Exploration of diagnosis-intervention packet cost analysis and refined management based on hospital intelligent agents
10.3760/cma.j.cn111325-20230305-00175
- VernacularTitle:基于医院智能体的DIP成本分析与精细化管理探索
- Author:
Jiang JIANG
1
;
Liguo WANG
;
Guowei LI
;
Shuhua CHEN
;
Pingyang WU
;
Chunru ZOU
;
Junzhang TIAN
Author Information
1. 广东省第二人民医院，广州 510317
- Keywords:
Hospitals, public;
Intelligent agent;
DIP cost;
Analysis;
Refined management
- From:
Chinese Journal of Hospital Administration
2023;39(10):743-748
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the cost of diagnosis-intervention packet(DIP) in a certain hospital in 2021 based on hospital intelligent agents, so as to provide feasible ideas for refined management of DIP costs.Methods:On the basis of the construction of the hospital intelligent agent platform and the results of project cost accounting in the early stage, a total of 60 187 cases and 4 860 DIP diseases in the hospital in 2021 were selected as the research objects. The project superposition method was applied to calculate the unit cost of all DIP diseases in the hospital. Based on the results of DIP cost accounting, the ideas and methods of fine management of DIP costs were explored from the perspectives of DIP disease classification, management of all hospital diseases and medical insurance diseases, vertical and horizontal comparative analysis of DIP costs, and management of medical insurance cases and non medical insurance cases under the same DIP disease category.Results:Twenty-two advantageous DIP disease types, 67 key disease types, 1 590 potential disease types, and 3 181 disadvantageous disease types were identified. Introducing medical income as an intermediate indicator facilitated the classification of DIP disease types under medical insurance, 1 072 advantageous disease types, 917 key disease types, 458 potential disease types, and 815 disadvantageous disease types in medical insurance were identified. Through refined accounting, it was found that the average cost of non medical insurance cases under the same DIP disease category was generally higher than that of medical insurance cases, and there were differences in DIP costs at different levels during different time periods.Conclusions:By determining and analyzing the advantages and disadvantages of disease types in the entire hospital, common problems of disease types under the same category can be identified, and targeted control measures can be proposed. By analyzing the two dimensions of medical insurance surplus and medical surplus, the advantages and disadvantages of medical insurance diseases can be quickly determined, providing a lever for the control of medical insurance diseases. The horizontal and vertical comparative analysis of DIP costs, as well as the analysis of medical insurance cases and non medical insurance cases under the same DIP disease category, can provide feasible methods for hospitals to manage DIP costs at multiple levels and dimensions.
