J;Denny, J C
目的：电子健康记录（EHR）越来越多地成为临床数据的强大来源，可以在研究和集成到各种健康信息技术的模块化健康应用程序中重用。这些用例的一个关键挑战是以统一的方式表示来自不同EHR系统的数据中包含的知识。方法：我们回顾了最近的几项研究，这些研究涵盖了观察性医学成果伙伴关系（OMOP）及其观察性健康数据科学和信息学计划以及美国以患者为中心的成果研究网络（PCORNet）的常见数据模型中的知识表示。我们还审查了Health Level 7 Fast Healthcare Interoperability Resource标准，该标准支持可在多个EHR和研究系统中使用的类似应用程序的程序。结果如下：最近，在支持不同机构和EHR系统之间的质量保证和标准化临床数据共享方面，高影响力的工作有所增加。我们专注于三大努力，作为迈向可共享，可传输和可计算临床数据的更大景观的一部分。结论：开发通用数据模型以支持可互操作的知识表示的方法的增长预示着支持研究的高质量临床数据的可用性越来越高。在这些努力的基础上，未来世界上很大一部分人口可能能够分享他们的研究数据。
Objectives: Electronic health records (EHRs) have increasingly emerged as a powerful source of clinical data that can be leveraged for reuse in research and in modular health apps that integrate into diverse health information technologies. A key challenge to these use cases is representing the knowledge contained within data from different EHR systems in a uniform fashion. Method: We reviewed several recent studies covering the knowledge representation in the common data models for the Observational Medical Outcomes Partnership (OMOP) and its Observational Health Data Sciences and Informatics program, and the United States Patient Centered Outcomes Research Network (PCORNet). We also reviewed the Health Level 7 Fast Healthcare Interoperability Resource standard supporting app-like programs that can be used across multiple EHR and research systems. Results: There has been a recent growth in high-impact efforts to support quality-assured and standardized clinical data sharing across different institutions and EHR systems. We focused on three major efforts as part of a larger landscape moving towards shareable, transportable, and computable clinical data. Conclusion: The growth in approaches to developing common data models to support interoperable knowledge representation portends an increasing availability of high-quality clinical data in support of research. Building on these efforts will allow a future whereby significant portions of the populations in the world may be able to share their data for research.