Analysis of the Effect of Continuous Optimization of Drug Storage in Auto-matic Dispensing Machines Based on Data Mining Technology
OBJECTIVE Analyze the relevant data of automatic dispensing machines in outpatient pharmacies,design storage optimization plans,and improve the efficiency and accuracy of dispensing,providing reference for opti-mizing the drug storage positions of automatic dispensing machines.METHODS Based on data mining technology,analyze the dispensing data of the automatic dispensing machine in the CONSIS system of the hospital outpatient pharmacy from September 2022 to March 2023.Using the EIQ-ABC method to classify drugs,screen the types of drugs entering and exiting the machine,and then use the track utilization algorithm to quantitatively adjust the num-ber of drugs entering and exiting the machine,thereby improving the automation rate of drug dispensing.RESULTS Compared with before optimization(September 2022),after optimization(March 2023),the variety automation rate increased from 42.10％to 44.21％,the overall prescription rate increased from 33.84％to 37.28％(P＜0.05),the average medication taking time of patients decreased from 8.05 minutes to 6.45 minutes,and the average dispensing time of pharmacists decreased from 0.89 minutes to 0.78 minutes(P＜0.05).CONCLUSION Based on data mining technology,using multiple methods to design and optimize storage plans can more effectively improve allocation efficiency and accuracy,shorten patient retrieval time,and improve pharmaceutical service levels.
Data mining technologyAutomatic dispensing machineEIQ-ABC analysisTrack utilization algorithm
万方数据
维普
