1Division of Infectious Diseases and International Health,Department of Medicine,University of Virginia Health System,Charlottesville,Virginia.
2Health Information and Technology,University of Virginia Health System,Charlottesville,Virginia.
Infect Control Hosp Epidemiol. 2018 Jun;39(6):737-740. doi: 10.1017/ice.2018.53. Epub 2018 Apr 12.
We hypothesized that a computerized clinical decision support tool for Clostridium difficile testing would reduce unnecessary inpatient tests, resulting in fewer laboratory-identified events. Census-adjusted interrupted time-series analyses demonstrated significant reductions of 41% fewer tests and 31% fewer hospital-onset C. difficile infection laboratory-identified events following this intervention.Infect Control Hosp Epidemiol 2018;39:737-740.
我们假设一种用于艰难梭菌检测的计算机临床决策支持工具能够减少不必要的住院检测,从而降低实验室确诊的事件发生率。经过人口普查调整的中断时间序列分析显示,该干预措施实施后,检测数量显著减少了 41%,医院获得性艰难梭菌感染实验室确诊事件减少了 31%。感染控制与医院流行病学 2018;39:737-740。