摘要
目的对医院感染实时监测对强化医院感染管理的效果进行探究,分析应用信息化手段提升医院感染管控力度的效果。方法选取医院2019年7—12月收治的118例ICU重症患者作为研究对象,另选取2019年1—6月收治的ICU重症患者共118例作为对照组。对照组采用院感专职人员人工监测方法;观察组应用杏林医院感染实时监测系统,对两组导尿管相关尿路感染发病率以及感染漏报率进行对比。结果观察组导感染发病率为1.69%;对照组感染发病率9.32%,组间对照差异具有统计学意义(P<0.05)。观察组118例患者的感染漏报率为0,对照组感染漏报率6.78%,组间对照,差异具有统计学意义(P<0.05)。结论此系统符合医院感染监控及管理的需要,可作为预防及控制医院感染的可靠数据获取来源,具有较高的经济性、安全性。
Objective To explore the effect of real-time monitoring of hospital infection on strengthening the management of hospital infection, and to analyze the effect of applying information technology to enhance the management and control of hospital infection. Methods 118 severe ICU patients in our hospital from July to December 2019 were selected as the research object, and 118 ICU severe patients from January to June 2019 were selected as the control group. The control group was given artificial monitoring by hair coloring full-time staff. The observation group was applied to the real-time monitoring system of Xinglin hospital infection, and the incidence of urinary tract infection and the rate of missing infection were compared between the two groups. Results Hair coloring hair coloring and urinary tract infection rate in the observation group were 1.69%, while the incidence of catheter related urinary tract infection in the control group was 9.32%. There was a significant difference between the two groups (P < 0.05). The missing report rate of 118 patients in the observation group was 0, and that in the control group was 6.78%. There was statistical difference between the two groups (P < 0.05). Conclusion The system meets the needs of hospital infection monitoring and management, can be used as a reliable source of data for prevention and control of hospital infection, with high economy and safety.
作者
方丽韩
扶春金
FANG Lihan;FU Chunjin(Department of Intensive Care Medicine,The Affiliated Hospital of Putian University,Putian Fujian 351100,China)
出处
《中国卫生标准管理》
2021年第18期116-119,共4页
China Health Standard Management
关键词
医院感染实时监测系统
医院感染管理
全过程监控
尿路感染发病率
感染漏报率
应用效果
nosocomial infection real-time monitoring system
hospital infection management
whole process monitoring
urinary tract infection incidence
infection missing report rate
application effect
