基于数据驱动的大型医疗影像设备运维管理模式研究OACSTPCD

Objective:To build a data-driven operation and maintenance management model for large-scale medical imaging equipment,and to analyze its application value in medical equipment management.Methods:The data-driven operation and maintenance management mode of large-scale medical imaging equipment was composed of operation and maintenance management mode architecture,equipment health status monitoring management platform architecture,historical data fault diagnosis model architecture and operation and maintenance management.16 medical imaging equipment in clinical use in Chengdu Public Health Clinical Medical Center from January 2020 to February 2022 were selected,and the traditional medical imaging equipment operation and maintenance management mode(referred to as traditional mode)and data-driven large-scale medical imaging equipment operation and maintenance management mode(referred to as data-driven mode)were adopted respectively for management according to different management modes.The imaging effect of equipment image,the frequency of equipment failure,the cost effectiveness of equipment and the satisfaction score of equipment management personnel were compared between the two management modes.Results:The scores of accuracy of diagnosis results,accuracy of patient information,image position qualification rate,image clarity,image pass rate,image quality rate and total image imaging score of the data-driven model were(9.78±1.25)points,(9.88±1.11)points,(9.54±1.08)points,(9.66±1.27)points and(9.83±1.43)points,(9.86±1.63)points and(58.55±1.44)points,respectively,which were higher than those in the traditional mode,the difference was statistically significant(t=4.958,5.268,6.522,4.327,9.765,3.923,21.474,P<0.05).The self-repair and human-made failures occurred 22 times and 10 times respectively in the data-driven model,which were lower than those of the traditional model,and 24 times of long-term use faults,which was higher than that of the traditional model,the difference was statistically significant(x2=4.363,4.294,18.692,P<0.05).The satisfaction scores of radiologists,equipment maintenance personnel,imaging technicians and patients with the data-driven mode were(94.52±6.15)points,(91.19±5.35)points,(89.27±4.93)points and(92.24±5.51)points,respectively,which were higher than those of the traditional mode,the difference was statistically significant(t=6.504,5.534,6.821,9.556,P<0.05).Conclusion:The operation and maintenance management mode based on data driven of large medical imaging equipment can improve the imaging quality of imaging equipment,reduce the incidence of failure,reduce equipment maintenance and maintenance costs,and improve user satisfaction.