Literature DB >> 30234447

Can Lean Six Sigma be used to reduce medication errors in the health-care sector?

Yaifa Trakulsunti1, Jiju Antony1.   

Abstract

Purpose The purpose of this paper is to present the implementation of Lean Six Sigma (LSS) to reduce medication errors, by using four case examples. The paper will also suggest appropriate Lean and Sigma tools to improve the medication process. Design/methodology/approach The authors critically analyze four case examples that used LSS projects, to demonstrate the approach, benefits, success factors and lessons learnt. Findings LSS is a powerful process improvement methodology that could be applied by health-care sectors to reduce medication errors, increase patient safety and reduce operational costs. Common Lean and Six Sigma tools play a significant role in improving and sustaining the medication process. Practical implications It is necessary for the project team to select the most appropriate LSS tools to address medication process problems. Adoption of a LSS roadmap could help health-care organizations in the successful implementation of LSS. Originality/value The paper is valuable for health-care professionals seeking to reduce errors in the medication process or other processes that need to be improved.

Entities:  

Keywords:  Health care; Lean; Lean Six Sigma; Medication errors; Six Sigma

Mesh:

Year:  2018        PMID: 30234447     DOI: 10.1108/LHS-09-2017-0055

Source DB:  PubMed          Journal:  Leadersh Health Serv (Bradf Engl)        ISSN: 1751-1879


  3 in total

1.  Reducing errors in the administration of medication with infusion pumps in the intensive care department: A lean approach.

Authors:  Alexander F van der Sluijs; Eline R van Slobbe-Bijlsma; Astrid Goossens; Alexander Pj Vlaar; Dave A Dongelmans
Journal:  SAGE Open Med       Date:  2019-01-02

2.  Theory-Based Failure Modes and Effect Analysis for Medication Errors.

Authors:  Saeid Jafarzadeh Ghoushchi; Shadi Dorosti; Mohd Nizam Ab Rahman; Marzieh Khakifirooz; Mahdi Fathi
Journal:  J Healthc Eng       Date:  2021-03-31       Impact factor: 2.682

3.  Lean Six Sigma Approach for Reducing Length of Hospital Stay for Patients with Femur Fracture in a University Hospital.

Authors:  Arianna Scala; Alfonso Maria Ponsiglione; Ilaria Loperto; Antonio Della Vecchia; Anna Borrelli; Giuseppe Russo; Maria Triassi; Giovanni Improta
Journal:  Int J Environ Res Public Health       Date:  2021-03-11       Impact factor: 3.390

  3 in total

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