基于RT-NISS的医院感染预警系统算法构建

Algorithm construction of a nosocomial infection early warning system based on RT-NISS

目的：基于医院感染实时监控系统（ RT-NISS），应用大数据筛选构建医院感染预警算法。方法采用大数据挖掘算法和多个数学模型设计一系列算法，通过对过程数据采集与分析，对比各影响因素的影响程度，赋予不同影响因素权重，对个体患者影响因素权重评分，设定预警区间，实现医院感染预警。结果通过挖掘RT-NISS的“感染信息基础数据库”，设计算法筛选医院感染危险因素、对医院感染危险因素赋予权重，结合临床医院感染病例验证并调整权重，设定医院感染预警区间，初步实现医院感染预警。结论基于RT-NISS的医院感染预警系统已初步完成框架设计，下一步将结合临床数据验证比对，不断提高预警准确度和精确度，在发生医院感染前预警，及时指导临床引起关注并采取预防措施，降低医院感染发生率。

Objective To construct the algorithm of a nosocomial infection early warning system （ NIEWS ） with application of Large Data Screening based on the real-time nosocomial infection surveillance system （RT-NISS）.Methods Large Data Screening and Mathematical Model were adopted to design a series of algorithms.Through process data acquisition and analysis, the influences of various influencing factors were compared, and then given different weights.The influencing factors for individual patient were also given weights.Then the warning interval was set to implement the early warning of nosocomial infection.Results Through the data mining of the Infection Information Database from the RT-NISS, a series of algorithms were successfully designed, and the risk factors of nosocomial infection were screened out.Then the weights of these risk factors were verified and adjusted in combination with the cases of nosocomial infection from hospitals.The early warning interval was set and implemented for nosocomial infection.Conclusion The preliminary framework of the NIEWS based on RT-NISS system is designed and established.In the further study, we will verify and compare in combination with nosocomial infection data in order to improve the accuracy and precision of prediction, and implement the early warning before the infection, induce clinical concern and take preventive measures to reduce nosocomial infection rate.