1.The classification and risk analysis of clinical claims for mechanical ventilator.
Yanwu LIU ; Ruitong WANG ; Shengchun XIAO ; Weidong WANG
Journal of Biomedical Engineering 2011;28(4):708-714
The risk analysis of clinical claims of mechanical ventilator can provide the useful information to the application of the availability and safety of mechanical ventilators. This paper classifies the clinical claims of two types of mechanical ventilations, and tries to find the distribution characteristics of the failure rate of the clinical claims by using the hazard analysis method. All of the distribution characteristics are related to the factors as ventilator design, environment human factors, etc. The method of risk analysis, combining with the classification of clinical claims, is useful for the clinical application and engineering services of mechanical ventilation.
Data Interpretation, Statistical
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Equipment Failure Analysis
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statistics & numerical data
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Humans
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Respiration, Artificial
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adverse effects
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instrumentation
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standards
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Risk Assessment
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Ventilators, Mechanical
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adverse effects
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standards
2.Research on the risk model of medical equipment maintenance and procurement based on system dynamics
Fei WANG ; Shengchun XIAO ; Haijian HAN ; Yuhuan ZHU ; Ji GUAN
China Medical Equipment 2024;21(9):130-136
Objective:To study the risk model of medical equipment maintenance and repair based on system dynamics,and to solve the problems of frequent risk of corruption,high transaction prices and low procurement timeliness in the process of medical equipment maintenance and repair.Methods:The risk matrix was formed by analyzing the procurement risk of medical equipment maintenance and warranty,and the risk matrix was drawn.The system dynamics model was constructed around the price risk,schedule risk and corruption risk of medical equipment maintenance procurement,and the causal relationship and feedback effect between the risk influencing factors of medical equipment maintenance procurement were revealed through the construction of causality diagram and stock flow diagram.The risk change effects of the PLA General Hospital's application of the system dynamics-based medical equipment maintenance and procurement risk model in practice in 2022 was compared.Results:After the application of risk management control based on system dynamics model,the increase of procurement price risk decreased from 0.54 before control to 0.27,the increase of corruption risk decreased from 0.27 before control to 0.05,and the increase of schedule risk decreased slowly.After lowering the risk threshold,the increase of price risk and price risk decrease significantly.When the risk threshold was reduced from 60 to 40,the project success rate was increased by 6.52%and the rate of doubts and complaints decreased by 6.61%.Conclusion:The medical equipment maintenance risk model based on system dynamics strictly manages the procurement demand side,implements price limit and price review management,and can effectively eliminate the corruption risk and schedule risk derived from price risk by optimizing the procurement method,building the negotiation price limit model and improving the price review and pricing mechanism.