Construction of whole-process management system for smart pharmacy based on the integration of traceability codes and drug batch numbers
- VernacularTitle:基于追溯码和药品批号融合的智慧药房全流程管理体系构建
- Author:
Ziyang ZHANG
1
;
Danyan SHAO
1
;
Junjuan FAN
1
;
Jian’an BAO
1
;
Jingjing MA
1
Author Information
1. Dept. of Pharmacy,the Fourth Affiliated Hospital of Soochow University,Jiangsu Suzhou 215000,China
- Publication Type:Journal Article
- Keywords:
drug traceability code;
batch number;
code pool;
central pharmacy;
split drugs;
closed-loop management;
smart
- From:
China Pharmacy
2026;37(5):565-570
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To construct a whole-process management system for the smart pharmacy based on the integration of drug batch numbers and traceability codes, aiming to solve the problems of low upload rates and traceability difficulties of drug traceability codes in the central pharmacy, and to enhance its level of refined management and medication safety. METHODS Following the FOCUS-PDCA framework(find,organize,clarify,understand,select-plan,do,check,act), a drug batch number and traceability code management system was established by optimizing batch number management processes, introducing “pre-scan registration” technology, and establishing a dynamic “code pool” mechanism. Based on medical insurance upload data and operational performance indicators in our hospital from June to August 2025, the differences in management efficacy before and after the implementation of the system were compared and analyzed. RESULTS The drug batch number and traceability code management system was successfully established, achieving “one-object, one-code” whole-process association with batch numbers for inpatient drugs, especially split drugs. After the application of this system, the upload rate of inpatient drug traceability codes reached 100%, significantly higher than the average upload rate of inpatient drugs in other tertiary hospitals in our city (with the highest rate being only 23.22%, P <0.001). The inventory stocktaking error rate dropped from 0.9% to 0.3% (a decrease of 66.7%); the number of daily dispensing errors decreased from 1.43 to 0.37; the dispensing time (14.75 min) for temporary medical orders recovered to the routine level (14.42 min) prior to the system implementation. CONCLUSIONS By adopting the “pre-scan registration-code pool management-closed-loop traceability” model, this system enables traceability for individual drug products in their smallest packaging units, improves the upload rate of traceability codes, significantly reduces the medication dispensing error rate, and does not increase the time cost for temporary medical order dispensing, thereby balancing efficiency with closed-loop traceability.