Continued Development and Evaluation of caTIES
caTIES 的持续开发和评估
基本信息
- 批准号:8403841
- 负责人:
- 金额:$ 28.66万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-01-01 至 2013-12-31
- 项目状态:已结题
- 来源:
- 关键词:Access to InformationAdoptionCancer CenterClinicalClinical DataClinical TrialsCodeCommunicationCommunitiesCommunity DevelopmentsComputer softwareDataData ReportingDatabase Management SystemsDevelopmentDiagnosisDocumentationDuctalElectronic MailEligibility DeterminationEnvironmentEvaluationFundingFutureGenetic VariationGenomicsGrantInformation RetrievalInstitutionMalignant NeoplasmsMethodsMetricModelingModificationNatural Language ProcessingOperating SystemPathology ReportPerformancePrivate HospitalsProcessReport (document)ReportingResearchResearch PersonnelServicesSpecimenStructureSurgical PathologySystemSystematized Nomenclature of MedicineTerminologyTestingTextTissuesTrainingTranslational ResearchUnified Medical Language SystemUniversity HospitalsVocabularyWorkabstractingbasebonecancer Biomedical Informatics Gridclinical phenotypecomputer human interactionductal breast carcinomaexpectationflexibilityimprovedinterestinteroperabilitymalignant breast neoplasmmeetingsmetathesaurusnovelopen sourcepatient privacyportabilityrepositorysoftware developmentsoftware systemssystems researchtoolusability
项目摘要
Abstract
We propose to further develop, test, evaluate and support caTIES - an existing software system for developing
networked repositories of sharable de-identified surgical pathology reports. The caTIES system creates a
repository of de-identified, structured, and concept-coded clinical reports derived from large corpora of clinical
free-text. Documents are automatically coded against a controlled terminology such as the Unified Medical
Language System (UMLS), SNOMED-CT, or NCI Metathesaurus. Users construct queries to identify specific
kinds of documents and tissue specimens based on the associated clinical report. For example, a researcher
studying genetic variation in metastatic breast cancers can identify cases of invasive ductal carcinoma of the
breast, followed by metastatic ductal cancer in bone at an interval of three years or greater from the original
diagnosis. The caTIES system also supports acquisition and ordering of tissues, using an honest broker model.
Through this mechanism, de-identified data and access to tissue can be shared among institutions, enabling
multi-center collaborative research. The caTIES system has already been implemented at seven US Cancer
Centers, and is being considered for adoption by numerous other institutions including cancer centers,
university hospitals and private hospitals. Initial development of caTIES was funded by the Cancer Biomedical
Informatics Grid (caBIG). However, interest in the application has far exceeded our expectations and the
limitations of caBIG. This grant will allow us to further extend the capabilities of the system by (a) improving the
portability of the system and extending the types of documents that can be processed, (b) evaluating the
system's NLP performance and usability, (c) building a user community to support this open-source application,
and (d) piloting interoperability of caTIES with other enterprise and research systems. This work will preserve
and extend a highly novel platform for development of massive repositories of de-identified clinical data that
can be used for research within and across institutions. Narrative
This grant will fund the further development and evaluation of a system that takes identified clinical documents
and converts them into de-identified, concept-coded, structured data. The system enables researchers to
access remainder tissues and clinical report data for research purposes within and across institution. This
project is important because it will greatly increase the access of researchers to important data and materials
while maintaining patient privacy.
摘要
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens.
- DOI:10.1158/0008-5472.can-15-1973
- 发表时间:2015-12-15
- 期刊:
- 影响因子:11.2
- 作者:Jacobson RS;Becich MJ;Bollag RJ;Chavan G;Corrigan J;Dhir R;Feldman MD;Gaudioso C;Legowski E;Maihle NJ;Mitchell K;Murphy M;Sakthivel M;Tseytlin E;Weaver J
- 通讯作者:Weaver J
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Rebecca S Jacobson其他文献
Rebecca S Jacobson的其他文献
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{{ truncateString('Rebecca S Jacobson', 18)}}的其他基金
Cancer Deep Phenotype Extraction from Electronic Medical Records
从电子病历中提取癌症深层表型
- 批准号:
9298609 - 财政年份:2014
- 资助金额:
$ 28.66万 - 项目类别:
Advanced Development of TIES-Enhancing Access to Tissue for Cancer Research
TIES 的先进发展——增强癌症研究组织的获取
- 批准号:
8741959 - 财政年份:2013
- 资助金额:
$ 28.66万 - 项目类别:
Advanced Development of TIES-Enhancing Access to Tissue for Cancer Research
TIES 的先进发展——增强癌症研究组织的获取
- 批准号:
8606937 - 财政年份:2013
- 资助金额:
$ 28.66万 - 项目类别:
Advanced Development of TIES-Enhancing Access to Tissue for Cancer Research
TIES 的先进发展——增强癌症研究组织的获取
- 批准号:
8901082 - 财政年份:2013
- 资助金额:
$ 28.66万 - 项目类别:
Continued Development and Evaluation of caTIES
caTIES 的持续开发和评估
- 批准号:
7749583 - 财政年份:2009
- 资助金额:
$ 28.66万 - 项目类别:
Computational Methods for Personalized and Adaptive Cognitive Training
个性化和适应性认知训练的计算方法
- 批准号:
7523638 - 财政年份:2009
- 资助金额:
$ 28.66万 - 项目类别:
Computational Methods for Personalized and Adaptive Cognitive Training
个性化和适应性认知训练的计算方法
- 批准号:
7849693 - 财政年份:2009
- 资助金额:
$ 28.66万 - 项目类别:
Pittsburgh Biomedical Informatics Training Program
匹兹堡生物医学信息学培训计划
- 批准号:
7870852 - 财政年份:2009
- 资助金额:
$ 28.66万 - 项目类别:
Continued Development and Evaluation of caTIES
caTIES 的持续开发和评估
- 批准号:
7558128 - 财政年份:2009
- 资助金额:
$ 28.66万 - 项目类别:
Computational Methods for Personalized and Adaptive Cognitive Training
个性化和适应性认知训练的计算方法
- 批准号:
8089164 - 财政年份:2009
- 资助金额:
$ 28.66万 - 项目类别:
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