Cited by 16Healthcare Quality and ManagementEmergency and Acute Care StudiesHealthcare Operations and Scheduling Optimization

Application of Lean Six Sigma for patients presenting with ST-elevation myocardial infarction: the Hamilton Health Sciences experience

Aldarrab, Ayad, Fernandes, Christopher, Velianou, James, Natarajan, Madhu, Zimmerman, Rosanne, Smith, Rhonda, Smith, Teresa, Pickering, Jennifer·2006·Healthcare Quarterly

Abstract

Most patients with symptomatic acute myocardial infarction (AMI), the leading cause of death in western industrialized nations, use the emergency department (ED) as their point of entry. Yet, one identified barrier to early recognition of patients with AMI is ED overcrowding. In this paper, the author presents a quality improvement model that applies Lean Six Sigma guidelines to the clinical setting.

Integrity signals

Registry

Crossref · 10.12927/hcq.2006.17905

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Three studies combined Lean with Six Sigma, and another also borrowed from many other manufacturing philosophies.

    “Three studies [69, 82, 83] combined Lean with Six Sigma, a quality improvement method based on minimizing variability, while another also “borrowed from many other manufacturing philosophies” [71].”

    From Lean Thinking in Emergency Departments: A Critical Review (2011) · cites this paper as [69]

  • Not every study adequately reported pre- and post metrics; in some cases measures of success were taken but not reported, patient satisfaction was not described, statistical tests were not used, or no numerical data were given.

    “Fourth, not every study adequately reported pre- and post metrics. In some cases, “measures of success” (e.g., door-to-balloon time, door-to-needle-time) were taken but not reported [69]. In others, measures such as patient satisfaction were not described [83], statistical tests were not used to test pre-post differences [20, 75], or no numerical data were given to support reported changes [83]”

    From Lean Thinking in Emergency Departments: A Critical Review (2011) · cites this paper as [69]

Cited by

Sorted by citations

Authors
Aldarrab, A., Fernandes, C., Velianou, J., Natarajan, M., Zimmerman, R., Smith, R., Smith, T., & Pickering, J.
Affiliations
McMaster University (CA)
Venue
Healthcare Quarterly
Published
2006-01-15
Volume
9
Issue
1
Pages
56-61
ISSN
  • 1710-2774 (ISSN-L)
  • 1929-6347
OpenAlex
W2076695698
Cited by
16
References
0
Citations by year
2020: 1 · 2019: 1 · 2018: 1 · 2017: 1 · 2015: 1 · 2014: 2 · 2013: 1 · 2012: 1
FWCI
2.92
Type
journal article
Language
en
Open access
closed
Locations
  • Healthcare Quarterly (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Healthcare Quality and Management
  • Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
  • Health Sciences › Health Professions › Emergency Medical Services › Healthcare Operations and Scheduling Optimization
Keywords
Lean Six Sigma, ST-elevation myocardial infarction, acute myocardial infarction, emergency department overcrowding, quality improvement, emergency department workflow
MeSH terms
Crowding, Electric Countershock, Electrocardiography, Emergency Service, Hospital, Humans, Institutional Management Teams, Myocardial Infarction, Ontario, Quality Assurance, Health Care, Software Design, Time Factors, Thrombolytic Therapy, Process Assessment, Health Care, Models, Organizational, Practice Guidelines as Topic, Benchmarking

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review