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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (1): 99-108    DOI: 10.11925/infotech.2096-3467.2017.0946
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Optimizing Layouts of Outpatient Pharmacy Based on Association Rules
Yue He,Aixin Wang(),Yue Feng,Li Wang
Business School, Sichuan University, Chengdu 610065, China
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Abstract  

[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.

Key wordsAssociation Rule      Cluster Analysis      Pharmacy      Layout Optimization     
Received: 18 September 2017      Published: 05 February 2018

Cite this article:

Yue He,Aixin Wang,Yue Feng,Li Wang. Optimizing Layouts of Outpatient Pharmacy Based on Association Rules. Data Analysis and Knowledge Discovery, 2018, 2(1): 99-108.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.0946     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2018/V2/I1/99

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