Research on management decision-making of neurology medical devices based on value-driven maintenance
10.3969/J.ISSN.1672-8270.2023.12.032
- VernacularTitle:基于价值驱动维修的神经内科医疗器械管理决策研究
- Author:
Li MA
1
;
Na LIANG
;
De-Lan ZHANG
Author Information
1. 联勤保障部队第九四〇医院综合内科 甘肃 兰州 730070
- Keywords:
Value-driven maintenance(VDM);
Asset utilization rate;
Management costs;
Resource allocation
- From:
China Medical Equipment
2023;20(12):155-160
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the application value of value-driven maintenance(VDM)method in management decision-making of neurology medical devices.Methods:Based on the VDM management method,a medical device maintenance management method was developed from five dimensions of asset utilization,cost control,reliability engineering,plan preparation and maintenance implementation.394 neurology medical devices in clinical use in the hospital were selected and divided into a control group(305 items)and an observation group(327 items,including 238 items in the control group and 89 newly added items)according to different management models.The control group adopted the traditional model,and the observation group adopted the VDM model for management.The management quality,technical support quality,production link quality score and supply quality qualification rate were compared between the two groups.Results:The number of device failures in the observation group was(1.34±1.02)times/year,which was lower than that in the control group;the startup rate,operation quality satisfaction and maintenance satisfaction were(95.66±5.27)%,(90.18±5.18)%and(89.39±6.19)%,respectively,which were higher than those in the control group,the difference was statistically significant(t=3.018,t=3.482,t=4.203,t=4.109;P<0.05).The increase in device maintenance time,failure response time and management cost in the observation group were(4.58±1.85)hours,(2.57±1.10)hours and(1.28±0.62)%respectively,which were higher than those in the control group,the difference was statistically significant(t=4.983,t=3.498,t=3.101;P<0.05).The quality scores of instrument recovery,packaging,sterilization and storage of sterile items in the observation group were(93.29±4.28)points,(94.18±3.19)points,(93.18±4.22)points and(95.14±3.37)points,respectively,which were higher than those in the control group,the difference was statistically significant(t=4.008,t=4.586,t=3.947,t=5.285;P<0.05).The quality qualification rates of instrument recovery,cleaning,packaging,disinfection,sterilization,storage and transportation of the observation group were 96.45%(315/327),97.22%(318/327),98.19%(321/327),95.49%(312/327),100.0%(327/327),99.69%(326/327)and 98.96%(324/327),which were higher than those of the control group,the difference was statistically significant(x2=3.294,x2=3.925,x2=4.327,x2=3.198,x2=3.085,x2=3.048,x2=4.193;P<0.05).Conclusion:The application of VDM-based decision-making model for medical device maintenance management in the management of neurology medical devices can evaluate the effectiveness of maintenance activities,reduce the device failure rate and maintenance costs,improve the supply quality qualification rate of each link,and improve the clinical service level of neurology medical devices.
