Literature DB >> 20651175

Evaluation of MRI acquisition workflow with lean six sigma method: case study of liver and knee examinations.

Christopher J Roth1, Daniel T Boll, Lisa K Wall, Elmar M Merkle.   

Abstract

OBJECTIVE: The purpose of this investigation was to assess workflow for medical imaging studies, specifically comparing liver and knee MRI examinations by use of the Lean Six Sigma methodologic framework. The hypothesis tested was that the Lean Six Sigma framework can be used to quantify MRI workflow and to identify sources of inefficiency to target for sequence and protocol improvement. SUBJECTS AND METHODS: Audio-video interleave streams representing individual acquisitions were obtained with graphic user interface screen capture software in the examinations of 10 outpatients undergoing MRI of the liver and 10 outpatients undergoing MRI of the knee. With Lean Six Sigma methods, the audio-video streams were dissected into value-added time (true image data acquisition periods), business value-added time (time spent that provides no direct patient benefit but is requisite in the current system), and non-value-added time (scanner inactivity while awaiting manual input).
RESULTS: For overall MRI table time, value-added time was 43.5% (range, 39.7-48.3%) of the time for liver examinations and 89.9% (range, 87.4-93.6%) for knee examinations. Business value-added time was 16.3% of the table time for the liver and 4.3% of the table time for the knee examinations. Non-value-added time was 40.2% of the overall table time for the liver and 5.8% for the knee examinations.
CONCLUSION: Liver MRI examinations consume statistically significantly more non-value-added and business value-added times than do knee examinations, primarily because of respiratory command management and contrast administration. Workflow analyses and accepted inefficiency reduction frameworks can be applied with use of a graphic user interface screen capture program.

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Year:  2010        PMID: 20651175     DOI: 10.2214/AJR.09.3678

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  5 in total

1.  Optimization of MRI Turnaround Times Through the Use of Dockable Tables and Innovative Architectural Design Strategies.

Authors:  Michael P Recht; Kai Tobias Block; Hersh Chandarana; Jennifer Friedland; Thomas Mullholland; Donal Teahan; Roy Wiggins
Journal:  AJR Am J Roentgenol       Date:  2019-02-26       Impact factor: 3.959

2.  Identifying radiological needs of referring clinicians.

Authors:  Li Zhang; Antje Hefke; Jens Figiel; Ulrike Schwarz; Marga Rominger; Klaus Jochen Klose
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

3.  Automated Billing Code Retrieval from MRI Scanner Log Data.

Authors:  Jonas Denck; Wilfried Landschütz; Knud Nairz; Johannes T Heverhagen; Andreas Maier; Eva Rothgang
Journal:  J Digit Imaging       Date:  2019-12       Impact factor: 4.056

4.  The Cinderellas of the scanner: Magnetic resonance imaging 'pre-scan' and 'post-scan' times: Their determinants and impact on patient throughput.

Authors:  Marthinus B van Rooyen; Richard D Pitcher
Journal:  SA J Radiol       Date:  2020-12-01

Review 5.  [Economic aspects of low-field magnetic resonance imaging : Acquisition, installation, and maintenance costs of 0.55 T systems].

Authors:  Jan Vosshenrich; Hanns-Christian Breit; Michael Bach; Elmar M Merkle
Journal:  Radiologe       Date:  2022-03-29       Impact factor: 0.803

  5 in total

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