Deploying ONC national Standards in Support of Metadata for Big Data Research Warehouse Management of Repurposed Laboratory, Pathology & Patient Findings Data From the EHR.
Deploying ONC national Standards in Support of Metadata for Big Data Research Warehouse Management of Repurposed Laboratory, Pathology & Patient Findings Data From the EHR.
批准号:
9356544
负责人:
Walter Scott Campbell
金额:
$44.86万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-22 至 2019-06-30
关键词:
AnatomyArchitectureAreaBig DataBindingBiomedical ResearchCatalogingCatalogsClinicalClinical DataCommunitiesComplexComputer softwareDataData SetDatabasesDevelopmentDiseaseElectronic Health RecordGeneticGenomicsHealthHealth Insurance Portability and Accountability ActHuman GenomeInformation NetworksInstitutionLaboratoriesLogical Observation Identifiers Names and CodesMetadataMicrobiologyMolecular GeneticsOntologyOutcomes ResearchPathologyPatient-Focused OutcomesPatientsProtocols documentationPublic HealthPublicationsReference StandardsResearchResearch SupportSNOMED Clinical TermsSoftware ToolsStandardizationStructureTerminologyTestingTimeTissuesVendoranticancer researchantimicrobialbasebiobankbiomedical ontologyclinical applicationclinical careclinical data warehousedata modelingdesignelectronic datainformation modelinteroperabilitymalignant breast neoplasmmemberphenomicsresearch and developmentsoftware developmentsupport networktooltool development
中文摘要
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英文摘要
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.
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Deploying ONC national Standards in Support of Metadata for Big Data Research Warehouse Management of Repurposed Laboratory, Pathology & Patient Findings Data From the EHR.
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批准号:9161358
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项目类别:
-
资助金额:$44.86万
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财政年份:2016
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负责人:Walter Scott Campbell
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依托单位:
海外基金