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Pre and Post Hoc Analysis of Electronic Health Record Implementation on Emergency Department Metrics

Overview of attention for article published in Baylor University Medical Center Proceedings, December 2017
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Article details
Title
Pre and Post Hoc Analysis of Electronic Health Record Implementation on Emergency Department Metrics
Published in
Baylor University Medical Center Proceedings, December 2017
DOI 10.1080/08998280.2017.11929563
Pubmed ID
Authors

Kyle J Rupp, Nathan J Ham, Dennis E Blankenship, Mark E Payton, Kelly A Murray

Abstract

Longitudinal time-based emergency department (ED) performance measures were quantified 12 months before and 12 months after (March 2012-February 2014) implementation of a Meditech 6.0® electronic health record (EHR) at a single urban academic ED. Data assessed were length of stay from door to door, door to admission, door to bed, bed to provider, provider to disposition, and disposition to admission, as well as number of patients leaving against medical advice and number of patients leaving without being seen. Analysis of variance was used to compare levels before and after EHR implementation for each variable, with adjustments made for the number of admissions, transfers, and month. No difference was seen in monthly volume, admissions, or transfers. Implementation of an EHR resulted in a sustained increase in ED time metrics for mean length of stay and times from door to door, door to admission, door to bed, and provider to disposition. Decreased ED time metrics were seen in bed-to-provider and disposition-to-admit times. The number of patients who left against medical advice increased after implementation, but the number of patients who left without being seen was not significantly different. Thus, EHR implementation was associated with an increase in time with most performance metrics. Although general times trended back to near preimplementation baselines, most ED time metrics remained elevated beyond the study length of 12 months. Understanding the impact of EHR system implementation on the overall performance of an ED can help departments prepare for potential adverse effects of such systems on overall efficiency.

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The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 10 28%
Other 3 8%
Librarian 2 6%
Professor 2 6%
Researcher 2 6%
Other 4 11%
Unknown 13 36%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 10 28%
Medicine and Dentistry 6 17%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Business, Management and Accounting 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 17 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 April 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Baylor University Medical Center Proceedings
#1,399
of 1,501 outputs
Outputs of similar age
#384,841
of 445,007 outputs
Outputs of similar age from Baylor University Medical Center Proceedings
#532
of 578 outputs
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