基于动态贝叶斯网络风险识别模型在中心实验室精密医学实验设备中的安全管理研究  

Research on the safety management for risk identification model based on DBN in precision medical research equipment of central laboratory

作　　者：朱沁涵 王琴[1] 张建伟[2] 王芳 Zhu Qinhan;Wang Qin;Zhang Jianwei;Wang Fang(Department of Bidding and Procurement,Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China;Department of Pharmacy,Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China;School of Life Sciences and Technology,Tongji University,Shanghai 200092,China;不详)

机构地区：[1]上海中医药大学附属曙光医院招标采购部,上海201203 [2]上海中医药大学附属曙光医院药剂科,上海201203 [3]同济大学生命科学与技术学院,上海200092

出　　处：《中国医学装备》2025年第3期132-137,共6页China Medical Equipment

基　　金：上海中医药大学科技发展基金医院管理专项(23YGZX03)。

摘　　要：目的:构建基于动态贝叶斯网络(DBN)风险识别模型,探讨其在中心实验室精密医学实验设备中的安全管理效果。方法:基于DBN模型识别中心实验室精密医学实验设备管理中的各类风险因素,构建风险识别模型,采用指标评价集对设备运行阶段可能出现的风险进行提前预警和有效防范。选取2023年2月至2024年2月上海中医药大学附属曙光医院中心实验室在用的51台精密医学实验设备,分别对26台设备采用常规管理模式,对25台设备采用DBN风险识别模型管理模式(DBN管理模式)进行管理,自制设备管理认可度调查问卷对参与设备使用管理的工程师、设备操作人员和临床医生进行问卷调查,对比两种管理模式下设备目标达成度、临床服务质量、设备风险发生率和设备使用相关人员对设备管理的认可度评分。结果:采用DBN管理模式的设备操作规范度、消毒清洁完成度和应急管理及时性评分分别为(91.58±3.36)、(90.58±3.69)和(93.69±4.25)分,均高于常规管理模式,差异有统计学意义(t=19.466、15.704、15.549,P<0.05);DBN管理模式下设备执行率、质量检测合格率和故障问题处理率平均值分别为(92.69±3.69)%、(93.27±3.01)%和(94.57±3.65)%,均高于常规管理模式,差异有统计学意义(t=13.811、18.401、20.374,P<0.05);DBN管理模式下设备故障率、零部件破损率和清洁消毒不合格率分别为4%(1/25)、8%(2/25)和4%(1/25),均低于常规管理模式,差异有统计学意义(x^(2)=10.395、12.829、13.542,P<0.05)。参与设备使用管理的工程师、操作人员和临床医生对采用DBN管理模式的认可度平均评分分别为(90.26±4.65)、(91.54±4.62)和(93.25±3.65)分,均高于常规管理模式,差异有统计学意义(t=12.910、12.379、18.328,P<0.05)。结论:基于DBN风险识别模型在医院中心实验室精密医学实验设备管理中应用,能够提高设备运行质量与效率,降低设备使用风险,改善设备服Objective:To construct a risk identification model based on the Dynamic Bayesian Network(DBN)and explore its safety management effect in the precision medical research equipment of the central laboratory.Methods:Based on the DBN model,a risk identification model was constructed after various risk factors in the management for precision medical research equipment of central laboratory were identified,and a risk index evaluation set was constructed to provide early warning and effective prevention of potential risks during the operation stage of the equipment.A total of using 51 precision medical research equipment in central laboratory of Shuguang Hospital of Shanghai University of Traditional Chinese Medicine from February 2023 to February 2024 were selected.According to different management modes,26 of them were managed by the conventional management mode,and 25 were managed by the DBN risk identification model management mode(DBN management mode).A self-made questionnaire on equipment management recognition was used to conduct a survey among 15 engineers,15 equipment operators and 10 doctors involved in equipment use.The equipment target achievement degree,clinical service quality,equipment risk incidence rate and the recognition scores of personnel related to equipment use for equipment management under the two management modes were compared.Results:The scores of equipment operation standardization,disinfection and cleaning completion and emergency management timeliness under the DBN management mode were(91.58±3.36),(90.58±3.69)and(93.69±4.25)points respectively,all of which were higher than those under the conventional management mode,and the differences were statistically significant(t=19.466,15.704,15.549,P<0.05).The average values of equipment execution rate,quality inspection qualification rate and fault handling rate were(92.69±3.69)%,(93.27±3.01)%and(94.57±3.65)%respectively,all of which were higher than those under the conventional management mode,and the differences were statistically significan

关 键 词：动态贝叶斯网络(DBN) 风险识别 医学实验设备 安全管理 

分 类 号：R197.39[医药卫生—卫生事业管理]