scholarly journals Managing hospital visitor admission during Covid-19: A discrete-event simulation by the data of a German University Hospital

2022 ◽  
Author(s):  
Christina Bartenschlager ◽  
Ramona Frey ◽  
Marie Freitag ◽  
Johanna-Maria Classen ◽  
Helmut Messmann ◽  
...  
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
University Hospital ◽  
Event Simulation

Performance analysis of a university hospital blood laboratory via discrete event simulation

SIMULATION ◽  
2016 ◽  
Vol 92 (5) ◽  
pp. 473-484 ◽  
Author(s):  
Deniz Kadı ◽  
Yusuf Kuvvetli ◽  
Selçuk Çolak
Keyword(s):  
Performance Analysis ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
University Hospital ◽  
Event Simulation

Improving patient waiting time of centralized front office service in a regional hub hospital using the discrete event simulation model

2020 ◽  
Vol 28 (5) ◽  
pp. 487-494
Author(s):  
D. Cocchi ◽  
E. Ciagli ◽  
A. Ancora ◽  
P. Tortoli ◽  
C. Carpini ◽  
...  
Keyword(s):  
Simulation Model ◽  
Discrete Event Simulation ◽  
Waiting Time ◽  
Waiting Times ◽  
Discrete Event ◽  
University Hospital ◽  
Event Simulation ◽  
Discrete Event Simulation Model ◽  
Front Office ◽  
Patient Waiting

BACKGROUND: Today, hospital rankings are based not only on basic clinical indicators, but even on quality service indicators such as patient waiting times. Improving these indicators is a very important issue for hospital management, so finding a solution to achieve it in a simple and effective way is one of the greatest goals. OBJECTIVES: The aim of this article is to evaluate the use of a discrete event simulation model to improve healthcare processes and reduce waiting time of patients and hospital costs. METHODS: The case study proposed in this paper is the reorganization of non-clinical front office operation for the patients (i.e. booking of exams, delivering medical reports, etc.) of the Careggi University Hospital of Florence, to optimize the utilization of the human resources and to improve performances of the process. RESULTS: The development and validation of the model was made according to an analysis of real processes and data, pre and post implementation of model outcomes. The new organization shows a decrease of waiting times from an average value of 10 minutes and 37 seconds to 5 minutes and 57 seconds (-44%). CONCLUSIONS: This paper shows that discrete event simulation could be a precise, cost-limited tool to optimize hospital processes and performance.

scholarly journals Economic Evaluation of Bariatric Surgery in Mexico Using Discrete Event Simulation

2012 ◽  
Vol 1 (2) ◽  
pp. 172-179 ◽  
Author(s):  
Olivo Omar Zanela ◽  
Hermilo Arturo Cabra ◽  
Guillermo Meléndez ◽  
Pablo Anaya ◽  
Frederic Rupprecht
Keyword(s):  
Bariatric Surgery ◽  
Economic Evaluation ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Event Simulation
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