Semiautomated Surveillance of Deep Surgical Site Infections After Primary Total Hip or Knee Arthroplasty

被引：24
|
作者：
Sips, Meander E. [1 ]
Bonten, Marc J. M. [1 ,2 ]
van Mourik, Maaike S. M. [2 ]
机构：
[1] Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Huispost Str 6-131,POB 85500, NL-3508 GA Utrecht, Netherlands
[2] Univ Med Ctr Utrecht, Dept Med Microbiol, Utrecht, Netherlands
来源：
INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY | 2017年 / 38卷 / 06期
关键词：
CARE-ASSOCIATED INFECTIONS; AUTOMATED SURVEILLANCE; UNITED-STATES; IMPACT;
D O I：
10.1017/ice.2017.37
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
Manual surveillance of surgical site infections (SSIs) after total hip or knee arthroplasty is time-consuming and prone to error. Semiautomated surveillance based on routine care data extracted from electronic health records can retrospectively identify deep SSIs and substantially reduce workload while maintaining 100% sensitivity.
引用
收藏
页码：732 / 735
页数：4
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