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基于逻辑回归分析构建超声刀使用风险管理模型与验证

Construction and verification of risk management model of ultrasonic scalpel use based on logistic regression analysis
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摘要 目的:基于逻辑回归(LR)算法构建超声刀使用风险管理模型,提高超声刀风险管理质量。方法:基于LR算法构建超声刀使用风险管理模型并进行模型验证。选取2022—2023年上海市肺科医院临床在用的28台超声刀,以时间为节点,将2022年设备使用期间采用常规管理模式进行管理,2023年设备使用期间采用LR风险管理模型(简称风险管理)进行管理,采用自制评估量表对比两种管理模式的超声刀风险管理质量评分、风险预警评分以及参与设备使用管理人员体验评分。结果:采用风险管理模式的超声刀保养记录、使用状态记录、资料入档、保养牌悬挂和报废处理质量评分的平均分分别为(9.54±0.37)分、(9.67±0.34)分、(9.73±0.21)分、(9.18±0.35)分和(9.92±0.31)分,均高于常规管理模式,差异有统计学意义(t=55.666、32.235、49.511、40.311、23.122,P<0.05);采用风险管理的超声刀使用风险识别准确性、预警及时性和防控全面性风险预警评分的平均分分别为(9.66±1.20)分、(9.92±1.48)分和(9.87±1.04)分,均高于常规管理模式,差异有统计学意义(t=11.840、8.371、8.032,P<0.05);参与超声刀预防养护人员、维修人员和操作人员对采用风险管理模式的超声刀使用体验平均评分分别为(96.61±6.08)分、(95.07±5.19)分和(97.73±5.93)分,均高于常规管理模式,差异有统计学意义(t=4.991、4.156、4.870,P<0.05)。结论:基于LR算法构建超声刀风险管理模型应用于超声刀使用管理,可提高超声刀风险管理质量,规避风险隐患,提升超声刀临床使用的安全性与稳定性。 Objective:To construct the risk management model of ultrasonic scalpel based on logistic regression(LR)algorithm,and to improve the quality of ultrasonic risk management.Methods:Based on the LR algorithm,the risk management model of ultrasonic scalpel use was constructed and the model was verified.A total of 28 ultrasonic scalpels in clinical use in Shanghai Pulmonary Hospital from January 2022 to December 2023 were selected.Based on the time,the conventional management model was adopted during the use of the equipment in 2022,and the LR risk management model(referred to as risk management)was applied during the use of the equipment in 2023.The risk management quality score,risk warning score and experience score of the management personnel involved in the use of the equipment between the two management modes were compare by using the self-made evaluation scale.Results:The average scores of ultrasonic scalpel maintenance record,usage record,data filing,maintenance card hanging and scrapping treatment using risk management were(9.54±0.37),(9.67±0.34),(9.73±0.21),(9.18±0.35)and(9.92±0.31),respectively,which were higher than those of the conventional management,the difference was statistically significant(t=55.666,32.235,49.511,40.311,23.122,P<0.05).The average scores of ultrasonic scalpel risk identification accuracy,early warning timeliness and comprehensive prevention and control using risk management were(9.66±1.20),(9.92±1.48),and(9.87±1.04),respectively,which were higher than those of the conventional management mode,the difference was statistically significant(t=11.840,8.371,8.032,P<0.05).The average scores of ultrasonic scalpel preventive maintenance personnel,maintenance personnel and operators on the use experience of ultrasonic scalpel in risk management mode were(96.61±6.08),(95.07±5.19)and(97.73±5.93),respectively,which were higher than those in the conventional management mode,the difference was statistically significant(t=4.991,4.156,4.870,P<0.05).Conclusion:The application of ultrasonic scalpel risk management model based on LR algorithm to the use management of ultrasonic scalpel can improve the quality of ultrasonic scalpel risk management,avoid risk hazards,and enhance the safety and stability of clinical use of ultrasonic scalpel.
作者 唐杰 黄浩名 张子宇 周佳 Tang Jie;Huang Haoming;Zhang Ziyu;Zhou Jia(Department of Medical Equipment,Shanghai Pulmonary Hospital,Shanghai 200433,China)
出处 《中国医学装备》 2024年第8期142-146,共5页 China Medical Equipment
关键词 逻辑回归算法 超声刀 风险管理模型 安全性 Logistic regression algorithm Ultrasonic scalpel Risk management model Safety
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