中国医学装备2025，Vol.22Issue(3)：132-137,6.DOI:10.3969/j.issn.1672-8270.2025.03.024
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
摘要
Abstract
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 significant(t=13.811,18.401,20.374,P<0.05).The equipment failure rate,component damage rate and unqualified rate of cleaning and disinfection were 4%(1/25),8%(2/25)and 4%(1/25)respectively,all of which were lower than those under the conventional management mode,and the differences were statistically significant(x2=10.395,12.829 and 13.542,P<0.05).The average recognition scores of engineers,operators and doctors involved in equipment use for the DBN management mode were(90.26±4.65),(91.54±4.62)and(93.25±3.65)points respectively,all of which were higher than those under the conventional management mode,and the differences were statistically significant(t=12.910,12.379,18.328,P<0.05).Conclusion:The application of the DBN-based risk identification model in the management for precision medical research equipment of central laboratory of hospitals can enhance the operation quality and efficiency of equipment,reduce the risk of equipment use,and improve the equipment service level.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Key words
Dynamic Bayesian network/Risk identification/Medical research equipment/Safety management分类
医药卫生引用本文复制引用
朱沁涵,王琴,张建伟,王芳..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[J].中国医学装备,2025,22(3):132-137,6.基金项目
上海中医药大学科技发展基金医院管理专项(23YGZX03) Shanghai University of Traditional Chinese Medicine's Science and Technology Development Fund for Hospital Management(23YGZX03) （23YGZX03）
