Abstract
ABSTRACTSimulation modeling has been leveraged for a variety of health care applications. Data used to inform most parameters for these models are typically collected from a single site, thus limiting the generalizability of the results and insights for other populations. In this study, we explore the impact of using data collected from multiple sites to parameterize an agent-based model of multidrug-resistant organisms in an intensive care unit setting. We show that using single sites to inform model parameters can be highly variable, and that using multiple sites can significantly improve the precision of these estimates and reduce the associated aggregated model error.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IISE Transactions on Healthcare Systems Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
