Research on the application of data platform in refined management for medical consumables under DRG mode
10.3969/j.issn.1672-8270.2025.07.019
- VernacularTitle:数据中台在疾病诊断相关分组模式下医用耗材精细化管理中的应用研究
- Author:
Xinlei XU
1
;
Lin KANG
;
Chunliu LU
Author Information
1. 上海市第一人民医院后勤保障处 上海 200080
- Publication Type:Journal Article
- Keywords:
Data platform;
Medical consumables;
Refined management;
Diagnosis related groups(DRG);
Data warehouse;
Big data
- From:
China Medical Equipment
2025;22(7):99-106
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To build a data platform for medical consumables,so as to improve the management efficiency for medical consumables under the mode of diagnosis related groups(DRG)for disease.Methods:Based on the framework of data platform,the data extraction and transformation,data warehousing,big data analysis,and data mining were adopted to establish a data platform that can integrate rapid data integration,retrieval and statistics,and mining applications and other functions in one for medical consumables.A total of 122409 procurement records,2301337 records of incoming and outgoing inventory,and 740833 usage records of medical consumables at Shanghai General Hospital during March 2020 and July 2024 were selected.The data platform system and conventionally manual methods were respectively used to predict the total consumption amount of medical consumables during August to October 2024.The accuracy and duration of the predictive results between the two prediction modes were compared.In the usage records of medical consumables during August and October 2024,the usage records of 80 consumables with high price in the departments of orthopedics and neurosurgery were selected,and they were set as the tested objects after they were mixed with the un-rational usage records of 20 medical consumables that were manually set.Then,the detection functions of data platform system for rational usage of medical consumables were assessed.Results:The accuracy of the procurement plan of medical consumables that was assisted by the data platform of medical consumables closed to that of the conventional manual method,with an accuracy rate of 100%.The efficiency of generating plan was significantly better than that of conventional manual method,and the difference was statistically significant(t=1.987,P<0.05).In the application of rational analysis of the usage of medical consumables,both the accuracy rate and overall rate of the check of the data platform of medical consumables for the events of un-rational using medical consumables were equal to those of conventional method.However,the detection efficiency of the data platform of medical consumables was significantly better than that of conventional manual method,and the difference was statistically significant(t=1.972,P<0.05).Conclusion:The data platform of medical consumables connects various business links in management for medical consumables,which can reduce data barriers,and accelerate the conversion efficiency of data value by establishing data update,data governance,services of data application and other methods.It promotes the transformation of medical behavior from experience-driven to data-driven,and improves the refined level of management for medical consumables.
