中国医学装备2023，Vol.20Issue(12)：170-175,6.DOI:10.3969/J.ISSN.1672-8270.2023.12.035
心脏外科重症监护室设备安全风险的预见性分析与应对策略研究
Predictive analysis and countermeasure research of equipment safety risk in cardiac surgery intensive care unit
摘要
Abstract
Objective:To conduct a predictive analysis of the safety risks in cardiac surgery intensive care unit(ICU)equipment,and to explore the application value of safety risk countermeasure strategies.Methods:The system failure modes and effects analysis(SFMEA)of cardiac surgery ICU equipment was carried out from the main system,subsystem and component levels,and the safety risk level was evaluated by using the triangular fuzzy soft set evaluation information fusion algorithm.The hierarchical management was carried out according to the priority order.A total of 89 medical equipment in clinical use in cardiac surgery ICU of the hospital were selected and divided into control group(79 units)and observation group(82 units,including 72 units in the control group and 10 newly added units)according to different management modes.The equipment in the control group adopted experiential management,the equipment in the observation group adopted predictive management.The system stability,equipment safety and clinical service satisfaction of the two groups were compared.Results:The failure ratio of operating components and functions,mechanical components and functions,electrical source circuits and functions,signal acquisition and processing,data output and storage in the observation group were(1.49±1.02)%,(1.91±1.37)%,(2.21±1.16)%,(0.97±0.67)%and(0.61±0.43)%,respectively,which were lower than those in the control group,the difference was statistically significant(t=3.119,t=3.705,t=4.713,t=3.871,t=4.306;P<0.05).The risk ratios of routine testing equipment,emergency treatment equipment,special treatment equipment and basic medical equipment in the observation group were 7.69%(1/13),10.53%(2/19),0.00%(0/8)and 11.90%(5/42),respectively,which were lower than those in the control group,,the difference was statistically significant(x2=4.887,x2=4.039,x2=5.333,x2=4.082;P<0.05).The satisfaction of hospital staff on clinical service quality of equipment in observation group was 94.59%,which was higher than that in control group,the difference was statistically significant(x2=5.731,P<0.05).Conclusion:The predictive analysis and response management strategies of equipment safety risk in cardiac surgery ICU based on triangular fuzzy soft set evaluation information fusion algorithm can improve the predictability of equipment safety risks in cardiac surgery ICU,enhance the stability of medical equipment system,improve the safety of clinical diagnosis and treatment of medical equipment,and improve the satisfaction of medical equipment management.关键词
安全风险/预见性分析/三角模糊软集/信息融合/系统失效模式及后果分析(SFMEA)Key words
Safety risk/Predictive analysis/Triangular fuzzy soft set/Information fusion/System failure modes and effects analysis(SFMEA)分类
预防医学引用本文复制引用
张尹红,黄熠辉,许云东,胡萍,方奕海..心脏外科重症监护室设备安全风险的预见性分析与应对策略研究[J].中国医学装备,2023,20(12):170-175,6.基金项目
2022年度广东省医学科研基金指令性课题项目(C2022081)"基于循证决策的主动脉夹层术后自我健康管理模型的构建" （C2022081）
