Time Series Forecasts of Emergency Department Patient Volume, Length of Stay, and Acuity

1994 ◽  
Vol 23 (2) ◽  
pp. 299-306 ◽  
Author(s):  
Dan Tandberg ◽  
Clifford Qualls
Keyword(s):  
Emergency Department ◽  
Time Series ◽  
Length Of Stay ◽  
Emergency Department Patient ◽  
Patient Volume

scholarly journals Emergency Department Patient Flow: The Influence of Hospital Census Variables on Emergency Department Length of Stay

2009 ◽  
Vol 16 (7) ◽  
pp. 597-602 ◽  
Author(s):  
Ray Lucas ◽  
Heather Farley ◽  
Joseph Twanmoh ◽  
Andrej Urumov ◽  
Nils Olsen ◽  
...  
Keyword(s):  
Emergency Department ◽  
Length Of Stay ◽  
Patient Flow ◽  
Emergency Department Patient

scholarly journals Specialized fast track: a sustainable model to improve emergency department patient flow

2015 ◽  
Vol 4 (5) ◽  
pp. 40
Author(s):  
Emilpaolo Manno ◽  
Marco Pesce ◽  
Umberto Stralla ◽  
Federico Festa ◽  
Silvio Geninatti ◽  
...  
Keyword(s):  
Emergency Department ◽  
Length Of Stay ◽  
Fast Track ◽  
Patient Flow ◽  
Wait Time ◽  
Emergency Department Patient ◽  
Care Needs ◽  
Time Length ◽  
Hospital Units ◽  
Ed Visits

Objective: Emergency department (ED) overcrowding is a hospital-wide problem that demands a whole-hospital solution. We developed and implemented a fast track model for streaming ED patients with low-acuity illness or injury to specialized care areas (gynecology-obstetrics, orthopedics-trauma, pediatrics, and primary care) staffed by existing specialist resources with access to general ED services. The study aim was to determine whether streaming of ED visits into specialized fast track areas increased operational efficiency and improved patient flow in a mixed adult and pediatric ED without incurring extra costs.Methods: We retrospectively reviewed the ED discharge records of patients who were mainstreamed or fast tracked during the 3-year period from 1 January 2010 through 31 December 2012. ED visits were identified according to a five-level triage scheme; performance indicators were compared for: wait time, length of stay, leave before being seen and revisit rates.Results: A reduction in wait time, length of stay, and leave before being seen rate was seen with fast track streaming (p < .01). These improvements were achieved without additional medical and nurse staffing.Conclusions: Specialized fast track streaming helped us meet patients’ care needs and contain costs. Lower-acuity patients were seen quickly by a specialist and safely discharged or admitted to the hospital without diverting resources from patients with high-acuity illness or injury. Involvement of all stakeholders in seeking a sustainable solution to ED crowding as a hospital-wide problem was key to enhancing cooperation between the ED and the hospital units.

scholarly journals Emergency Department Patient Volume and Troponin Laboratory Turnaround Time

2010 ◽  
Vol 17 (5) ◽  
pp. 501-507 ◽  
Author(s):  
Ula Hwang ◽  
Kevin Baumlin ◽  
Jeremy Berman ◽  
Neal K. Chawla ◽  
Daniel A. Handel ◽  
...  
Keyword(s):  
Emergency Department ◽  
Emergency Department Patient ◽  
Turnaround Time ◽  
Patient Volume

scholarly journals A retrospective multistate analysis: Do regional football games impact emergency department patient volume?

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Peter S. Antkowiak ◽  
Bryan A. Stenson ◽  
Tania D. Strout ◽  
Colin D. Stack ◽  
Joshua W. Joseph ◽  
...  
Keyword(s):  
Emergency Department ◽  
Emergency Department Patient ◽  
Patient Volume

Time Series Analysis of Variables Associated With Daily Mean Emergency Department Length of Stay

2007 ◽  
Vol 49 (3) ◽  
pp. 265-271 ◽  
Author(s):  
Niels K. Rathlev ◽  
John Chessare ◽  
Jonathan Olshaker ◽  
Dan Obendorfer ◽  
Supriya D. Mehta ◽  
...  
Keyword(s):  
Emergency Department ◽  
Time Series ◽  
Length Of Stay ◽  
Time Series Analysis ◽  
Series Analysis

scholarly journals Time Series Analysis of Emergency Department Length of Stay per 8-Hour Shift

2012 ◽  
Vol 13 (2) ◽  
pp. 163-168 ◽  
Author(s):  
Niels Rathlev ◽  
Dan Obendorfer ◽  
Laura White ◽  
Casey Rebholz ◽  
Brendan Magauran ◽  
...  
Keyword(s):  
Emergency Department ◽  
Time Series ◽  
Length Of Stay ◽  
Time Series Analysis ◽  
Series Analysis

scholarly journals Impact of an emergency department electronic sepsis surveillance system on patient mortality and length of stay

2017 ◽  
Vol 25 (5) ◽  
pp. 523-529 ◽  
Author(s):  
Jonathan S Austrian ◽  
Catherine T Jamin ◽  
Glenn R Doty ◽  
Saul Blecker
Keyword(s):  
Emergency Department ◽  
Time Series ◽  
Length Of Stay ◽  
Vital Signs ◽  
Interrupted Time Series ◽  
Alert System ◽  
Process Measures ◽  
Emergency Department Patients ◽  
Series Study

Abstract Objective The purpose of this study was to determine whether an electronic health record–based sepsis alert system could improve quality of care and clinical outcomes for patients with sepsis. Materials and Methods We performed a patient-level interrupted time series study of emergency department patients with severe sepsis or septic shock between January 2013 and April 2015. The intervention, introduced in February 2014, was a system of interruptive sepsis alerts triggered by abnormal vital signs or laboratory results. Primary outcomes were length of stay (LOS) and in-hospital mortality; other outcomes included time to first lactate and blood cultures prior to antibiotics. We also assessed sensitivity, positive predictive value (PPV), and clinician response to the alerts. Results Mean LOS for patients with sepsis decreased from 10.1 to 8.6 days (P &lt; .001) following alert introduction. In adjusted time series analysis, the intervention was associated with a decreased LOS of 16% (95% CI, 5%-25%; P = .007, with significance of α = 0.006) and no change thereafter (0%; 95% CI, −2%, 2%). The sepsis alert system had no effect on mortality or other clinical or process measures. The intervention had a sensitivity of 80.4% and a PPV of 14.6%. Discussion Alerting based on simple laboratory and vital sign criteria was insufficient to improve sepsis outcomes. Alert fatigue due to the low PPV is likely the primary contributor to these results. Conclusion A more sophisticated algorithm for sepsis identification is needed to improve outcomes.

scholarly journals Impact of Hourly Emergency Department Patient Volume on Blood Culture Contamination and Diagnostic Yield

2013 ◽  
Vol 51 (6) ◽  
pp. 1721-1726 ◽  
Author(s):  
S. Halverson ◽  
P. N. Malani ◽  
D. W. Newton ◽  
A. Habicht ◽  
K. Vander Have ◽  
...  
Keyword(s):  
Emergency Department ◽  
Blood Culture ◽  
Diagnostic Yield ◽  
Emergency Department Patient ◽  
Patient Volume
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