Design for assisted management system based on disease DRG for medical consumables
10.3969/j.issn.1672-8270.2025.11.016
- VernacularTitle:基于疾病诊断相关分组的医用耗材辅助管理系统设计
- Author:
Jiwu LYU
1
;
Kejun LI
;
Wansong ZHENG
;
Zhanming WANG
;
Hua ZONG
;
Xiang XU
;
Wenxing GU
Author Information
1. 空军军医大学唐都医院信息科 西安 710032
- Publication Type:Journal Article
- Keywords:
Medical consumables;
Diagnosis related groups(DRG);
Knowledge graph;
Demand analysis;
Cost control
- From:
China Medical Equipment
2025;22(11):97-103
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To design an assisted management system for medical consumables that integrated management logic of diagnosis related groups(DRG)for disease,so as to standardize the use for medical consumables and to strengthen regulatory efficiency.Methods:The system was designed by a microservices architecture,and the data fusion of business data,data of diagnosis and treatment,and DRG data was realized through constructed data lake.A knowledge graph of associated rule for medical consumables was established,and the intelligent analysis function included prediction for demand,usage optimization,and anomaly detection was provided to assist management decision-making on the basis of inference for historical data and knowledge,and multi-dimensional data queries.A rule engine was deployed at key clinical nodes for real-time compliance review and intelligent alerts.A DRG-based business management process was constructed to cover full lifecycle of consumables,including admission,procurement,warehousing,storage,requisition,usage billing,and traceability,so as to realize real-time monitoring and early warning for consumable costs at the DRG level.Six clinical doctors with 2-3 years of experience in using medical consumable were selected as test users from Tangdu Hospital of the Air Force Medical University,and they were randomly assigned into a system group and a control group,with 3 subjects in each group.The system group utilized the auxiliary management system for medical consumable to perform prediction for the demand of monthly procurement,and rationality verification of consumable.The control group relied on individual experience of doctors.The predicted monthly procurement demand for medical consumables,the accuracy of verifying rationality of using medical consumables between two groups were compared,and the efficiencies of two kinds of management modes also were compared.Results:The accuracy rate of system group was 89.17%in predicting the monthly procurement demand for medical consumables,and the rate of checking accuracy and the rate of checking comprehensiveness of system group were respectively 87.50%and 91.67%in verifying rationality of using medical consumables,which were significantly higher than those of control group,and the differences were significant(x2=6.62,1.96,16.73,P<0.05).The durations of predicting the demand for procurement,and verifying and testing the rationality of consumables in system group were significantly shorter than these in control group[(3.54±0.45)s,(2.23±0.15)s],and the differences were statistically significant(t=1.97,1.65,P<0.05).Conclusion:The medical consumables auxiliary management system integrated with DRG management logic can significantly enhance the accuracy of monthly demand prediction for consumables and the recall rate and precision rate of rationality verification for consumables usage,while greatly improving work efficiency.It is conducive to enhancing the standardized and refined supervision level of consumables usage.
