Identifying emergency department efficiency frontiers and the factors associated with their efficiency performance

Hyojung Kang, Harriet Black Nembhard, Chris DeFlitch

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Emergency department (ED) overcrowding has been recognized as a serious concern in hospitals nationwide. In response, many hospitals have implemented various improvement initiatives, but not all hospitals have found great success. This study aimed to develop a data-driven framework for benchmarking efficient EDs and adopting their best practices. First, a data envelopment analysis (DEA) was used to identify ED frontiers that have achieved operational efficiencies. Using the Emergency Department Benchmarking Alliance database for 2012, we divided 449 EDs into six groups and evaluated the efficiency of each ED in the groups. Inputs include number of ED beds, clinical staffing working hours, and non-clinical staffing working hours in the ED. Outputs include the number of patient visits per day, average length of stay, and the rate of leaving without being treated. Using the efficiency rankings, logistic regression was performed to identify which features of EDs contributed to their becoming efficient frontiers or inefficient units. The results indicated that the proportion of admitted patients through the ED, the intake model with a mid-level provider, a fast-track area, and a patient volume had a significant impact on efficiency of the EDs. The identification of successful EDs and their profiles may provide comparable ED benchmarking and the proliferation of best practices.

Original languageEnglish (US)
Title of host publicationIIE Annual Conference and Expo 2014
PublisherInstitute of Industrial Engineers
Pages3974-3983
Number of pages10
ISBN (Electronic)9780983762430
StatePublished - Jan 1 2014
EventIIE Annual Conference and Expo 2014 - Montreal, Canada
Duration: May 31 2014Jun 3 2014

Publication series

NameIIE Annual Conference and Expo 2014

Other

OtherIIE Annual Conference and Expo 2014
CountryCanada
CityMontreal
Period5/31/146/3/14

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Control and Systems Engineering

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