scholarly journals Lean Six Sigma Methods Reduce and Sustain Troponin Turnaround Time (TAT) for Emergency Department Patients

2013 ◽  
Vol 140 (suppl 1) ◽  
pp. A237-A237 ◽  
Author(s):  
Paul Sullivan ◽  
Kim Cruise ◽  
Charles D. Callahan
2013 ◽  
Vol 137 (2) ◽  
pp. 220-227 ◽  
Author(s):  
Keith E. Volmar ◽  
David S. Wilkinson ◽  
Elizabeth A. Wagar ◽  
Christopher M. Lehman

Context.—Utilization of stat testing priority is a balance between safe, efficient patient management and resource expenditure. Objective.—To determine the rate of stat testing, compare rates among institutions, and determine the distribution of turnaround time expectations for different turnaround time priorities. Design.—During a 7-day period, participants prospectively determined the total number of chemistry, hematology, and coagulation billable tests from inpatients and emergency department patients. Among these, the total numbers of billable tests performed stat were identified. Laboratories also reported the levels of test priority they offered and turnaround expectations for each level of test priority. Results.—Fifty institutions submitted data for the study, with 2 additional participants submitting partial results. Participants identified 639 589 chemistry, hematology, and coagulation billable tests, with 229 896 (35.9%) performed stat. The stat rate varied from 21.3% at the 10th percentile to 55.4% at the 90th percentile, with a median of 37.0% of participants' tests performed stat. Laboratories include a mean of 206 tests in chemistry, hematology, and coagulation test menus, with 67% of these tests offered stat. The fraction of the test menu offered stat varied from 29.0% at the 10th percentile to 97.8% at the 90th percentile, with a median of 73.3% of tests on the menu offered stat. The most common number of testing priorities offered by participating laboratories was 3 (44.2%). Conclusions.—Among the 52 participating laboratories, the median stat testing rate was 37.0% and a median 73.3% of the test menu was offered stat.


Author(s):  
Ailish Daly ◽  
Seán Paul Teeling ◽  
Marie Ward ◽  
Martin McNamara ◽  
Ciara Robinson

The aim of this study was to redesign an emergency department [ED] data management system to improve the availability of, and access to, data to facilitate patient flow. A pre-/post-intervention design was employed using Lean Six Sigma methodology with a focus on the voice of the customer, Gemba, and 5S to identify areas for improvement in ED data management processes and to inform solutions for improved ED patient flow processes. A multidisciplinary ED team includes medical consultants and registrars, nurses, patient service staff, radiology staff, as well as information technology and hospital management staff. Lean Six Sigma [LSS] diagnostic tools identified areas for improvement in the current process for data availability and access. A set of improvements were implemented to redesign the pathway for data collection in the ED to improve data availability and access. We achieved a reduction in the time taken to access ED patient flow data from a mean of 9 min per patient pre-intervention to immediate post-intervention. This enabled faster decision-making by the ED team related to patient assessment and treatment and informed improvements in patient flow. Optimizing patient flow through a hospital’s ED is a complex task involving collaboration and participation from multiple disciplines. Through the use of LSS methodology, we improved the availability of, and fast access to, accurate, current information regarding ED patient flow. This allows ED and hospital management teams to identify and rapidly respond to actions impacting patient flow.


2009 ◽  
pp. 31-53
Author(s):  
Greg Butler ◽  
Chip Caldwell ◽  
Shannon Elswick

2011 ◽  
Vol 31 (4) ◽  
pp. 454-477 ◽  
Author(s):  
한재현 ◽  
안무업 ◽  
이태헌 ◽  
Kyun Jick Lee

2010 ◽  
Vol 56 (3) ◽  
pp. S86-S87 ◽  
Author(s):  
N. Berwald ◽  
F. Morisano ◽  
B. Ardolic ◽  
S. Silich ◽  
C. Coleman

2012 ◽  
Vol 138 (suppl 2) ◽  
pp. A184-A184
Author(s):  
Kathleen Stapleton ◽  
Douglas Sammond

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