TY -非盟的特奥多罗·道格拉斯AU - Pasche,艾米莉盟——Gobeill朱利安盟——Emonet Stephane盟——鲁赫帕特里克AU -洛维斯,基督教PY - 2012 DA - 2012/05/29 TI -建立一个跨国生物监控网络使用语义Web技术:需求、设计,及初步评价乔- J地中海互联网Res SP -药剂六世- 14 - 3 KW -抗菌素耐药性KW -异构数据库KW -在线信息服务KW -监视AB -背景:抗微生物药物耐药性已在全球达到令人震惊的水平，并正在成为一项重大公共卫生威胁。缺乏有效的抗微生物药物耐药性监测系统被认为是耐药性增加的原因之一，这是由于新耐药性和向护理提供者发出警报之间存在滞后。已经制定了几项跟踪耐药性演变的举措。然而，目前还没有公开的有效的实时和不依赖来源的抗菌素耐药性监测系统。目的:设计并实现一种能够提供实时和来源无关的抗微生物药物耐药性监测体系结构，为跨国耐药性监测提供支持。特别是，我们研究了基于语义网络模型的使用，以促进机构间和跨境微生物实验室数据库的集成和互操作性。方法:采用敏捷的软件开发方法，分析了有效监测抗生素耐药性的主要需求，提出了一种基于语义Web堆栈的分散式监测体系结构。该体系结构使用本体驱动的方法来促进哨点医院或实验室网络的集成。本地数据库被包装成语义数据存储库，自动在Web中公开本地计算形式化的实验室信息。 A central source mediator, based on local reasoning, coordinates the access to the semantic end points. On the user side, a user-friendly Web interface provides access and graphical visualization to the integrated views. Results: We designed and implemented the online Antimicrobial Resistance Trend Monitoring System (ARTEMIS) in a pilot network of seven European health care institutions sharing 70+ million triples of information about drug resistance and consumption. Evaluation of the computing performance of the mediator demonstrated that, on average, query response time was a few seconds (mean 4.3, SD 0.1×102 seconds). Clinical pertinence assessment showed that resistance trends automatically calculated by ARTEMIS had a strong positive correlation with the European Antimicrobial Resistance Surveillance Network (EARS-Net) (ρ = .86, P < .001) and the Sentinel Surveillance of Antibiotic Resistance in Switzerland (SEARCH) (ρ = .84, P < .001) systems. Furthermore, mean resistance rates extracted by ARTEMIS were not significantly different from those of either EARS-Net (∆ = ±0.130; 95% confidence interval –0 to 0.030; P < .001) or SEARCH (∆ = ±0.042; 95% confidence interval –0.004 to 0.028; P = .004). Conclusions: We introduce a distributed monitoring architecture that can be used to build transnational antimicrobial resistance surveillance networks. Results indicated that the Semantic Web-based approach provided an efficient and reliable solution for development of eHealth architectures that enable online antimicrobial resistance monitoring from heterogeneous data sources. In future, we expect that more health care institutions can join the ARTEMIS network so that it can provide a large European and wider biosurveillance network that can be used to detect emerging bacterial resistance in a multinational context and support public health actions. SN - 1438-8871 UR - //www.mybigtv.com/2012/3/e73/ UR - https://doi.org/10.2196/jmir.2043 UR - http://www.ncbi.nlm.nih.gov/pubmed/22642960 DO - 10.2196/jmir.2043 ID - info:doi/10.2196/jmir.2043 ER -