Literature DB >> 11691670

When the safety net is unsafe: real-time assessment of the overcrowded emergency department.

T J Reeder1, H G Garrison.   

Abstract

Although much work has been done evaluating causes for increased demand for emergency department (ED) services, few ways are available to help determine that an individual ED is overcrowded. Four calculations are proposed using real-time data for accurately diagnosing an ED with potential for failing both as a safety net and as a source for quality health care. The bed ratio (BR) accounts for the number of patients in relation to the available treatment spaces. The BR is obtained by adding the current number of ED patients to the predicted arrivals minus the predicted departures and dividing the result by the total number of treatment spaces. The acuity ratio (AR) measures the relative burden of illness in the ED. The AR is the average triage category of all patients in the ED. The provider ratio (PR) determines the volume of patients that can be evaluated and treated by the physician providers. The PR is found by dividing the arrivals per hour by the sum of the average patients per hour usually disposed for each provider on duty. From these ratios, the demand value (DV) is calculated, which gives an overall measure of current demand. The DV is found by taking the sum of the BR and PR and multiplying by the AR. A DV of more than 7 should initiate a specific assessment of the individual ratios in order to accurately diagnose the problem and institute action. Based on the values, predetermined processes can be instituted to help remedy the overcrowded situation. Trended over time, the ratios can provide the data needed for better resource assessment, planning, and allocation.

Entities:  

Mesh:

Year:  2001        PMID: 11691670     DOI: 10.1111/j.1553-2712.2001.tb01117.x

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  11 in total

1.  Supporting patient care in the emergency department with a computerized whiteboard system.

Authors:  Dominik Aronsky; Ian Jones; Kevin Lanaghan; Corey M Slovis
Journal:  J Am Med Inform Assoc       Date:  2007-12-20       Impact factor: 4.497

2.  Measuring and forecasting emergency department crowding in real time.

Authors:  Nathan R Hoot; Chuan Zhou; Ian Jones; Dominik Aronsky
Journal:  Ann Emerg Med       Date:  2007-03-27       Impact factor: 5.721

3.  Comparison of emergency department crowding scores: a discrete-event simulation approach.

Authors:  Virginia Ahalt; Nilay Tanık Argon; Serhan Ziya; Jeff Strickler; Abhi Mehrotra
Journal:  Health Care Manag Sci       Date:  2016-10-04

4.  The impact of inpatient boarding on ED efficiency: a discrete-event simulation study.

Authors:  Aaron E Bair; Wheyming T Song; Yi-Chun Chen; Beth A Morris
Journal:  J Med Syst       Date:  2009-05-15       Impact factor: 4.460

5.  Analysis of patient flow in the emergency department and the effect of an extensive reorganisation.

Authors:  O Miró; M Sánchez; G Espinosa; B Coll-Vinent; E Bragulat; J Millá
Journal:  Emerg Med J       Date:  2003-03       Impact factor: 2.740

6.  California hospitals serving large minority populations were more likely than others to employ ambulance diversion.

Authors:  Renee Yuen-Jan Hsia; Steven M Asch; Robert E Weiss; David Zingmond; Li-Jung Liang; Weijuan Han; Heather McCreath; Benjamin C Sun
Journal:  Health Aff (Millwood)       Date:  2012-08       Impact factor: 6.301

7.  Emergency department crowding: time for interventions and policy evaluations.

Authors:  Adrian Boyle; Kathleen Beniuk; Ian Higginson; Paul Atkinson
Journal:  Emerg Med Int       Date:  2012-02-07       Impact factor: 1.112

8.  Measuring emergency department crowding in an inner city hospital in The Netherlands.

Authors:  Martijn Anneveld; Christien van der Linden; Diana Grootendorst; Martha Galli-Leslie
Journal:  Int J Emerg Med       Date:  2013-07-08

9.  Emergency department crowding and decreased quality of pain care.

Authors:  Ula Hwang; Lynne Richardson; Elayne Livote; Ben Harris; Natasha Spencer; R Sean Morrison
Journal:  Acad Emerg Med       Date:  2008-10-17       Impact factor: 3.451

10.  Load Balancing at Emergency Departments using 'Crowdinforming'.

Authors:  Marcia R Friesen; Trevor Strome; Shamir Mukhi; Robert McLoed
Journal:  Online J Public Health Inform       Date:  2011-11-07
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