Deploying ONC national Standards in Support of Metadata for Big Data Research Warehouse Management of Repurposed Laboratory, Pathology & Patient Findings Data From the EHR.

部署 ONC 国家标准以支持改造实验室、病理学大数据研究仓库管理的元数据

• 批准号: 9356544
• 负责人: Walter Scott Campbell
• 金额: $ 44.86万
• 依托单位: UNIVERSITY OF NEBRASKA MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-22 至 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9356544
• 关键词: Anatomy; Architecture; Area; Big Data; Binding; Biomedical Research; Cataloging; Catalogs; Clinical; Clinical Data; Communities; Complex; Computer software; Data; Data Set; Databases; Development; Disease; Electronic Health Record; Genetic; Genomics; Health; Health Insurance Portability and Accountability Act; Human Genome; Information Networks; Institution; Laboratories; Logical Observation Identifiers Names and Codes; Metadata; Microbiology; Molecular Genetics; Ontology; Outcomes Research; Pathology; Patient-Focused Outcomes; Patients; Protocols documentation; Public Health; Publications; Reference Standards; Research; Research Support; SNOMED Clinical Terms; Software Tools; Standardization; Structure; Terminology; Testing; Time; Tissues; Vendor; anticancer research; antimicrobial; base; biobank; biomedical ontology; clinical application; clinical care; clinical data warehouse; data modeling; design; electronic data; information model; interoperability; malignant breast neoplasm; member; phenomics; research and development; software development; support network; tool; tool development

A critical component of the Federal architecture for the Nationwide Health Information Network is the Electronic Health Record (EHR) employing structured clinical data encoded with Office of the National Coordinator (ONC) standard reference terminologies that support interoperable repurposing of the data for research and public health. These reference terminologies, including SNOMED CT and RXNORM, are large and complex, thereby complicating and historically limiting terminology implementation in support of big data research objectives. This research and development proposal seeks to: a) expand the scope and clinical applicability of these terminologies, b) create metadata tooling in support of ONC reference terminology deployment in clinical data repositories (CDR) and c) assess the utility of that deployment for organizing tissue biobanks and supporting networked research queries. Metadata and software tooling will be developed and made available to the biomedical research community through the National Center for Biomedical Ontologies (NCBO). The harmonization of SNOMED CT and LOINC in the domain of observable entities is an important unification of ONC clinical ontologies. This project will expedite this harmonization to include the domains of anatomic pathology, molecular genetics and microbiology and create an observables ontology for distribution through the NCBO. Distribution and implementation of an observables ontology will facilitate research that binds patient phenomic data with disease specific genomic observations in support of research into the genetic basis of disease. The observables ontology will be tested within an i2b2-based CDR in the areas of breast cancer and antimicrobial stewardship. The Patient Centered Outcome Research Initiative (PCORI) seeks to provide timely answers to the research questions of our day by standardizing datasets across research institutions. While employing a common clinical data model, efficient and interoperable query of data employing ONC reference terminologies requires expanded information models, coordination between EHR vendors and shared network protocols. This proposal will deploy the ONC reference terminology metadata including the observables ontology to members of the Greater Plains Consortium (GPC) PCORnet CDRN. Breast cancer and antimicrobial stewardship queries will be deployed between collaborating GPC members for testing of interoperability and demonstration of network functionality.

全国健康信息联邦体系结构的一个关键组成部分 网络是电子健康记录（EHR），采用编码的结构化临床数据， 国家协调员办公室（ONC）标准参考术语， 可互操作地将数据重新用于研究和公共卫生。这些参考 包括SNOMED CT和RXNORM在内的术语庞大而复杂， 支持大数据研究的术语实施变得复杂且历史上受到限制 目标.该研究和开发提案旨在：a）扩大范围和临床 这些术语的适用性，B）创建元数据工具以支持ONC参考 临床数据库（CDR）中的术语部署，以及c）评估 组织生物库和支持网络研究查询的部署。 将开发元数据和软件工具，并提供给生物医学研究 国家生物医学本体中心（National Center for Biomedical Ontologies，NCBO） SNOMED CT和LOINC在可观测实体领域的协调是 ONC临床本体的重要统一。本项目将加快这一协调 包括解剖病理学、分子遗传学和微生物学领域， 通过NCBO分发的可观测本体。分发和执行 一个可观察的本体论将促进将病人的表型数据与疾病联系起来的研究。 具体的基因组观察，以支持对疾病遗传基础的研究。的 将在乳腺癌领域基于i2b2的CDR内测试可观察的本体， 抗菌管理。 以患者为中心的结果研究倡议（PCORI）旨在提供及时的 通过标准化跨研究的数据集来回答我们当今的研究问题 机构职能体系在采用通用临床数据模型的同时， 采用ONC参考术语的数据需要扩展的信息模型， EHR供应商和共享网络协议之间的协调。该提案将部署 ONC参考术语元数据，其包括对ONC成员的可观察量本体。 大平原联盟（GPC）PCORnet CDRN。乳腺癌与抗菌 将在协作的GPC成员之间部署管理查询，以测试 互操作性和网络功能演示。