中国感染控制杂志2012,Vol.11Issue(2):115-118,4.
医院感染实时监控系统中疑似感染病例智能判断的实现
Intellectual judgement on suspected healthcare-associated infection cases in the real-time HAI surveillance system
摘要
Abstract
Objective To achieve auto-screen and intellectual judgement on suspected healthcare-associated infec-tion(HAI) cases in the real-time HAI surveillance system. Methods The screening strategy and prewarning condition of suspected HAI cases were formulated according to Diagnostic Criteria of Healthcare-associated Infections and experience in manually looking up HAI in medical records. The system can extract infection-related information from hospital information system (HIS), lab information system (LIS), radiology information system (RIS), and electronic medical record (EMR) system. All the information can be sorted, integrated and analyzed according to the correlativity between extracted information and development of infection. Then the pre-warning information of suspected infection cases are output according to different departments. The sensitivity and correctness of the system is validated through comparing with the result of retrospective study by manually looking up medical records. Results 30 - 40 suspected HAI cases in the hospital with 3 600 beds are found by the system everyday, one infection management professional can deal with all suspected cases between 1 and 1. 5 hours; then all the infection data can be obtained automatically. Comparing with the result of retrospective study by manually looking up medical records, HAI cases confirmed by the system increases by 20%. Conclusion Real-time HAI surveillance system has the features of timeliness, high efficiency, and correctness. Auto-screen and intellectual judgement can save time for infection management professionals to screen and diagnose infection, and improve efficiency and effectiveness in preventing and controlling infection.关键词
医院感染/实时监控系统/智能判断/计算机/信息系统/信息获取Key words
healthcare-associated infection/ real-time surveillance systems intellectual judgment/computer/ information system/ information obtainment分类
医药卫生引用本文复制引用
杜明梅,邢玉斌,索继江,薛万国,史洪飞,保鹏飞,霍瑞,陈春平,刘运喜..医院感染实时监控系统中疑似感染病例智能判断的实现[J].中国感染控制杂志,2012,11(2):115-118,4.基金项目
国家自然科学基金资助项目(30872155) (30872155)