Allocating Emergency Beds Improves the Emergency Admission Flow

  title={Allocating Emergency Beds Improves the Emergency Admission Flow},
  author={A. J. Thomas Schneider and P. Luuk Besselink and Maartje E. Zonderland and Richard J. Boucherie and Wilbert B. van den Hout and Job Kievit and Paul Bilars and A. Jaap Fogteloo and Ton J. Rabelink},
The increasing number of admissions to hospital emergency departments (EDs) during the past decade has resulted in overcrowded EDs and decreased quality of care. The emergency admission flow that w... 

Figures and Tables from this paper

Hospital Bed Allocation Strategy Based on Queuing Theory during the COVID-19 Epidemic

The rehabilitation department of Nanjing Children's Hospital adjusted its bed allocation based on the queuing model, with reference to the regional source and classification of the children’s conditions in the rehabilitation department ward, which eases the bed tension in the ward and provides suitable conditions for controlling cross-infection.

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

The most commonly used techniques for addressing each Emergency Department (ED) problem were specified to provide healthcare managers and researchers with a useful framework for effectively solving these operational deficiencies and computer simulation and lean manufacturing were concluded to be the most prominent approaches.

Optimization of Markov Queuing Model in Hospital Bed Resource Allocation

Experimental results show that the queuing strategy of bed resource allocation based on Markov optimization effectively improves resource utilization and patient satisfaction and can well meet the individual needs of different patients.

An Optimization Model and Computer Simulation for Allocation Planning of Hospital Bed Resources

The results are in good agreement with the actual situation, and the optimization model has a certain degree of reference significance for the reasonable allocation of beds.

Exploring overcrowding trends in an inner city emergence department in the UK before and during COVID-19 epidemic

The mixed results pre-COVID-19 (significant improvements in waiting time with some interventions but not improvement in the four-hours target), may be due to indirect impacts of these interventions, where increasing pressure on one part of the ED system affected other parts.

Simulation-based optimization methods applied in hospital emergency departments: A systematic review

This review considers research studies reporting simulation-based optimization experiments published between 2007 and 2019, covering 38 studies and argues that future studies should focus on increasing the efficiency of multi-objective optimization problems by decreasing their cost in time and labor.

Implementing Analytics Projects in a Hospital: Successes, Failures, and Opportunities

Healthcare lags decades behind other industries in terms of operational analytics, but several technical proof-of-concept projects in the use of optimization, machine learning, and other analytical techniques are being considered.

Token Economy–Based Hospital Bed Allocation to Mitigate Information Asymmetry: Proof-of-Concept Study Through Simulation Implementation

A token economy–based bed allocation system has the potential to be an optimal method by mitigating information asymmetry and can improve staff satisfaction and patient safety by increasing the decision-making autonomy of staff but may also increase managerial rivalry.

Bibliometric Study on Planning and Control in the Health Environment

  • S. DreiP. Ignácio
  • Medicine
    International Journal of Advanced Engineering Research and Science
  • 2019
A qualitative survey of the planning and control within the hospital scope and its characteristics was obtained, and the concepts focused on Planning and Control in health environments were analyzed.

Big Data Analytics Using Multiple Criteria Decision Aiding Models

A new multi-criteria decisionmaking method, called Characteristic Objects METhod (COMET), along with its software implementation, and the basic concepts of fuzzy sets theory and the COMET algorithm are presented.



The patient arrival process in hospitals: statistical analysis.

A model describing the arrival process for emergency patients, impatients, and scheduled and unscheduled outpatients with a considerable degree of predictive accuracy is developed.

Outcomes of establishing an acute assessment unit in the general medical service of a tertiary teaching hospital

Objective: To evaluate the impact of an acute assessment unit (AAU) on length of hospital stay (LOS), emergency department (ED) waiting times, direct discharge rate, unplanned readmission rate and

Analysis of factors influencing length of stay in the emergency department.

Triage level, investigations and consultations are important independent variables that influence ED LOS, and future research is necessary to determine how these and other factors can be incorporated into a model for predicting LOS.

High hospital occupancy is associated with increased risk for patients boarding in the emergency department.

The association between length of emergency department boarding and mortality.

Hospital mortality and hospital LOS are associated with length of ED boarding, and increases were still apparent after adjustment for comorbid conditions and other factors.

Dynamics of bed use in accommodating emergency admissions: stochastic simulation model

There are limits to the occupancy rates that can be achieved safely without considerable risk to patients and to the efficient delivery of emergency care, and spare bed capacity is therefore essential for the effective management of emergency admissions.

Transforming Hospital Emergency Department Workflow and Patient Care

An ED decision support system that couples machine learning, simulation, and optimization to address improvement goals and allows healthcare administrators to globally optimize workflow, thereby significantly reducing patient length of stay is described.

The continuing rise in emergency admissions

Analysis of linked data has confirmed that the rise in emergency admissions in Scotland is genuine, and only 2% of the increase can be explained by population aging.

A Systematic Review of Simulation Studies Investigating Emergency Department Overcrowding

It is found that simulation studies provide important insights into ED overcrowding but they also had major limitations that must be addressed.