手术部位感染监测的自动化方法。
Automated methods for surveillance of surgical site infections.
作者信息
Platt R, Yokoe D S, Sands K E
机构信息
Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts, USA.
出版信息
Emerg Infect Dis. 2001 Mar-Apr;7(2):212-6. doi: 10.3201/eid0702.010212.
Abstract
Automated data, especially from pharmacy and administrative claims, are available for much of the U.S. population and might substantially improve both inpatient and postdischarge surveillance for surgical site infections complicating selected procedures, while reducing the resources required. Potential improvements include better sensitivity, less susceptibility to interobserver variation, more uniform availability of data, more precise estimates of infection rates, and better adjustment for patients' coexisting illness.
摘要
自动化数据，尤其是来自药房和行政索赔的数据，在美国大部分人口中都可获取，这可能会显著改善对某些特定手术中出现手术部位感染的住院患者及出院后监测情况，同时减少所需资源。潜在的改进包括更高的敏感性、更低的观察者间差异易感性、更统一的数据可获取性、更精确的感染率估计以及对患者并存疾病的更好调整。
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