FHIRCat: Enabling the Semantics of FHIR and Terminologies for Clinical and Translational Research

FHIRCat：为临床和转化研究提供 FHIR 语义和术语

• 批准号: 10401244
• 负责人: Guoqian Jiang
• 金额: $ 67.82万
• 依托单位: MAYO CLINIC ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-15 至 2025-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10401244
• 关键词: Automation; Catalogs; Clinical; Clinical Data; Clinical Research; Collection; Communities; Data; Data Discovery; Data Set; Data Sources; Databases; Electronic Health Record; Extensible Markup Language; Face; Fast Healthcare Interoperability Resources; Foundations; Future; Genetic; Geography; Goals; Health; Healthcare; Human; Informatics; Information Resources; Institution; Language; Link; Modeling; Ontology; Outcome; Publishing; Readability; Reference Standards; Reproducibility; Research; Research Personnel; Resource Description Framework; Resources; Semantics; Shapes; Slice; Source; Standardization; Structure; System; Technology; Terminology; Translational Research; Validation; Vendor; Vision; Vocabulary; base; clinical data repository; community engagement; computer based Semantic Analysis; data access; data integration; data management; data modeling; data repository; data resource; data sharing; data standards; design; information model; interoperability; next generation; novel; open data; open source; open source tool; success; tool

Project Summary HL7 Fast Healthcare Interoperability Resources (FHIR) is an emerging next generation standard framework for the exchange of electronic health record (EHR) data. The FHIR specification defines a common vocabulary and mechanism for sharing EHR data independent of how it is actually stored. All of the major EHR vendors are developing standardized FHIR interfaces to their clinical data. One of the exciting aspects of FHIR is that it is among the first clinical data standards to incorporate the vision of the “Semantic Web” described by Tim Berners-Lee in his oft cited article from 2001. In the article, he asserts that the Semantic Web is the next "killer app" and outlines a formula for success: 1) Represent information and meaning in a single, universal format - Resource Description Framework (RDF); 2) Create a catalog of URIs that serve as shared identifiers for the RDF representation in a given context of use; and 3) Create tools for transforming existing data and knowledge resources into the universal language of RDF and URIs. This allows information from disparate sources and structures to be combined into a single, federated collection of “linked open data”. This linked data model allows clinical data to be combined with other linked data such as environmental, genetic, geographic, and any other relevant data and to be analyzed as an integrated whole. We have previously demonstrated that the combination of RDF, OWL semantics, and the Shape Expressions (ShEx) schema language could theoretically provide a robust platform for integrating disparate data models and paradigms under a single, resource oriented collection of interfaces. The objective of this project is to design, develop and evaluate a novel informatics platform known as FHIRCat that leverages Semantic Web technologies, FHIR models/profiles, and ontologies for effective standards-based data integration and distributed analytics, enabling high-quality reproducible clinical and translational research. Our specific aims are: 1) Develop FHIR ShEx/RDF specification and tools for FHIR data validation; 2) Standardize and deploy the RDF-based data transformation between external models and FHIR; and 3) Build and evaluate a FHIR ontology-based data access (OBDA) system interoperable with clinical data repositories across institutions in partnership with the CTSA National Center for Data to Health (CD2H). The outcome of the project makes it possible to realize Berners-Lee’s vision for healthcare in the very near future, in turn creating new opportunities for advancing the automation of FHIR- based clinical data integration and sharing, and accelerating standards-based data discovery and distributed analytics in clinical and translational research. 1

项目摘要 HL7快速医疗保健互操作性资源（FHIR）是新兴的下一代标准框架 电子健康记录（EHR）数据的交换。 FHIR规范定义了一个常见的词汇 和共享EHR数据的机制与实际存储方式无关。所有主要的EHR供应商 正在为其临床数据开发标准化的FHIR接口。 FHIR令人兴奋的方面之一是 是纳入蒂姆描述的“语义网”愿景的第一个临床数据标准之一 Berners-Lee在2001年的唯一引用的文章中。在文章中，他断言语义网是下一个“杀手 应用程序“并概述了成功的公式：1）以一种通用格式表示信息和含义 - 资源说明框架（RDF）; 2）创建一个URI目录，以作为共享标识符 在给定的使用上下文中的RDF表示； 3）创建用于转换现有数据和知识的工具 资源进入RDF和URI的通用语言。这允许来自不同来源的信息， 将组合成“链接开放数据”的单一联合收藏的结构。这个链接的数据模型 允许将临床数据与其他链接数据相结合，例如环境，遗传，地理和任何 其他相关数据，并将其分析为整体整体。我们以前已经证明了 RDF，OWL语义和形状表达式（SHEX）架构语言的组合可以理论上 提供一个可靠的平台，用于在单个资源下集成不同的数据模型和范例 取向界面的集合。该项目的目的是设计，开发和评估新颖 信息平台称为Fhircat，它利用语义Web技术，FHIR模型/配置文件和 基于有效标准的数据集成和分布式分析的本体论，使高质量 可再现的临床和翻译研究。我们的具体目的是：1）开发FHIR Shex/RDF FHIR数据验证的规范和工具； 2）标准化和部署基于RDF的数据转换 在外部模型和FHIR之间； 3）构建和评估基于FHIR的基于本体的数据访问（OBDA） 与CTSA National合作，与机构之间的临床数据存储库相互互操作的系统可互操作 健康数据中心（CD2H）。该项目的结果使实现伯纳斯 - 李的愿景成为可能 对于不久的将来的医疗保健，进而创造了新的机会来促进FHIR的自动化 基于临床数据集成和共享，并加速基于标准的数据发现并分发 临床和翻译研究的分析。 1