Sips Meander E, Bonten Marc J M, van Mourik Maaike S M
1Julius Center for Health Sciences and Primary Care,University Medical Center Utrecht,Utrecht,The Netherlands.
2Department of Medical Microbiology,University Medical Center Utrecht,Utrecht,The Netherlands.
Infect Control Hosp Epidemiol. 2017 Jun;38(6):732-735. doi: 10.1017/ice.2017.37. Epub 2017 Apr 3.
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. Infect Control Hosp Epidemiol 2017;38:732-735.
全髋关节或膝关节置换术后对手术部位感染(SSIs)进行人工监测既耗时又容易出错。基于从电子健康记录中提取的常规护理数据进行的半自动监测可以回顾性地识别深部手术部位感染,并在保持100%敏感性的同时大幅减少工作量。《感染控制与医院流行病学》2017年;38:732 - 735。