Abstract
Objective:To construct a multi-level extension model of big data technology platform,and to explore its application value in improving the quality of pediatric equipment management in hospitals.Methods:Based on the big data technology platform architecture,the whole process management design of pediatric equipment was carried out,and a multi-level extension model was constructed to monitor and evaluate the operation status of pediatric equipment in real time.The medical equipment in clinical use in the Department of Pediatrics of First Affiliated Hospital of PLA Air Force Medical University from 2022 to 2023 was selected,and 141 devices in clinical use from January to December 2022 were evaluated by post-experience evaluation method,and 153 devices in clinical use from January to December 2023 were evaluated by multi-level extension evaluation method.60 pediatric devices were randomly inspected under the two management methods respectively,and the pediatric device management level scores and equipment quality management ability scores of hospitals with different management methods were compared.The satisfaction of engineers,doctors,equipment managers and related department managers involved in equipment use management with different management methods were investigated by using a self-made questionnaire.Results:The average scores of pediatric equipment resource allocation,technical support,information basis and management benefit using the multi-level extension evaluation method were(92.36±4.65),(90.47±3.26),(91.56±3.36)and(93.26±3.68),respectively,which were higher than those of the post-experience evaluation method,the difference was statistically significant(t=17.495,18.551,19.705,17.208,P<0.05).The satisfaction scores of engineers,doctors,equipment managers and managers of relevant departments for pediatric equipment management using the multi-level extension evaluation method was(92.69±3.11)points,(93.62±4.95)points,(92.54±3.23)points and(94.57±4.69)points,respectively,which were higher than those of the post-experience evaluation method,the difference was statistically significant(t=12.526,10.215,14.852,11.644,P<0.05).The equipment completeness rate,timely maintenance rate and standard placement rate of the multi-level extension evaluation method were 96.67%(58/60),95%(57/60)and 95%(57/60),respectively,which were higher than those of the post-experience evaluation method,and the equipment failure rate was 3.33%(2/60),which was lower than that of the post-experience evaluation method,the difference was statistically significant(x2=11.582,12.987,14.249,11.580,P<0.05).Conclusion:The application of multi-level extension model of big data technology platform solves the complicated problem of redundant management of pediatric medical equipment,which can improve the accuracy of equipment quality management evaluation,improve the operation quality of pediatric equipment in hospitals,improve the equipment use safety,and reduce the equipment operation risk and adverse event incidence.关键词
大数据技术/可拓学/多级可拓模型/质量管理/预警干预Key words
Big data technology/Extendology/Multi-level extension model/Quality management/Early warning intervention分类
医药卫生
