OBJECTIVE

2

To build a new workflow of pharmacy intravenous admixture services （PIVAS）， effectively connect intelligent equipment， and promote the intelligent development of PIVAS.

METHODS

2

Based on intelligent auxiliary equipment， PIVAS workflow was optimized， and a process-oriented model was established. This model integrated intelligent prescription review （automatic prescription review+manual intervention mode）， intelligent labeling， intelligent allocation， intelligent sorting， and finished infusion quality inspection system. Furthermore， an assessment was conducted to examine unreasonable medical order rate of intelligent prescription review， the working efficiency and error rate of intelligent labeling machine and intelligent sorting machine， and the dispensing efficiency and accuracy of intelligent dispensing robot.

RESULTS

2

Under the intelligent prescription review mode， the rate of unreasonable medical orders decreased from 0.157% to 0.050% （

P

＜0.05）； automatic labeling efficiency reached 21.7 sheets/min， surpassing the manual labeling efficiency of 13.8 sheets/min （

P

＜0.05）， and the daily labeling error rate decreased from 6.1‰ to 2.5‰ （

P

＜0.05）. Simultaneously operating two dispensing robots significantly improved the efficiency of batch dispensing and reduced the residual amount of liquid medicine （

P

＜0.05）； additionally， a quality testing system for finished infusion was established， involving appearance， Tyndall effect， insoluble particles， turbidity， absorbance， pH and osmotic pressure， to ensure the quality of finished infusion and reduce the risk of infusion.

CONCLUSIONS

2

The new process of PIVAS connected with intelligent devices in our hospital can improve work efficiency， reduce dispensing errors， ensure the quality of finished infusion， and improve the level of pharmaceutical care.