Publication Date
2019
Document Type
Thesis
Committee Members
Subhashini Ganapathy (Advisor), Mary E. Fendley (Committee Member), Xinhui Zhang (Committee Member)
Degree Name
Master of Science in Industrial and Human Factors Engineering (MSIHE)
Abstract
This study demonstrates the application of Agent-Based Simulation as a potential training aid for Transfer of Care (ToC) between EMS and a hospital triage department. The specific aim was to develop a simulation to increase the efficiency and accountability of information communication during ToC to test the suitability of Agent-Based Simulation to address training requirements in complex, health provision settings. This paper focuses on the design of the training simulation, including the development of individual agents within the simulation through the user interface elements and the evaluation and verification of the prototype simulator. The primary objective is for the simulation to generate realistic scenarios including complex and non-repeating patient conditions and outcomes based on real-world data and to provide an interface for trainees to conduct a simulated ToC task. It is hypothesized that an agent-based ToC simulator will provide a representative model of emergency situations both in realism and complexity. The study showed Agent-Based Simulation is capable of producing highly complex representations of healthcare scenarios and the prototype simulator was found to be statistically representative of real-world data. This paper primarily presents the work related to the simulation design and development and an initial validation of some model elements using the NEMESIS database.
Page Count
115
Department or Program
Department of Biomedical, Industrial & Human Factors Engineering
Year Degree Awarded
2019
Copyright
Copyright 2019, some rights reserved. My ETD may be copied and distributed only for non-commercial purposes and may not be modified. All use must give me credit as the original author.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
ORCID ID
0000-0002-9741-1919
