Home // HEALTHINFO 2017, The Second International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing // View article
Authors:
Chen Zhang
Hamza Hanchi
Sebastiaan Meijer
Keywords: discrete-event simulation; monte-carlo simulation; logistics; healthcare
Abstract:
Simulation is increasingly being used in the healthcare sector. The dynamic management of resources and patient levels requires a computational and evaluative approach for staff to examine their impacts on the performance of the system. In this paper, a sensitivity analysis via Monte Carlo Simulation is developed to identify influential factors of patient length of stay in a surgery center. The operation of a selected surgery center is re-created by a Discrete-Event Simulation model as a basis for the sensitivity analysis. We compute elasticity measurements for comparing relative influences of identified pertinent on the system output. Results suggest that the patient length of stay is more sensitive to capacity extractions than additions. The capacity of surgery slots is a rewarding option on increased patient level. We suggest healthcare planners are aware of dedicated surgery types and hospital fixtures due to effects on patient length of stay.
Pages: 28 to 34
Copyright: Copyright (c) IARIA, 2017
Publication date: October 8, 2017
Published in: conference
ISSN: 2519-8491
ISBN: 978-1-61208-597-5
Location: Athens, Greece
Dates: from October 8, 2017 to October 12, 2017