caTIES: a grid based system for coding and retrieval of surgical pathology reports and tissue specimens in support of translational research
caTIES: a grid based system for coding and retrieval of surgical pathology reports and tissue specimens in support of translational research
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DOI：
10.1136/jamia.2009.002295
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发表时间：
2010-05-01
影响因子：
6.4
通讯作者：
Feldman, Michael
中科院分区：
文献类型：
--
作者：
Crowley, Rebecca S.;Castine, Melissa;Feldman, Michael
作者报告了癌症组织信息提取系统（caTIES）的开发，该应用程序通过利用现有的自然语言处理方法和算法、网格通信和安全框架以及查询可视化方法来支持协作组织库和文本挖掘。该系统填补了翻译研究（如组织库和临床试验）中对文本衍生临床数据的重要需求。caTIES的设计解决了转化研究信息学支持的三个关键问题：(1)来自临床系统的研究数据源的联合；(2)基于概念的文本挖掘的表达图形界面；(3)支持多中心协同研究的监管与安全模式。该系统在全国多个癌症中心的实施正在创建一个潜在的caTIES存储库网络，可以向用户提供数百万份去识别的临床报告。该系统提供了一个端到端的医学自然语言处理应用程序，以支持多机构的转化研究项目。
The authors report on the development of the Cancer Tissue Information Extraction System (caTIES) an application that supports collaborative tissue banking and text mining by leveraging existing natural language processing methods and algorithms, grid communication and security frameworks, and query visualization methods. The system fills an important need for text-derived clinical data in translational research such as tissue-banking and clinical trials. The design of caTIES addresses three critical issues for informatics support of translational research: (1) federation of research data sources derived from clinical systems; (2) expressive graphical interfaces for concept-based text mining; and (3) regulatory and security model for supporting multi-center collaborative research. Implementation of the system at several Cancer Centers across the country is creating a potential network of caTIES repositories that could provide millions of de-identified clinical reports to users. The system provides an end-to-end application of medical natural language processing to support multi-institutional translational research programs.