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

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 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

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 Analysis of pediatric emergency department patient volume trends during the COVID-19 pandemic

Medicine ◽  
2021 ◽  
Vol 100 (27) ◽  
pp. e26583
Author(s):  
Matthew Philip Pepper ◽  
Ernest Leva ◽  
Prerna Trivedy ◽  
James Luckey ◽  
Mark Douglas Baker
Keyword(s):  
Emergency Department ◽  
Emergency Department Patient ◽  
Pediatric Emergency ◽  
Pediatric Emergency Department ◽  
Patient Volume

scholarly journals Forecasting Hospital Emergency Department Patient Volume Using Internet Search Data

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 93387-93395 ◽  
Author(s):  
Andrew Fu Wah Ho ◽  
Bryan Zhan Yuan Se To ◽  
Jin Ming Koh ◽  
Kang Hao Cheong
Keyword(s):  
Emergency Department ◽  
Emergency Department Patient ◽  
Hospital Emergency Department ◽  
Patient Volume ◽  
Internet Search ◽  
Hospital Emergency ◽  
Search Data

scholarly journals Delirium in the Older Emergency Department Patient: A Quiet Epidemic

2010 ◽  
Vol 28 (3) ◽  
pp. 611-631 ◽  
Author(s):  
Jin H. Han ◽  
Amanda Wilson ◽  
E. Wesley Ely
Keyword(s):  
Emergency Department ◽  
Emergency Department Patient

Evaluating the effects of increasing surgical volume on emergency department patient access

2011 ◽  
Vol 20 (2) ◽  
pp. 146-152 ◽  
Author(s):  
S. Levin ◽  
R. Dittus ◽  
D. Aronsky ◽  
M. Weinger ◽  
D. France
Keyword(s):  
Emergency Department ◽  
Emergency Department Patient ◽  
Surgical Volume ◽  
Patient Access

Accuracy of Computer Simulation to Predict Patient Flow during Mass-Casualty Incidents

2008 ◽  
Vol 23 (4) ◽  
pp. 354-360 ◽  
Author(s):  
Jeffrey M. Franc-Law ◽  
Micheal J. Bullard ◽  
F. Della Corte
Keyword(s):  
Emergency Department ◽  
Computer Simulation ◽  
Patient Care ◽  
Patient Flow ◽  
Emergency Department Patient ◽  
Simulation Software ◽  
Simulated Patients ◽  
Disaster Plan ◽  
Data Set ◽  
Patient Database

AbstractIntroduction:Although most hospitals have an emergency department disas- ter plan, most never have been implemented in a true disaster or been tested objectively. Computer simulation may be a useful tool to predict emergency department patient flow during a disaster.Purpose:The aim of this study was to compare the accuracy of a computer simulation in predicting emergency department patient flow during a masscasualty incident with that of a real-time, virtual, live exercise.Methods:History, physical examination findings, and laboratory results for 136 simulated patients were extracted from the disastermed.ca patient database as used as input into a computer simulation designed to represent the emergency department at the University of Alberta Hospital.The computer simulation was developed using a commercially available simulation software platform (2005, SimProcess, CACI Products, San Diego CA). Patient flow parameters were compared to a previous virtual, live exercise using the same data set.Results:Although results between the computer simulation and the live exercise appear similar, they differ statistically with respect to many patient benchmarks. There was a marked difference between the triage codes assigned during the live exercise and those from the patient database; however, this alone did not account for the differences between the patient groups. It is likely that novel approaches to patient care developed by the live exercise group, which are difficult to model by computer software, contributed to differences between the groups. Computer simulation was useful, however, in predicting how small changes to emergency department structure, such as adding staff or patient care areas, can influence patient flow.Conclusions:Computer simulation is helpful in defining the effects of changes to a hospital disaster plan. However, it cannot fully replace participant exercises. Rather, computer simulation and live exercises are complementary, and both may be useful for disaster plan evaluation.

scholarly journals Assessing the discharge instructing in the emergency department: Patient perspective

2019 ◽  
Vol 43 ◽  
pp. 40-44 ◽  
Author(s):  
M. Mäkinen ◽  
M. Castrén ◽  
K. Huttunen ◽  
S. Sundell ◽  
J. Kaartinen ◽  
...  
Keyword(s):  
Emergency Department ◽  
Patient Perspective ◽  
Emergency Department Patient

Problem gambling in the partner of the emergency department patient as a risk factor for intimate partner violence

2002 ◽  
Vol 23 (3) ◽  
pp. 307-312 ◽  
Author(s):  
Robert L Muelleman ◽  
Tami DenOtter ◽  
Michael C Wadman ◽  
T.Paul Tran ◽  
James Anderson
Keyword(s):  
Emergency Department ◽  
Intimate Partner Violence ◽  
Risk Factor ◽  
Problem Gambling ◽  
Partner Violence ◽  
Emergency Department Patient ◽  
Intimate Partner
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