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Implementation and evaluation of an automated surveillance system to detect hospital outbreak

机译:自动监测系统检测医院爆发的实施与评估

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Highlights " Real-time surveillance system for clusters is useful for infection control programs. " Using free WHONET-SaTScan software allows for automation of surveillance. " Surveillance system detected clusters of organisms otherwise unbeknownst. " System was flexible, timely, acceptable, useful, and sensitive according to the Centers for Disease Control and Prevention's guidelines. Background The timely identification of a cluster is a critical requirement for infection prevention and control (IPC) departments because these events may represent transmission of pathogens within the health care setting. Given the issues with manual review of hospital infections, a surveillance system to detect clusters in health care settings must use automated data capture, validated statistical methods, and include all significant pathogens, antimicrobial susceptibility patterns, patient care locations, and health care teams. Methods We describe the use of SaTScan statistical software to identify clusters, WHONET software to manage microbiology laboratory data, and electronic health record data to create a comprehensive outbreak detection system in our hospital. We also evaluated the system using the Centers for Disease Control and Prevention's guidelines. Results During an 8-month surveillance time period, 168 clusters were detected, 45 of which met criteria for investigation, and 6 were considered transmission events. The system was felt to be flexible, timely, accepted by the department and hospital, useful, and sensitive, but it required significant resources and has a low positive predictive value. Conclusions WHONET-SaTScan is a useful addition to a robust IPC program. Although the resources required were significant, this prospective, real-time cluster detection surveillance system represents an improvement over historical methods. We detected several episodes of transmission which would have eluded us previously, and allowed us to focus infection prevention efforts and improve patient safety.
机译:亮点“用于集群的实时监控系统对感染控制程序有用。”使用免费的WhoneT-SATSCan软件允许监视的自动化。 “监视系统根据疾病控制和预防准则的中心,检测到否则不知数的生物体簇。”系统是灵活的,及时,可接受的,有用的,并且有用和敏感的。背景技术群集的及时识别是对感染预防和控制(IPC)部门的关键要求,因为这些事件可以代表医疗保健环境中的病原体的传输。鉴于医院感染的手工审查的问题,一种检测医疗保健环境中群集的监测系统必须使用自动化数据捕获,验证的统计方法,并包括所有重要病原体,抗微生物易感性模式,患者护理地点和医疗保健团队。方法我们描述了SATSCAN统计软件的使用来识别集群,WHONET软件来管理微生物实验室数据,以及电子健康记录数据,在我们医院中创建全面的疫情检测系统。我们还使用疾病控制和预防的指导方针评估该系统。结果在8个月的监视时间段期间,检测到168个集群,其中45个符合调查标准,6个被认为是传输事件。该系统感到灵活,及时,由部门和医院接受,有用和敏感,但它需要大量资源并具有低的阳性预测价值。结论whonet-satscan对强大的IPC程序是一种有用的补充。虽然所需的资源是显着的,但这种预期的实时群集检测监测系统代表了对历史方法的改进。我们检测到几次传播剧集,这些传输将在此之前耗尽我们,并使我们能够集中预防努力并改善患者安全性。

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