Literature DB >> 21963136

A simulation study to improve quality of care in the emergency department of a community hospital.

Zhen Zeng1, Xiaoji Ma, Yao Hu, Jingshan Li, Deborah Bryant.   

Abstract

In this article, a computer simulation study to improve the quality of care at the emergency department at a community hospital in Lexington, Kentucky, is presented. The simulation model is capable of evaluating the quality of care in terms of length of stay, waiting times, and patient elopement and has been validated by being compared with the data collected in the emergency department. Sensitivity analyses have been carried out to investigate the impact of workforce and diagnosis equipment on quality performance. The results suggest that, to ensure better clinical outcome, more nurses are needed; in addition, an additional computed tomography scanner is recommended. The model also shows that implementing team nursing policy (for 2 nurses) could lead to significant improvement in the emergency department's quality of care. Such a model provides a quantitative tool for continuous improvement and flow control in the emergency department and is also applicable to other departments in the hospital.
Copyright © 2012 Emergency Nurses Association. Published by Mosby, Inc. All rights reserved.

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Year:  2011        PMID: 21963136     DOI: 10.1016/j.jen.2011.03.005

Source DB:  PubMed          Journal:  J Emerg Nurs        ISSN: 0099-1767            Impact factor:   1.836


  10 in total

1.  A simulation study to improve performance in the preparation and delivery of antineoplastic medications at a community hospital.

Authors:  Tao Lu; Shuli Wang; Jingshan Li; Paul Lucas; Mike Anderson; Kay Ross
Journal:  J Med Syst       Date:  2011-11-10       Impact factor: 4.460

Review 2.  Computer modeling of lung cancer diagnosis-to-treatment process.

Authors:  Feng Ju; Hyo Kyung Lee; Raymond U Osarogiagbon; Xinhua Yu; Nick Faris; Jingshan Li
Journal:  Transl Lung Cancer Res       Date:  2015-08

3.  Understanding Emergency Care Delivery Through Computer Simulation Modeling.

Authors:  Lauren F Laker; Elham Torabi; Daniel J France; Craig M Froehle; Eric J Goldlust; Nathan R Hoot; Parastu Kasaie; Michael S Lyons; Laura H Barg-Walkow; Michael J Ward; Robert L Wears
Journal:  Acad Emerg Med       Date:  2017-09-21       Impact factor: 3.451

4.  A system model of work flow in the patient room of hospital emergency department.

Authors:  Junwen Wang; Jingshan Li; Patricia K Howard
Journal:  Health Care Manag Sci       Date:  2013-04-16

5.  Cost-Effectiveness Evaluation of EHR: Simulation of an Abdominal Aortic Aneurysm in the Emergency Department.

Authors:  Ofir Ben-Assuli; Amitai Ziv; Doron Sagi; Avinoah Ironi; Moshe Leshno
Journal:  J Med Syst       Date:  2016-04-25       Impact factor: 4.460

6.  Optimization of Service Process in Emergency Department Using Discrete Event Simulation and Machine Learning Algorithm.

Authors:  Sayyed Morteza Hosseini Shokouh; Kasra Mohammadi; Maryam Yaghoubi
Journal:  Arch Acad Emerg Med       Date:  2022-06-08

7.  Effect of Job Specialization on the Hospital Stay and Job Satisfaction of ED Nurses.

Authors:  Vahid Shamsi; Hosein Mahmoudi; Masoud Sirati Nir; Hosein Babatabar Darzi
Journal:  Trauma Mon       Date:  2016-02-06

8.  Discrete Event Simulation Models for CT Examination Queuing in West China Hospital.

Authors:  Li Luo; Hangjiang Liu; Huchang Liao; Shijun Tang; Yingkang Shi; Huili Guo
Journal:  Comput Math Methods Med       Date:  2016-07-28       Impact factor: 2.238

Review 9.  Methodological Approaches to Support Process Improvement in Emergency Departments: A Systematic Review.

Authors:  Miguel Angel Ortíz-Barrios; Juan-José Alfaro-Saíz
Journal:  Int J Environ Res Public Health       Date:  2020-04-13       Impact factor: 3.390

10.  Use of natural language processing to improve predictive models for imaging utilization in children presenting to the emergency department.

Authors:  Xingyu Zhang; M Fernanda Bellolio; Pau Medrano-Gracia; Konrad Werys; Sheng Yang; Prashant Mahajan
Journal:  BMC Med Inform Decis Mak       Date:  2019-12-30       Impact factor: 2.796

  10 in total

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