Wagholikar Kavishwar B, Jain Rahul, Oliveira Eliel, Mandel Joshua, Klann Jeffery, Colas Ricardo, Patil Prasad, Yadav Kuladip, Mandl Kenneth D, Carton Thomas, Murphy Shawn N
Massachussetts General Hospital, Boston, MA.
Harvard Medical School, Boston, MA.
AMIA Jt Summits Transl Sci Proc. 2017 Jul 26;2017:302-307. eCollection 2017.
Research networks for data sharing are growing into a large platform for pragmatic clinical trials to generate quality evidence for shared medical decision-making. Institutions partnering in the networks have made large investments in developing the infrastructure for sharing data. We investigate whether institutions partnering on Patient-Centered Outcomes Research Institute's (PCORI) network can share clinical apps. At two different sites, we imported patient data in PCORI's clinical data model (CDM) format into i2b2 repositories, and adapted the SMART-on-FHIR cell to perform CDM-to-FHIR translation, serving demographics, laboratory results and diagnoses. We performed manual validations and tested the platform using four apps from the SMART app gallery. Our study demonstrates an approach to extend the research infrastructure to allow the partnering institutions to run shared clinical apps, and highlights the involved challenges. Our results, tooling and publically accessible data service can potentially transform research networks into clinical app sharing networks and pave the way towards a learning health system.
用于数据共享的研究网络正在发展成为一个大型的务实临床试验平台，以生成高质量证据用于共享医疗决策。参与网络合作的机构已在开发数据共享基础设施方面投入了大量资金。我们调查了参与患者为中心的结果研究所（PCORI）网络的机构是否能够共享临床应用程序。在两个不同的地点，我们将PCORI临床数据模型（CDM）格式的患者数据导入到i2b2存储库中，并对SMART-on-FHIR单元进行了调整，以执行CDM到FHIR的转换，提供人口统计学、实验室结果和诊断信息。我们进行了人工验证，并使用来自SMART应用程序库的四个应用程序对该平台进行了测试。我们的研究展示了一种扩展研究基础设施的方法，使合作机构能够运行共享临床应用程序，并突出了其中涉及的挑战。我们的结果、工具和公开可用的数据服务有可能将研究网络转变为临床应用程序共享网络，并为学习型健康系统铺平道路。
