A Framework to Support the Sharing and Reuse of Computable Phenotype Definitions Across Health Care Delivery and Clinical Research Applications.
A Framework to Support the Sharing and Reuse of Computable Phenotype Definitions Across Health Care Delivery and Clinical Research Applications.
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DOI：
10.13063/2327-9214.1232
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发表时间：
2016-01-01
期刊：
影响因子：
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通讯作者：
Blake Cameron, C
中科院分区：
文献类型：
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作者：
Richesson, Rachel L;Smerek, Michelle M;Blake Cameron, C
导言：能够重复地识别临床上相同的患者群体，对于学习实施和评估循证治疗的医疗保健系统的愿景至关重要。在研究和医疗保健用例中使用通用或语义等价的表型定义将支持这一目标。目前，没有用于可计算表型定义的单一统一存储库，这使得很难找到已经存在的所有定义，也阻碍了用户组之间的定义共享。方法：借鉴我们在支持多个多站点研究项目和质量改进研究的学术医学中心的经验，我们阐明了一个框架，该框架将支持跨研究和医疗保健用例共享表型定义，并突出需要关注和协作解决方案的差距和领域。FRAMEWORK：用于重新使用可计算表型定义和跨医疗保健交付和临床研究应用共享经验的基础设施包括：访问现有表型定义的集合，NEXT步骤：我们鼓励未来的研究人员和卫生管理人员在适当的情况下重新使用现有的基于EHR的条件定义，并与其他人分享他们的结果，以支持学习卫生保健的国家文化。有许多联邦资助的资源来支持这些活动，研究赞助商应该鼓励使用这些资源。
INTRODUCTION: The ability to reproducibly identify clinically equivalent patient populations is critical to the vision of learning health care systems that implement and evaluate evidence-based treatments. The use of common or semantically equivalent phenotype definitions across research and health care use cases will support this aim. Currently, there is no single consolidated repository for computable phenotype definitions, making it difficult to find all definitions that already exist, and also hindering the sharing of definitions between user groups.METHOD: Drawing from our experience in an academic medical center that supports a number of multisite research projects and quality improvement studies, we articulate a framework that will support the sharing of phenotype definitions across research and health care use cases, and highlight gaps and areas that need attention and collaborative solutions.FRAMEWORK: An infrastructure for re-using computable phenotype definitions and sharing experience across health care delivery and clinical research applications includes: access to a collection of existing phenotype definitions, information to evaluate their appropriateness for particular applications, a knowledge base of implementation guidance, supporting tools that are user-friendly and intuitive, and a willingness to use them.NEXT STEPS: We encourage prospective researchers and health administrators to re-use existing EHR-based condition definitions where appropriate and share their results with others to support a national culture of learning health care. There are a number of federally funded resources to support these activities, and research sponsors should encourage their use.