Dissecting delays in trauma care using corporate Lean Six Sigma methodology
Abstract
OBJECTIVE: The Institute of Medicine has identified trauma center overcrowding as a crisis. We applied corporate Lean Six Sigma methodology to reduce overcrowding by quantifying patient dwell times in trauma resuscitation units (TRU) and to identify opportunities for reducing them. METHODS: TRU dwell time of all patients treated at a Level I trauma center were measured prospectively during a 3-month period (n = 1,184). Delays were defined as TRU dwell time >6 hours. Using personnel trained in corporate Lean Six Sigma methodology, we created a detailed process map of patient flow through our TRU and measured time spent at each step prospectively during a 24/7 week-long time study (n = 43). Patients with TRU dwell time below the median (3 hours) were compared with those with longer dwell times to identify opportunities for improvement. RESULTS: TRU delays occurred in 183 of 1,184 trauma patients (15%), and peaked on days with >15 patients or with presence of five simultaneous patients. However, 135 delays (74%) occurred on days when </=15 patients were treated. Six Sigma mapping identified four processes that were related to TRU delays. Reduction of TRU dwell time by 1 hour per patient using interventions targeting these specific processes has the potential to improve our TRU capacity to care for more patients. CONCLUSION: Application of corporate Lean Six Sigma methodology identified opportunities for reducing dwell times in our TRU. Such endeavors are vital to maximize operational efficiency and decrease overcrowding in busy trauma centers working at capacity.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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 [82]
Cites
Overcrowding in the nation’s emergency departments: Complex causes and disturbing effects
Derlet, R. W., & Richards, J. R. (2000) · Annals of Emergency Medicine · doi:10.1016/s0196-0644(00)70105-3 · Cited by 1,052 · see citing works
Sprivulis, P., Silva, J. D., Jacobs, I. G., Jelinek, G. A., & Frazer, A. R. L. (2006) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.2006.tb00203.x · Cited by 760 · see citing works
Sprivulis, P., Silva, J. D., Jacobs, I. G., Frazer, A. R. L., & Jelinek, G. A. (2006) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.2006.tb00416.x · Cited by 757 · see citing works
Hospital-based emergency care: at the breaking point
(2008) · Choice Reviews Online · doi:10.5860/choice.45-2635 · Cited by 492 · see citing works
National Hospital Ambulatory Medical Care Survey: 2003 emergency department summary
Burt, C. W., & McCaig, L. F. (2005) · Cited by 464 · see citing works
Emergency department crowding and thrombolysis delays in acute myocardial infarction
Schull, M. J., Vermeulen, M. J., Slaughter, G., Morrison, L. J., & Daly, P. (2004) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2004.05.004 · Cited by 402 · see citing works
Redesigning emergency department patient flows: application of Lean thinking to health care
King, D. L., Ben‐Tovim, D. I., & Bassham, J. (2006) · Emergency Medicine Australasia · doi:10.1111/j.1742-6723.2006.00872.x · Cited by 279 · see citing works
Olshaker, J. S., & Rathlev, N. K. (2006) · Journal of Emergency Medicine · doi:10.1016/j.jemermed.2005.05.023 · Cited by 239 · see citing works
Increased health care costs associated with ED overcrowding
Krochmal, P., & Riley, T. A. (1994) · The American Journal of Emergency Medicine · doi:10.1016/0735-6757(94)90135-x · Cited by 167 · see citing works
Frankel, H. L., Credè, W. B., Topal, J. E., Roumanis, S. A., Devlin, M. W., & Foley, A. (2005) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2005.04.027 · Cited by 109 · see citing works
Self-citationImplementing Six Sigma in The Netherlands
van den Heuvel, J., Does, R. J. M. M., Bogers, A. J. J. C., & Berg, M. (2006) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(06)32051-x · Cited by 53 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Lean Thinking in Emergency Departments: A Critical Review
Holden, R. J. (2011) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2010.08.001 · Cited by 516 · see citing works
- Authors
- Parks, J. K., Klein, J., Frankel, H. L., Friese, R. S., & Shafi, S.
- Affiliations
- Parkland Memorial Hospital (US)
- Venue
- Journal of Trauma: Injury, Infection & Critical Care
- Published
- 2008-11
- Volume
- 65
- Issue
- 5
- Pages
- 1098-1105
- ISSN
- 0022-5282 (ISSN-L)
- OpenAlex
- W2072220490
- Cited by
- 43
- References
- 11
- Citations by year
- 2026: 1 · 2023: 1 · 2022: 1 · 2020: 2 · 2019: 1 · 2018: 5 · 2017: 3 · 2016: 5 · 2015: 7 · 2014: 7 · 2013: 4 · 2012: 1
- FWCI
- 2.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Trauma: Injury, Infection, and Critical Care (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Emergency Medical Services › Healthcare Operations and Scheduling Optimization
- Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
- Health Sciences › Medicine › Emergency Medicine › Trauma and Emergency Care Studies
- Keywords
- process delays, Lean Six Sigma, process mapping, time study, patient flow, operational efficiency
- MeSH terms
- Emergency Service, Hospital, Patient Care, Humans, Length of Stay, Outcome and Process Assessment, Health Care, Time Factors, Trauma Centers, Urban Population, Wounds and Injuries, Process Assessment, Health Care, Efficiency, Organizational, Total Quality Management
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