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首页> 外文期刊>Human mutation >Biomedical informatics as support to individual healthcare in hereditary colon cancer: the Danish HNPCC system.
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Biomedical informatics as support to individual healthcare in hereditary colon cancer: the Danish HNPCC system.

机译:生物医学信息学作为遗传性结肠癌个人医疗保健的支持:丹麦HNPCC系统。

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摘要

The Danish HNPCC register is a publically financed national database. The register gathers epidemiological and genomic data in HNPCC families to improve prognosis by screening and identifying family members at risk. Diagnostic data are generated throughout the country and collected over several decades. Until recently, paper-based reports were sent to the register and typed into the database. In the EC cofunded-INFOBIOMED network of excellence, the register was a model for electronic exchange of epidemiological and genomic data between diagnosing/treating departments and the central database. The aim of digitization was to optimize the organization of screening by facilitating combination of genotype-phenotype information, and to generate IT-tools sufficiently usable and generic to be implemented in other countries and for other oncogenetic diseases. The focus was on integration of heterogeneous data, elaboration, and dissemination of classification systems and development of communication standards. At the conclusion of the EU project in 2007 the system was implemented in 12 pilot departments. In the surgical departments this resulted in a 192% increase of reports to the database. Several gaps were identified: lack of standards for data to be exchanged, lack of local databases suitable for direct communication, reporting being time-consuming and dependent on interest and feedback.
机译:丹麦HNPCC登记册是公共资助的国家数据库。该登记册收集HNPCC家庭的流行病学和基因组数据,以通过筛选和鉴定有风险的家庭成员来改善预后。诊断数据遍布全国,并收集了数十年。直到最近,纸质报告仍被发送到收银机并输入数据库。在EC共同资助的INFOBIOMED卓越网络中,该登记册是诊断/治疗部门与中央数据库之间电子交换流行病学和基因组数据的模型。数字化的目的是通过促进基因型-表型信息的组合来优化筛查的组织,并生成足以在其他国家和其他致癌基因疾病中实施的通用和可利用的IT工具。重点是异构数据的集成,详细的分类系统的分发和传播标准的制定。在2007年欧盟项目结束时,该系统已在12个试点部门中实施。在外科科室中,数据库报告增加了192%。确定了一些差距:缺乏要交换的数据的标准,缺乏适合直接交流的本地数据库,报告耗时且依赖于兴趣和反馈。

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