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Implementing a community surveillance network to monitor antimicrobial resistance: the Labville network

机译：实施社区监测网络以监测抗菌素耐药性：Labville网络

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BACKGROUND: In France, antimicrobial resistance monitoring is based on the contribution of many microbiological partners and networks, especially hospital laboratories. In order to complete this surveillance, the InVS implemented a network based on private-sector laboratories (PSL): the Labville network. METHOD: Stratified by French region, 69 PSL were randomly selected. The microbiological analysis results, including anonymized individual patient data, are translated into an appropriate data format within an automated reading process. This data is then sent to InVS through a secure Internet connection. RESULTS: The specifications of the automated system were defined according to a feasibility study conducted in 2003. The first stage of the project consisted in defining a global strategy for the reading of printed microbiological results. Then, the parameters were adapted for each PSL using a set of specific analysis over two to three weeks. After validation by InVS, the reading strategy was applied on to routinely printed results. The strategy was definitely validated after four month of a daily data transmission. The general approach needs to be adapted to each PSL and undergoes several adjustments. This long step of the project still requires microbiological expertise. CONCLUSION: The automated data extraction process used for Labville project is innovating. It is not affected by the compatibility and diversity of computing systems and reduces the biologist's workload. The Labville network is a challenging project motivating future development of other electronic surveillance networks.
机译：背景：在法国，抗菌素耐药性监测是基于许多微生物合作伙伴和网络（尤其是医院实验室）的贡献。为了完成此监视，InVS实施了一个基于私营部门实验室（PSL）的网络：Labville网络。方法：按法国地区分层，随机选择69个PSL。微生物分析结果（包括匿名的个体患者数据）在自动读取过程中被转换为适当的数据格式。然后，该数据通过安全的Internet连接发送到InVS。结果：自动化系统的规格是根据2003年进行的可行性研究确定的。该项目的第一阶段包括定义读取印刷的微生物结果的全球策略。然后，在两到三周内使用一组特定的分析为每个PSL调整参数。经过InVS验证后，将读取策略应用于常规打印结果。每天传输四个月后，该策略肯定得到了验证。通用方法需要适应每个PSL，并进行一些调整。该项目的这一漫长步骤仍然需要微生物学专业知识。结论：用于Labville项目的自动数据提取过程正在创新。它不受计算系统的兼容性和多样性的影响，并减少了生物学家的工作量。 Labville网络是一个具有挑战性的项目，它会激发其他电子监控网络的未来发展。

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