OBJECTIVE  To build a new model of intelligent pharmaceutical work based on drug traceability codes by integrating the practice of drug traceability codes collection and deeply analyzing its actual effect on drug management in medical institutions.

METHODS  A retrospective analysis was conducted on outpatient pharmacy dispensing data before and after the implementation of drug traceability codes collection based on intelligent drug dispensing machines. Key metrics included the dispensing error rate, patient medication return processing time, and patient satisfaction.

RESULTS  After the implementation of traceability codes collection, the error rate of drug dispensing was significantly lower than that before the implementation. The error rate of dispensing before the implementation was 0.013%, and after the implementation was 0.002%(P<0.001). Before the implementation of the traceability codes collection, the median duration of drug withdrawal treatment for patients was 5.78 min, and after the implementation, it was 5.20 min, which was significantly reduced by 0.58 min, with a decrease rate of 10%(P<0.05). Regarding satisfaction differences, no statistically significant variation was observed before and after traceability codes implementation, but it was positive.

CONCLUSION The research findings have formed a new model of intelligent pharmaceutical work relying on intelligent drug dispensing machines and with drug traceability codes as the core, achieving refined drug management with full-process traceability of “dispensing-distribution-returning drugs”. It can significantly reduce the error rate of drug dispensing, increase the speed of drug return processing, achieve precise drug return, improve the level of pharmaceutical affairs management, and safeguard the safety of patients’ medication.