Automated methods for surveillance of surgical site infections

被引:58
|
作者
Platt, R
Yokoe, DS
Sands, KE
机构
[1] Harvard Univ, Sch Med, Beth Israel Deaconess Med Ctr, Boston, MA USA
[2] Harvard Pilgrim Hlth Care, Boston, MA USA
[3] Brigham & Womens Hosp, Boston, MA 02115 USA
关键词
D O I
10.3201/eid0702.010212
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
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.
引用
收藏
页码:212 / 216
页数:5
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