摘要
目的:设计院内静脉血栓栓塞症(venous thrombo embolism,VTE)的智能评估及自动预警系统,提高VTE的确诊率,对其进行规范化治疗,降低患者死亡率。方法:利用数据提取、转换和加载的方法构建临床数据中心,涵盖军卫系统、检验系统、电子病历系统及手麻系统。根据国际标准和临床医师经验,利用统计学方法筛选预警参数,并对其进行权重赋值,构建预警模型。结果:该系统能够快速预测出住院患者是否患有VTE,医护人员能够及时地获知患者VTE预警结果。结论:该系统可辅助医生对VTE采取更加科学、合理的预防控制措施,使医疗质量与安全得到了有效的提升,值得推广应用。
Objective To develop an intelligent evaluation and automatic warning system to improve the diagnosis rate of venous thrombo embolism(VTE) and strengthen its standardized treatment. Methods A clinical data center was constructed by using data extraction, conversion and loading, which involved in military medical system, clinical laboratory system,electronic medical record system and surgical anesthesia system. The warning model was established with international standards, clinician experiences, warning parameters selection by statistical method and weighted assignment. Results The system could predict the risk of the hospitalized patient for VTE rapidly and inform the doctor in time. Conclusion The system facilitates the doctor to prevent and control VTE, and thus is worthy promoting practically.
出处
《医疗卫生装备》
CAS
2017年第10期48-51,共4页
Chinese Medical Equipment Journal
基金
陕西省社会发展科技攻关项目(2016SF-038)
关键词
静脉血栓栓塞症
智能评估
自动预警
临床数据中心
浏览器/服务器
venous thrombo embolism
intelligence evaluation
automatic early warning
clinical data center
Browser/Server