College of Medicine, South Carolina Clinical & Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA.
Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA.
J Am Med Inform Assoc. 2021 Jul 14;28(7):1440-1450. doi: 10.1093/jamia/ocab023.
Integrated, real-time data are crucial to evaluate translational efforts to accelerate innovation into care. Too often, however, needed data are fragmented in disparate systems. The South Carolina Clinical & Translational Research Institute at the Medical University of South Carolina (MUSC) developed and implemented a universal study identifier-the Research Master Identifier (RMID)-for tracking research studies across disparate systems and a data warehouse-inspired model-the Research Integrated Network of Systems (RINS)-for integrating data from those systems.
In 2017, MUSC began requiring the use of RMIDs in informatics systems that support human subject studies. We developed a web-based tool to create RMIDs and application programming interfaces to synchronize research records and visualize linkages to protocols across systems. Selected data from these disparate systems were extracted and merged nightly into an enterprise data mart, and performance dashboards were created to monitor key translational processes.
Within 4 years, 5513 RMIDs were created. Among these were 726 (13%) bridged systems needed to evaluate research study performance, and 982 (18%) linked to the electronic health records, enabling patient-level reporting.
Barriers posed by data fragmentation to assessment of program impact have largely been eliminated at MUSC through the requirement for an RMID, its distribution via RINS to disparate systems, and mapping of system-level data to a single integrated data mart.
By applying data warehousing principles to federate data at the "study" level, the RINS project reduced data fragmentation and promoted research systems integration.
整合实时数据对于评估加速创新转化为医疗服务的转化研究努力至关重要。然而，通常情况下，所需的数据分散在不同的系统中。南卡罗来纳大学医学中心（MUSC）的南卡罗来纳临床与转化研究所以及转化研究所开发并实施了一个通用的研究标识符——研究主标识符（RMID），用于跟踪跨不同系统的研究；并建立了一个受数据仓库启发的模型——研究综合网络系统（RINS），用于整合来自这些系统的数据。
2017 年，MUSC 开始要求在支持人类受试者研究的信息系统中使用 RMIDs。我们开发了一个基于网络的工具来创建 RMIDs，并开发了应用程序编程接口来同步研究记录，并在系统之间可视化协议之间的联系。从这些不同系统中提取选定的数据，并在每晚合并到企业数据集市中，并创建了绩效仪表板来监测关键转化过程。
在 4 年内，创建了 5513 个 RMIDs。其中有 726 个（13%）是桥接系统，用于评估研究表现，还有 982 个（18%）与电子健康记录相关联，实现了患者级别的报告。
在 MUSC，通过要求使用 RMID、通过 RINS 将其分发给不同的系统以及将系统级数据映射到单个集成的数据集市，消除了数据碎片化对评估项目影响的障碍。
通过将数据仓库原则应用于“研究”级别的联邦数据，RINS 项目减少了数据碎片化，并促进了研究系统的整合。
