A Simulation Study to Improve Quality of Care in the Emergency Department of a Community Hospital

Zeng, Zhen; Ma, Xiaoji; Yao, Hanyu; Li, Jingshan; Bryant, Deborah

doi:10.1016/j.jen.2011.03.005

Cited by 84 publications

(39 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Oftentimes, DES has been applied to validate the improvements in a process redesign, since changes with high level of uncertainty in the ED can result in serious situations. A computer simulation study was presented to improve the quality of care at a community hospital ED [1] . The quality of care has been evaluated in terms of length of stay and the percentage of patients leaving without being seen.…”

Section: Healthcare Simulation In Literaturementioning

confidence: 99%

“…Emergency department (ED) crowding is a nationwide problem that results in delayed treatments, long patient wait times, overburdened staff, unnecessarily high costs, and low patient throughput [1,2] . Crowding can lead to other problems, such as medical errors and complications [3] .…”

Section: Introductionmentioning

confidence: 99%

“…Excessive patient overload also leads to decreased physician productivity [6][7][8] . Long ED holds across hospitals in the United States are proven to be decidedly correlated to higher patient length of stay (LOS) on inpatient care units [1,9,10] . Inability to transfer admitted patients to inpatient beds has been reported to be the most serious cause of ED overcrowding [2,11] .…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A modular simulation study to improve patient flow to inpatient units in the emergency department

Norouzzadeh

Garber

Longacre

et al. 2014

JHA

View full text Add to dashboard Cite

In this study, a modular discrete event simulation (computer modeling) has been presented to support process improvements in a hospital's emergency department (ED) to streamline admitted patient flow to inpatient units. Because the ED in this study has less than 10 beds, unnecessary occupation of beds affects the patient wait time dramatically. Additionally, ED overcrowding diminishes the quality of care, increases costs, and decreases employee and patient satisfaction. The modular simulation model evaluated the effectiveness of several recommended workflow improvements, resulting from comprehensive statistical analysis, based on their impact on cycle time and time traps in the process. The results suggested that, to ensure better efficiency and optimal cycle time, all of the suggested workflow improvements should be implemented simultaneously. The model also suggested that achieving customer satisfaction is possible 96.26% of the time with the current resource allocations in the ED.

show abstract

Section: Healthcare Simulation In Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A modular simulation study to improve patient flow to inpatient units in the emergency department

Norouzzadeh

Garber

Longacre

et al. 2014

JHA

View full text Add to dashboard Cite

show abstract

“…Studies include making strategic decisions for various departments (Ballard and Kuhl, 2006;Denton et al, 2006;Vanberkel and Blake, 2007;Leskovar et al, 2011); estimating capacity levels and measuring waiting times (Werker et al, 2009); analysing patient flows (Brenner et al, 2010;Zeng et al, 2012); measuring policy impact (Fletcher et al, 2007); and simulating patient scheduling and utilisations (Harper and Gamlin, 2003;Werker et al, 2009;Lee et al, 2013;Quevedo and Chapilliquén, 2014). It has been argued that the extensive use of process modelling is limited in healthcare compared with other industries (Harper and Pitt, 2004) due to the complexity of the processes and the vast amounts of data required to provide accurate models (Antonacci et al, 2016).…”

Section: Related Workmentioning

confidence: 99%

Maximising Patient Throughput using Discrete-event Simulation

Greenroyd

Hayward

Price

et al. 2017

Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications

View full text Add to dashboard Cite

“…For hospital managers, one would like to increase system throughputs or the resources' utilization. Examples of such applications include Ahmed and Alkhamis (2009); Tyler et al (2003); Zeng et al (2012) and Zhang et al (2012). Another very different application of simulation optimization is the allocation of donated livers for transplantation at a national level.…”

Section: Using Simulation Optimization To Manage Liver Transplantmentioning

confidence: 99%

Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data

Huang

Chen

et al. 2015

Asia Pac. J. Oper. Res.

165

View full text Add to dashboard Cite

Recent advances in simulation optimization research and explosive growth in computing power have made it possible to optimize complex stochastic systems that are otherwise intractable. In the first part of this paper, we classify simulation optimization techniques into four categories based on how the search is conducted. We provide tutorial expositions on representative methods from each category, with a focus in recent developments, and compare the strengths and limitations of each category. In the second part of this paper, we review applications of simulation optimization in various contexts, with detailed discussions on health care, logistics, and manufacturing systems. Finally, we explore the potential of simulation optimization in the new era. Specifically, we discuss * Corresponding author. how simulation optimization can benefit from cloud computing and high-performance computing, its integration with big data analytics, and the value of simulation optimization to help address challenges in engineering design of complex systems.

show abstract

A Simulation Study to Improve Quality of Care in the Emergency Department of a Community Hospital

Cited by 84 publications

References 10 publications

A modular simulation study to improve patient flow to inpatient units in the emergency department

A modular simulation study to improve patient flow to inpatient units in the emergency department

Maximising Patient Throughput using Discrete-event Simulation

Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data

Contact Info

Product

Resources

About