Department of Pediatrics, University of Colorado, Aurora, Colorado;
Pediatrics. 2014 Mar;133(3):516-25. doi: 10.1542/peds.2013-1504. Epub 2014 Feb 17.
Longitudinal observational clinical data on pediatric patients in electronic format is becoming widely available. A new era of multi-institutional data networks that study pediatric diseases and outcomes across disparate health delivery models and care settings are also enabling an innovative collaborative rapid improvement paradigm called the Learning Health System. However, the potential alignment of routine clinical care, observational clinical research, pragmatic clinical trials, and health systems improvement requires a data infrastructure capable of combining information from systems and workflows that historically have been isolated from each other. Removing barriers to integrating and reusing data collected in different settings will permit new opportunities to develop a more complete picture of a patient's care and to leverage data from related research studies. One key barrier is the lack of a common terminology that provides uniform definitions and descriptions of clinical observations and data. A well-characterized terminology ensures a common meaning and supports data reuse and integration. A common terminology allows studies to build upon previous findings and to reuse data collection tools and data management processes. We present the current state of terminology harmonization and describe a governance structure and mechanism for coordinating the development of a common pediatric research terminology that links to clinical terminologies and can be used to align existing terminologies. By reducing the barriers between clinical care and clinical research, a Learning Health System can leverage and reuse not only its own data resources but also broader extant data resources.
电子格式的儿科患者纵向观察临床数据正变得广泛可用。新的多机构数据网络时代正在研究儿科疾病和不同医疗服务模式和护理环境下的结果,也正在启用一种名为学习型医疗系统的创新协作快速改进模式。然而,常规临床护理、观察性临床研究、实用临床试验和医疗系统改进的潜在一致性需要一个数据基础设施,能够将来自历史上相互隔离的系统和工作流程的信息结合起来。消除整合和重复使用在不同环境中收集的数据的障碍,将为更全面地了解患者的护理情况并利用相关研究数据提供新的机会。一个关键障碍是缺乏通用术语,该术语为临床观察和数据提供统一的定义和描述。一个特征良好的术语确保了通用含义,并支持数据的重复使用和集成。通用术语允许研究在先前的发现基础上进行,并重复使用数据收集工具和数据管理流程。我们展示了术语协调的现状,并描述了一个治理结构和机制,用于协调开发一个链接到临床术语并可用于对齐现有术语的通用儿科研究术语。通过减少临床护理和临床研究之间的障碍,学习型医疗系统不仅可以利用和重复使用自己的数据资源,还可以利用更广泛的现有数据资源。