[Objective] As the number of outpatient visits increases, optimizing the layout of pharmacy drugs can improve its service efficiency. [Methods] Firstly, we chose two departments with the largest number of prescriptions, which were divided into four sub groups with the K-means clustering method. Then, we used Apriori algorithm to explore the association rules among them. Finally, we obtained 31 effective drug layout rules and 18 effective drug class rules. [Results] We designed general layout rules for prescription drugs based on the collected data along with national drug storage and display standards, which were approved by the experts. [Limitations] We only studied prescription records from two departments, which might not yield the best association rules. [Conclusions] The proposed method could reduce the workload of pharmacists and the waiting time of patients, which improve the pharmacy services.
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