Building Ocular Fast Healthcare Interoperability Resources (FHIR) Research Capacity

美国国立卫生研究院（NIH），国家眼科研究所（NEI），数据科学和健康信息学办公室（ODSHI）寻求联邦资助的健康研究和开发中心（FFRDC）运营商的帮助，以提供独立的，专家的技术，分析和主题支持。卫生FFRDC将提供及时的整合和应用的许多学科和功能专业，太广泛和复杂的收购通过个人，竞争性采购与商业承包商。 NEI ODSHI协调NEI内部、NIH和其他政府机构的现有活动，为数据收集、数据共享和数据互操作性方面的新跨机构项目提供基础。ODSHI致力于加速科学发现，促进合作研究，并通过在眼健康科学中应用科学数据和知识管理来最终改善公共健康。 NIH数据科学战略计划旨在改善生物医学数据科学生态系统，以充分利用与生物医学研究相关的大量数据，包括来自电子健康记录（EHR）和其他医疗保健相关来源的数据。最大限度地提高数据生成和访问速度可以加速生物医学发现和医学突破，从而带来更好的健康结果。NIH致力于通过解决NIH资助的生物医学数据集/资源的可查找性，互连性和互操作性，创建和整合数据管理工具，将算法和工具转化为企业就绪的资源，并降低数据管理成本，来跟上生物医学数据科学的快速变化。 作为一个跨领域的主题，数据共享对于加快将研究资源转化为知识、产品和程序以改善人类健康至关重要。它使研究人员能够更积极地测试研究结果的有效性，通过合并数据集加强分析，并探索新的前沿。 数据标准是数据可重用性的关键，使数据更容易分析，共享和组合。 具体而言，这项工作将建立FHIR的NEI校外调查人员及其机构的研究能力。这将支持ODSHI的目标，即通过增强研究数据的互操作性和可重复性，加速科学发现并促进眼睛健康科学的合作研究。 该合同的目的是为眼科社区的研究能力建设模式开发FHIR，以：支持数据共享，互操作性基础设施和人力资源的发展，以进行眼健康科学的临床和转化研究。

The National Institutes of Health (NIH), National Eye Institute (NEI), Office of Data Science and Health Informatics (ODSHI) seeks the assistance of the Health Federally Funded Research and Development Center (FFRDC) operator to provide independent, expert technical, analytical, and subject matter support. The Health FFRDC will provide the timely integration and application of many disciplines and functional specialties that are too broad and complex to acquire through individual, competitive procurements with commercial contractors. NEI ODSHI coordinates existing activities within the NEI, and across NIH, and other government agencies to provide a nidus for new trans-agency programs in data collection, data sharing and data interoperability. ODSHI works to accelerate scientific discovery, foster collaborative research, and ultimately improve public health through the application of scientific data and knowledge management in the eye health sciences. The NIH Strategic Plan for Data Science seeks to improve the biomedical data science ecosystem to fully utilize the vast amount of data relevant to biomedical research, including data from electronic health records (EHRs) and other healthcare-related sources. Maximizing data generation and access can accelerate biomedical discoveries and breakthroughs in medicine, leading to better health outcomes. NIH works to keep up with fast-paced changes in biomedical data science by addressing the findability, interconnectivity, and interoperability of NIH-funded biomedical data sets/resources, creating and consolidating data management tools, turning algorithms and tools into enterprise-ready resources, and decreasing data management costs. As a crosscutting theme, data sharing is essential for expedited translation of research resources into knowledge, products, and procedures to improve human health. It enables researchers to more vigorously test the validity of research findings, strengthen analyses by combining data sets, and explore new frontiers. Data standards are key to the reusability of data, allowing data to be more easily analyzed, shared, and combined. Specifically, this work will build FHIR for research capacity of NEI extramural investigators and their institutions. This will support ODSHI’s goals of accelerating scientific discovery and fostering collaborative research in eye health sciences through enhancing research data interoperability and reproducibility. The purpose of this contract is to develop FHIR for research capacity-building modalities for the ocular community to: Support the development of data sharing, interoperability infrastructure, and human resources required to conduct clinical and translational research in the eye health sciences.