Analysis of the Installed Productive Capacity in a Medical Angiography Room through Discrete Event Simulation

The installed productive capacity of a healthcare center’s equipment limits the efficient use of its resources. This paper, therefore, analyzes the installed productive capacity of a hospital angiography room and how to optimize patient demand. For this purpose, a Discrete Event Simulation (DES) mod...

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Bibliographic Details
Published in:Processes 2020-06, Vol.8 (6), p.660
Main Authors: Badilla-Murillo, Félix, Vargas-Vargas, Bernal, Víquez-Acuña, Oscar, García-Sanz-Calcedo, Justo
Format: Article
Language:English
Subjects:
Angiography
Catheters
Computer simulation
Continuous improvement
Decision making
Discrete event systems
Health care
Hospitals
Mathematical models
Medical imaging
Optimization
Patients
Probability distribution
Resource management
Resource utilization
Simulation
Variance analysis
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Summary:The installed productive capacity of a healthcare center’s equipment limits the efficient use of its resources. This paper, therefore, analyzes the installed productive capacity of a hospital angiography room and how to optimize patient demand. For this purpose, a Discrete Event Simulation (DES) model based on historical variables from the current system was created using computer software. The authors analyzed 2044 procedures performed between 2014 and 2015 in a hospital in San José, Costa Rica. The model was statistically validated to determine that it does not significantly differ from the current system, considering the DMAIC stages for continuous process improvement. In the current scenario, resource utilization is 0.99, and the waiting list increases every month. The results showed that the current capacity of the service could be doubled, and that resource utilization could be reduced to 0.64 and waiting times by 94%. An increase in service efficiency could be achieved by shortening maximum waiting times from 6.75 days to 3.70 h. DES simulation, therefore, allows optimizing of the use of healthcare systems’ resources and hospital management.
ISSN:2227-9717
2227-9717
DOI:10.3390/pr8060660