摘要
Abstract
Objective:To construct a risk identification model based on dynamic Bayesian network(DBN),and to explore its application value in the operation management of orthopedic equipment in hospital.Methods:Risk factors in orthopedic equipment management were identified based on DBN model,and risk evaluation index set was established to provide early warning and prevention for possible risk factors.12 pieces of orthopedic medical equipment in clinical use in The Second Affiliated Hospital of Air Force Medical University from January 2020 to February 2022 were selected,the traditional orthopedic equipment quality operation management method(referred to as traditional mode)and the DBN-based risk identification mode(referred to as DBN mode)were adopted for equipment management respectively.The equipment operation effects,risk incidence rates and treatment efficiency of the two modes were compared.Results:The start-up operation efficiency and equipment quality qualification rate of the equipment in DBN mode were(93.54±4.05)%and(97.51±6.68)%,respectively,which were higher than those in the traditional mode;the troubleshooting time and the equipment component damage rate were(7.14±1.64)hours and(0.48±0.11)%,respectively,which were lower than those in the traditional mode,the difference was statistically significant(t=8.862,8.228,32.994,73.047,P<0.05).The function failure rate,parts damage rate,unqualified cleaning and disinfection rate and improper management rate of equipment in 479 equipment usage data,897 operations,300 equipment disinfection records and 500 equipment daily inspection records in the DBN mode were 0.21%(1/479),0.33%(3/897),1.33%(4/30)and 2.0%(10/500),respectively,which were lower than those in the traditional mode,the difference was statistically significant(x2=21.527,12.964,3.485,6.914,P<0.05).The effective rate of 500 cases of orthopedic medical equipment treatment of DBN mode was 97.8%(489/500),which was significantly higher than that of traditional mode,the difference was statistically significant(x2=12.617,P<0.05).Conclusion:The application of risk identification model based on DBN to the management of orthopedic medical equipment in hospital can strengthen the quality of orthopedic equipment management,improve the efficiency of equipment operation and treatment,and prevent and avoid equipment risks.关键词
动态贝叶斯网络(DBN)/骨科设备/风险评估/风险识别Key words
Dynamic Bayesian network(DBN)/Orthopedic equipment/Risk assessment/Risk identification分类
医药卫生
