The performance improvement of look-alike sound-alike drug pre-dispensing

Jongprasithporn Manutchanok; Sunkarat Wichai; Homsai Thanakorn; Sittiwanchai Teppakorn; Yodpijit Nantakrit

doi:10.1051/matecconf/201819201051

MATEC Web of Conferences (Jan 2018)

The performance improvement of look-alike sound-alike drug pre-dispensing

Jongprasithporn Manutchanok,
Sunkarat Wichai,
Homsai Thanakorn,
Sittiwanchai Teppakorn,
Yodpijit Nantakrit

Affiliations

Jongprasithporn Manutchanok: Department of Industrial Engineering, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang
Sunkarat Wichai: Department of Industrial Engineering, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang
Homsai Thanakorn: Department of Industrial Engineering, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang
Sittiwanchai Teppakorn: Center for Innovation in Human Factors Engineering and Ergonomics (CIHFE^2), Department of Industrial Engineering, Faculty of Engineering, King Mongkut's University of Technology North Bangkok
Yodpijit Nantakrit: Center for Innovation in Human Factors Engineering and Ergonomics (CIHFE^2), Department of Industrial Engineering, Faculty of Engineering, King Mongkut's University of Technology North Bangkok

DOI: https://doi.org/10.1051/matecconf/201819201051
Journal volume & issue: Vol. 192
p. 01051

Abstract

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Medical dispensing errors are common and classic human errors in the hospitals. Look-alike, Sound-alike (LASA) drug is one of the main issues in pre-dispensing and dispensing processes. The data in this study were observed from one middle size hospital in Thailand. In 2017, there were two months that the medication errors KPI (0.065 and 0.061) were greater than the accepted error threshold (0.06). The SBAR (Situation, Background, Assessment, and Recommendation) solution and HOSxP software were applied for three months in the pre-dispensing process to reduce the medical dispensing errors. The results showed that the medication errors KPI (0.04, 0.03, and 0.02, respectively) were reduced dramatically. Therefore, implementation of the SBAR and HOSxP software is recommended as a fast and easy solution for medical dispensing errors.

Published in MATEC Web of Conferences

ISSN: 2261-236X (Online)
Publisher: EDP Sciences
Country of publisher: France
LCC subjects: Technology: Engineering (General). Civil engineering (General)
Website: http://www.matec-conferences.org

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