Construction and application of a refined intelligent management platform for the supply chain of hospital preparations
- VernacularTitle:医疗机构制剂供应链精细化智能管理平台的构建与应用
- Author:
Yuying CHAI
1
;
Qi WU
1
;
Xiang TAO
1
;
Chunge ZHANG
1
Author Information
1. Dept. of Pharmacy，The First Affiliated Hospital of Soochow University，Jiangsu Suzhou 215006，China
- Publication Type:Journal Article
- Keywords:
demand forecasting;
inventory alert;
expiry date alert;
intelligent management;
machine learning;
classical time series model
- From:
China Pharmacy
2026;37(17):2315-2319
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To construct a refined intelligent management platform for the supply chain of hospital preparations and to evaluate its implementation effectiveness.METHODS Machine learning and classical time series model were used to predict the demand for hospital preparations. Based on the prediction results， an intelligent management platform was constructed around each link of the supply chain of hospital preparations， which included three functional modules： intelligent auxiliary decision-making， daily expiry date monitoring， and intelligent push and continuous improvement. By comparing indicators such as the mean of average inventory turnover days of each preparation， average monthly expired and scrapped amount， and average clinical satisfaction before and after the application of the platform in the First Affiliated Hospital of Soochow University， the application effectiveness was evaluated from three dimensions: cost control， operational efficiency， and pharmaceutical care service quality.RESULTS The constructed intelligent management platform could automatically generate dynamic inventory grading alerts， production plan suggestions， material procurement suggestions， and expiry date alerts， and intelligently push them to relevant responsible persons. Compared with before the application， in terms of cost control， the mean of average inventory turnover days of each preparation was shortened from 64.1 days to 48.4 days， and the average monthly expired and scrapped amount was reduced from 1 973 yuan to 1 369 yuan； in terms of operational efficiency， the average time for production plan formulation was shortened from 120 min to 60 min， and the average lag days of expiry date alert information was shortened from 15 days to 0.5 days； in terms of pharmaceutical care service quality， the average clinical satisfaction increased from 85.4% to 94.6%.CONCLUSIONS The refined intelligent management platform for the supply chain of hospital preparations has been successfully constructed， which can assist managers in decision-making regarding production plan formulation， procurement， and disposal of near-expiry preparations and materials， thereby achieving the purpose of cost reduction and efficiency improvement.
