A New Drug-Shelf Arrangement for Reducing Medication Errors using Data Mining: A Case Study

Zeynep Ceylan; Seniye Ümit Fırat

doi:10.19113/sdufbed.14205

A New Drug-Shelf Arrangement for Reducing Medication Errors using Data Mining: A Case Study

Öz

Medication errors are common, fatal, costly but preventable. Location of drugs on the shelves and wrong drug names in prescriptions can cause errors during dispensing process. Therefore, a good drug-shelf arrangement system in pharmacies is crucial for preventing medication errors, increasing patient’s safety, evaluating pharmacy performance, and improving patient outcomes. The main purpose of this study to suggest a new drug-shelf arrangement for the pharmacy to prevent wrong drug selection from shelves by the pharmacist. The study proposes an integrated structure with three-stage data mining method using patient prescription records in database. In the first stage, drugs on prescriptions were clustered depending on the Anatomical Therapeutic Chemical (ATC) classification system to determine associations of drug utilizations. In the second stage association rule mining (ARM), well-known data mining technique, was applied to obtain frequent association rules between drugs which tend to be purchased together. In the third stage, the generated rules from ARM were used in multidimensional scaling (MDS) analysis to create a map displaying the relative location of drug groups on pharmacy shelves. The results of study showed that data mining is a valuable and very efficient tool which provides a basis for potential future investigation to enhance patient safety.

Anahtar Kelimeler

Association rules,Data mining; Drug-shelf arrangement; Medication errors; Multi-dimensional scaling

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

-

Bölüm

-

Yazarlar

Zeynep Ceylan Bu kişi benim

Seniye Ümit Fırat
Türkiye

Yayımlanma Tarihi

19 Eylül 2017

Gönderilme Tarihi

25 Ekim 2016

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2017 Cilt: 21 Sayı: 3

DOI

https://doi.org/10.19113/sdufbed.14205

IZ

https://izlik.org/JA78CC38CL

Kaynak Göster

RIS / Bibtex

APA

Ceylan, Z., & Fırat, S. Ü. (2017). A New Drug-Shelf Arrangement for Reducing Medication Errors using Data Mining: A Case Study. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 21(3), 774-781. https://doi.org/10.19113/sdufbed.14205

AMA

1.Ceylan Z, Fırat SÜ. A New Drug-Shelf Arrangement for Reducing Medication Errors using Data Mining: A Case Study. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2017;21(3):774-781. doi:10.19113/sdufbed.14205

Chicago

Ceylan, Zeynep, ve Seniye Ümit Fırat. 2017. “A New Drug-Shelf Arrangement for Reducing Medication Errors using Data Mining: A Case Study”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 21 (3): 774-81. https://doi.org/10.19113/sdufbed.14205.

EndNote

Ceylan Z, Fırat SÜ (01 Aralık 2017) A New Drug-Shelf Arrangement for Reducing Medication Errors using Data Mining: A Case Study. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 21 3 774–781.

IEEE

[1]Z. Ceylan ve S. Ü. Fırat, “A New Drug-Shelf Arrangement for Reducing Medication Errors using Data Mining: A Case Study”, Süleyman Demirel Üniv. Fen Bilim. Enst. Derg., c. 21, sy 3, ss. 774–781, Ara. 2017, doi: 10.19113/sdufbed.14205.

ISNAD

Ceylan, Zeynep - Fırat, Seniye Ümit. “A New Drug-Shelf Arrangement for Reducing Medication Errors using Data Mining: A Case Study”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 21/3 (01 Aralık 2017): 774-781. https://doi.org/10.19113/sdufbed.14205.

JAMA

1.Ceylan Z, Fırat SÜ. A New Drug-Shelf Arrangement for Reducing Medication Errors using Data Mining: A Case Study. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2017;21:774–781.

MLA

Ceylan, Zeynep, ve Seniye Ümit Fırat. “A New Drug-Shelf Arrangement for Reducing Medication Errors using Data Mining: A Case Study”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 21, sy 3, Aralık 2017, ss. 774-81, doi:10.19113/sdufbed.14205.

Vancouver

1.Zeynep Ceylan, Seniye Ümit Fırat. A New Drug-Shelf Arrangement for Reducing Medication Errors using Data Mining: A Case Study. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 01 Aralık 2017;21(3):774-81. doi:10.19113/sdufbed.14205

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