Paton C, Karopka T
Yearb Med Inform. 2017 Aug;26(1):53-58. doi: 10.15265/IY-2017-006. Epub 2017 Sep 11.
To give an overview of the role of Free/Libre and Open Source Software (FLOSS) in the context of secondary use of patient data to enable Learning Health Systems (LHSs). We conducted an environmental scan of the academic and grey literature utilising the MedFLOSS database of open source systems in healthcare to inform a discussion of the role of open source in developing LHSs that reuse patient data for research and quality improvement. A wide range of FLOSS is identified that contributes to the information technology (IT) infrastructure of LHSs including operating systems, databases, frameworks, interoperability software, and mobile and web apps. The recent literature around the development and use of key clinical data management tools is also reviewed. FLOSS already plays a critical role in modern health IT infrastructure for the collection, storage, and analysis of patient data. The nature of FLOSS systems to be collaborative, modular, and modifiable may make open source approaches appropriate for building the digital infrastructure for a LHS.
概述自由/免费和开源软件（FLOSS）在患者数据二次利用以实现学习型健康系统（LHS）背景下的作用。我们利用医疗保健领域开源系统的MedFLOSS数据库对学术文献和灰色文献进行了环境扫描，以为关于开源在开发利用患者数据进行研究和质量改进的学习型健康系统中的作用的讨论提供信息。我们识别出了一系列有助于学习型健康系统信息技术（IT）基础设施建设的FLOSS，包括操作系统、数据库、框架、互操作性软件以及移动和网络应用程序。我们还回顾了近期有关关键临床数据管理工具开发和使用的文献。FLOSS已经在现代健康IT基础设施中对患者数据的收集、存储和分析发挥着关键作用。FLOSS系统具有协作性、模块化和可修改性的特点，这可能使开源方法适合于构建学习型健康系统的数字基础设施。
