Literature DB >> 29523411

Applying Lean-Six-Sigma Methodology in radiotherapy: Lessons learned by the breast daily repositioning case.

Pietro Mancosu1, Giorgia Nicolini2, Giulia Goretti3, Fiorenza De Rose4, Davide Franceschini4, Chiara Ferrari5, Giacomo Reggiori6, Stefano Tomatis6, Marta Scorsetti7.   

Abstract

BACKGROUND &
PURPOSE: Lean Six Sigma Methodology (LSSM) was introduced in industry to provide near-perfect services to large processes, by reducing improbable occurrence. LSSM has been applied to redesign the 2D-2D breast repositioning process (Lean) by the retrospective analysis of the database (Six Sigma). MATERIALS &
METHODS: Breast patients with daily 2D-2D matching before RT were considered. The five DMAIC (define, measure, analyze, improve, and control) LSSM steps were applied. The process was retrospectively measured over 30 months (7/2014-12/2016) by querying the RT Record&Verify database. Two Lean instruments (Poka-Yoke and Visual Management) were considered for advancing the process. The new procedure was checked over 6 months (1-6/2017).
RESULTS: 14,931 consecutive shifts from 1342 patients were analyzed. Only 0.8% of patients presented median shifts >1 cm. The major observed discrepancy was the monthly percentage of fractions with almost zero shifts (AZS = 13.2% ± 6.1%). Ishikawa fishbone diagram helped in defining the main discrepancy con-causes. Procedure harmonization involving a multidisciplinary team to increase confidence in matching procedure was defined. AZS was reduced to 4.8% ± 0.6%. Furthermore, distribution symmetry improvement (Skewness moved from 1.4 to 1.1) and outlier reduction, verified by Kurtosis diminution, demonstrated a better "normalization" of the procedure after the LSSM application.
CONCLUSIONS: LSSM was implemented in a RT department, allowing to redesign the breast repositioning matching procedure.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; Failure Mode and Effect Analysis (FMEA); Lean-Six-Sigma Methodology (LSSM); Quality in radiotherapy

Mesh:

Year:  2018        PMID: 29523411     DOI: 10.1016/j.radonc.2018.02.019

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  3 in total

1.  Retrospective study on performance of constancy check device in Linac beam monitoring using Statistical Process Control.

Authors:  Bipasha Pal; Angshuman Pal; Suresh Das; Soura Palit; Papai Sarkar; Subhayan Mondal; Suman Mallik; Jyotirup Goswami; Sayan Das; Arijit Sen; Monidipa Mondol
Journal:  Rep Pract Oncol Radiother       Date:  2019-12-10

2.  Optimizing efficiency and safety in external beam radiotherapy using automated plan check (APC) tool and six sigma methodology.

Authors:  Shi Liu; Karl K Bush; Julian Bertini; Yabo Fu; Jonathan M Lewis; Daniel J Pham; Yong Yang; Thomas R Niedermayr; Lawrie Skinner; Lei Xing; Beth M Beadle; Annie Hsu; Nataliya Kovalchuk
Journal:  J Appl Clin Med Phys       Date:  2019-08       Impact factor: 2.102

3.  The need for dedicated time for medical physicists practice quality improvement efforts in radiation oncology department: A commentary.

Authors:  Richard Zellars; Christopher Njeh; Scott Marquette
Journal:  J Appl Clin Med Phys       Date:  2022-01-18       Impact factor: 2.102

  3 in total

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