HealthPop: A geocoding, spatial workflow and contextual data integration platform

 描述（由申请人提供）：在过去的25年里，研究环境对人类健康的影响的研究出现了爆炸式增长。随着电子病历和健康信息学的大规模扩展，这项研究将继续增长。然而，空间、多层次和背景健康研究需要在专业人员、软件和数据方面进行重大投资。项目必须聘请GIS专家，购买复杂而昂贵的专有软件，开发自定义工作流程，并识别和协调来自各种来源的上下文数据。HealthPop将通过一个端到端、免费、透明、集成、基于网络的平台，使获得相关健康研究的机会民主化，该平台允许新的和有经验的研究人员和从业人员对健康和调查数据进行地理编码，并构建和访问相关变量。新的基础设施将最大限度地扩大获取机会，降低成本，最大限度地提高透明度，最大限度地减少重复努力，提高背景数据的质量，并使人口健康科学，特别是健康的社会和环境决定因素更容易复制。该项目有四个主要目标：（1）提供一个免费、安全的网络平台，使用户能够对个人一级（健康）记录进行地理编码;（2）为缓冲和聚类检测等通常执行的空间操作开发网络工作流程;（3）创建一个多样化和可扩展的背景健康数据储存库，包括可与地理编码的健康记录链接的综合、一致的元数据;以及（4）向广大用户社区（包括学生、教师、研究人员和公共卫生专业人员）提供传播、推广和培训。该项目将由在大规模数据创建、集成和传播方面具有卓越经验和熟练程度的高度积极性的研究人员团队执行，并将利用尖端技术对公共卫生数据进行地理编码和背景化，以进行创新和政策相关分析。

 DESCRIPTION (provided by applicant): The last 25 years have seen an explosion in research examining contextual effects on human health. This research will continue to grow with the massive expansion of electronic medical records and health informatics. Yet, spatial, multilevel, and contextual health research requires major investment in specialized personnel, software, and data. Projects must employ GIS specialists, purchase complex and expensive proprietary software, develop custom workflows, and identify and harmonize contextual data from a wide variety of sources. HealthPop will democratize access to contextual health research through an end-to-end, free, transparent, integrated, web-based platform that allows new and experienced researchers and practitioners to geocode health and survey data and both construct and access contextual variables. The new infrastructure will maximize access, reduce costs, maximize transparency, minimize redundant effort, improve the quality of contextual data, and make population health science, especially as regards the social and environmental determinants of health, more easily replicable. The project has four main goals: (1) To provide a free, secure web-based platform that allows users to geocode person-level (health) records; (2) To develop web-based workflows for commonly executed spatial operations such as buffering and cluster detection; (3) To create a diverse and scalable contextual health data repository, including integrated, consistent metadata, that may be linked to geocoded health records; and (4) To provide dissemination, outreach, and training to a broad user community, including students, faculty, researchers, and public health professionals. The project will be executed by team of highly-motivated researchers with exceptional experience and proficiency in large-scale data creation, integration, and dissemination and will leverage cutting-edge technology to geocode and contextualize public health data for innovative and policy- relevant analyses.