Ivanov Oleg, Gesteland Per H, Hogan William, Mundorff Michael B, Wagner Michael M
Center for Biomedical Informatics, University of Pittsburgh, PA and University of Utah and Intermountain HealthCare, Salt Lake City, UT, USA.
AMIA Annu Symp Proc. 2003;2003:318-22.
We conducted a retrospective study to ascertain the potential of free-text chief complaints collected in pediatric emergency departments to serve as surveillance data for early detection of outbreaks. We determined that automatically coded chief complaint data provide a signal that reflects outbreaks in a population of children less than five years of age. Using the Exponentially Weighted Moving Average (EWMA) detection algorithm, we measured the timeliness, sensitivity, and specificity of free-text chief complaints for predicting outbreaks of pediatric respiratory and gastrointestinal illness. We found that time series of automatically coded free text-chief complaints in pediatric patients correlate well with hospital admissions and precede them by the mean of 10.3 days (95% CI -15.15, 35.5) for respiratory outbreaks and 29 days (95% CI 4.23, 53.7) for gastrointestinal outbreaks. We conclude that free-text chief complaints may play an important role as an early, sensitive and specific indicator of outbreaks of respiratory and gastrointestinal illness in children less than five years of age.
我们开展了一项回顾性研究，以确定儿科急诊科收集的自由文本形式的主诉作为早期发现疫情的监测数据的潜力。我们确定，自动编码的主诉数据提供了一个反映五岁以下儿童群体中疫情的信号。使用指数加权移动平均（EWMA）检测算法，我们测量了自由文本主诉对预测儿科呼吸道和胃肠道疾病疫情的及时性、敏感性和特异性。我们发现，儿科患者自动编码的自由文本主诉的时间序列与住院情况密切相关，对于呼吸道疫情，比住院提前10.3天（95%可信区间-15.15，35.5），对于胃肠道疫情，比住院提前29天（95%可信区间4.23，53.7）。我们得出结论，自由文本主诉可能作为五岁以下儿童呼吸道和胃肠道疾病疫情的早期、敏感和特异性指标发挥重要作用。
