Townes John M, Kohn Melvin A, Southwick Karen L, Bangs Christopher A, Zechnich Andrew D, Magnuson J A, Jui Jonathan
Department of Medicine, Division of Infectious Diseases, Oregon Health and Sciences University, 3181 SW Sam Jackson Park Road, Portland, OR 97201-3098, USA.
J Public Health Manag Pract. 2004 Jul-Aug;10(4):299-307. doi: 10.1097/00124784-200407000-00006.
Emergency department syndromic surveillance may provide early warning of disease outbreaks due to bioterrorism or natural phenomena. The purpose of this investigation was to explore how an electronic emergency department information system could be used as a data source for respiratory syndrome surveillance. The process of data collection, entry, and transmission is described, and then a subset of data elements with potential epidemiological value is selected. The quality of the data contained in the system was evaluated by conducting a retrospective analysis of emergency department visits recorded in the system during 2001 and by reviewing clinical charts of cases with respiratory diagnoses. Diagnosis codes, discharge disposition, and demographic data were relatively complete; additional clinical data were not. Diagnosis codes were rapidly and reliably recorded. Data available in the system allows a description of emergency department visits for respiratory syndrome in terms of age, gender, location, severity of illness, and distribution in time. Encrypted data were transmitted every four hours to the health department without added work for emergency department personnel. Although significant obstacles remain, electronic emergency department information systems such as this may provide rapid, reliable data for syndromic surveillance.
急诊科症状监测可能会为生物恐怖主义或自然现象导致的疾病爆发提供早期预警。本调查的目的是探讨如何将电子急诊科信息系统用作呼吸道综合征监测的数据来源。描述了数据收集、录入和传输的过程,然后选择了具有潜在流行病学价值的数据元素子集。通过对2001年该系统记录的急诊科就诊情况进行回顾性分析,并查阅呼吸道诊断病例的临床病历,对系统中包含的数据质量进行了评估。诊断代码、出院处置和人口统计学数据相对完整;其他临床数据则不完整。诊断代码记录迅速且可靠。系统中的可用数据能够按年龄、性别、地点、疾病严重程度和时间分布描述呼吸道综合征的急诊科就诊情况。加密数据每四小时传输至卫生部门,无需急诊科人员额外工作。尽管仍存在重大障碍,但这样的电子急诊科信息系统可能会为症状监测提供快速、可靠的数据。