@文章{信息:doi/10.2196/10886，作者=“王美华与陈，韩坤与徐，闵慧与王慧智与叶玉婷”，标题=“云计算用于传染病监测与控制:医院实验室自动化报告系统的开发与评价”，期刊=“J Med Internet Res”，年=“2018”，月=“8”，日=“08”，卷=“20”，号=“8”，页=“e10886”，关键词=“实验室自动报告系统”;HALR;电子病历”，摘要=“背景:近年来发生了几种严重的传染病。为此，为了减轻公共卫生风险，世界各国致力于建立一个信息系统，对国际疾病暴发进行有效的疾病监测、风险评估和早期预警管理。云计算框架可以有效地提供所需的硬件资源和信息访问与交换，方便地连接传染病相关信息，开发跨系统的传染病监测与控制系统。目的:本研究的目的是开发一个基于此框架的医院实验室自动报告(HALR)系统并评估其有效性。方法:收集6个月的数据，分析HALR和基于网络的疾病报告系统(WebNDR)在此期间报告的病例。收集系统评价指标，包括敏感性和特异性评价指标。结果:HALR系统报告病原菌15种，5174例;WebNDR系统报告34例。在两种系统的比较中，敏感性为100%，特异性根据报告的病原体而变化。 In particular, the specificity for Streptococcus pneumoniae, Mycobacterium tuberculosis complex, and hepatitis C virus were 99.8{\%}, 96.6{\%}, and 97.4{\%}, respectively. However, the specificity for influenza virus and hepatitis B virus were only 79.9{\%} and 47.1{\%}, respectively. After the reported data were integrated with patients' diagnostic results in their electronic medical records (EMRs), the specificity for influenza virus and hepatitis B virus increased to 89.2{\%} and 99.1{\%}, respectively. Conclusions: The HALR system can provide early reporting of specified pathogens according to test results, allowing for early detection of outbreaks and providing trends in infectious disease data. The results of this study show that the sensitivity and specificity of early disease detection can be increased by integrating the reported data in the HALR system with the cases' clinical information (eg, diagnostic results) in EMRs, thereby enhancing the control and prevention of infectious diseases. ", issn="1438-8871", doi="10.2196/10886", url="//www.mybigtv.com/2018/8/e10886/", url="https://doi.org/10.2196/10886", url="http://www.ncbi.nlm.nih.gov/pubmed/30089608" }