POSE Phase I: Observational health data sciences and informatics (OHDSI) open source ecosystem (OSE) development

该项目由启用开放源码生态系统路径(POST)资助，旨在利用开放源码开发的力量，为国家和社会重大问题创造新的技术解决方案。观察性健康数据科学和信息学(OHDSI)是多个利益相关者、跨学科、开放科学的协作，旨在利用大规模分析来利用健康数据的价值。OHDSI的使命是通过使社区能够协作地产生促进更好的健康决策和护理的证据来改善健康。OHDSI在从数据到证据的旅程中的许多方面进行合作，包括开放社区数据标准、开放源码软件开发、开放方法学研究和开放网络临床研究。OHDSI的核心是使用基于标准的公共数据模型来创建可计算和可重复的电子健康数据分析。电子健康数据对隐私保护和数据共享有限制。OHDSI开发了将当地专有电子病历数据转换为通用格式的方法，从而允许生态系统在组织之间共享代码(分析)，并仅汇总结果数据。自2014年成立以来，OHDSI社区已经发展壮大，包括来自全球70个国家的3000名研究人员。该社区以一种通用的数据格式创建了一个由300多个站点的8.1亿份患者记录组成的研究网络。GitHub上有数百个OHDSI附属项目使用公共数据模型。该项目的目标是成熟OHDSI生态系统中的开源治理，并创建一种“OHDSI方式”。OHDSI目前在GitHub上托管了200多个开源存储库，由400多名贡献者编写了1300万行代码。该项目的具体目标是将开源治理活动正式化，开发贡献者入门计划，主办开发人员会议，并开发用于评估开源项目的健康和成熟度的指标和仪表板。该项目将通过两种方式帮助OHDSI社区在观测研究领域产生更广泛的影响。首先是启用稳定、安全的软件，这些软件可用于在医疗系统和行业内以较低的部署和维护成本进行分析。第二个是通过实现ODHSI生态系统的更大可扩展性，使软件更容易修改和扩展以实现新的目的。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project is funded by Pathways to Enable Open-Source Ecosystems (POSE) which seeks to harness the power of open-source development for the creation of new technology solutions to problems of national and societal importance. Observational Health Data Sciences and Informatics (OHDSI) is multi-stakeholder, interdisciplinary, open-science collaborative to capitalize on the value of health data using large-scale analytics. OHDSI’s mission is to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and care. OHDSI collaborates on many aspects of the journey from data to evidence, including open community data standards, open-source software development, open methodological research, and open network clinical research. The core of OHDSI is about using a standard based common data model to create computable and reproducible analysis on electronic health data. Electronic health data has privacy protections and restrictions on data sharing. OHDSI has developed methods to convert local proprietary electronic medical record data into a common format thereby allowing the ecosystem to share code (analysis) between organizations and aggregating only result data. The OHDSI community has grown since its inception in 2014 to include 3000 researchers in 70 countries around the world. The community has created a research network of 810 million patient records across 300+ sites in a common data format. There are hundreds of OHDSI-affiliated projects on github using the common data model. The goal of this project is to mature the open source governance in the OHDSI ecosystem and create an “OHDSI Way”. OHDSI currently hosts over 200 open source repositories on github with 13 million lines of code written by over 400 contributors. The specific aims of the project are to formalize open source governance activities, develop contributor onramp programs, host developers conferences, and develop metrics and a dashboard to evaluate the health and maturity of the open source projects. The project will help the OHDSI community make a broader impact into the field of observational research in two ways. The first is by enabling stable and secure software that can be used to preform analytics inside health systems and industry with a low deployment and maintenance costs. The second is by enabling greater extensibility of the ODHSI ecosystem to make the software easier to modify and extend for new purposes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.