Open AccessRelieving emergency department crowding: Simulating the effects of improving patient flow over time
Author(s) -
Eric Hamrock,
Kerrie Paige,
Jennifer Parks,
James J. Scheulen,
Scott Levin
Publication year - 2014
Publication title -
journal of hospital administration
Language(s) - English
Resource type - Journals
eISSN - 1927-7008
pISSN - 1927-6990
DOI - 10.5430/jha.v4n1p43
Subject(s) - crowding , emergency department , staffing , dwell time , medicine , evening , rush hour , census , emergency medicine , medical emergency , nursing , psychology , population , transport engineering , engineering , environmental health , clinical psychology , physics , astronomy , neuroscience
Background: Emergency Departments (ED) are challenged with excess demand for services and inadequate system capacity.Crowding at two independent EDs within a health system prompted an examination of the potential effects of improving patientthroughput. The objective of this study was to determine the effects of reducing ED dwell time on temporal patterns of patientflow and demand for ED resources.Methods: Separate discrete event simulation (DES) models were developed for the EDs of a 1,000-bed urban medical centerand a 560-bed community medical center using patient flow information. These models characterized the effects of reducingpatient dwell time on ED care area census (i.e., staffing needs), waiting room census, total length of stay (LOS) and waiting time. Dwell time was defined as the time interval from when a patient entered the main ED care area to when the patient exited the ED by discharge or hospital admission. Total LOS is defined as the entire time interval from ED from arrival to exit (includingwaiting time).Results: DES results for each site demonstrate how natural patient arrivals and common hospital admission processes generatecommon temporal patterns of decreased crowding. Improving flow translates to most substantial reductions in waiting timeand waiting room census during evening hours (17:00 to 22:00 hours). Significant effects on ED care area census and staffingdemands are lagged, not occurring until overnight hours (2:00 to 8:00 hours). We reduced patient dwell time in 5% incrementswithin the urban ED (16.2 min) and community ED (13.5 min) from 5% to 15%. For example, a 10% decrease in dwell timeat the urban ED (32.4 min) and community ED (27.0 min) resulted in respective decreases in evening waiting room census by49% (10.8 patients) and 26% (3.5 patients) during evening hours and ED care area census by 16% (3.6 patients) and 11% (2.0patients) overnight.Conclusions: DES results suggest that increasing ED efficiency will most significantly decrease delays experienced by eveningarrivals and provide opportunities to decrease care area census and reduce staff overnight.