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Analysis and modeling of workload within emergency medical services
Ercolani, Jenna
Ercolani, Jenna
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t25007_Ercolani.pdf
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2025-05
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Abstract
Workload within Emergency Medical Services (EMS) has been underrepresented in research and is assumed to be equivalent with conventional workload metrics of unit hour utilization (UHU) and cumulative call volume. This research investigates workload metrics within EMS with respect to perceived workload (represented by the NASA Task Load Index, NASA-TLX) and design workload (represented by the Visual, Auditory, Cognitive, Psychomotor, VACP, score). Priority-stratified call volume and call response utilization best explain these forms of workload and were analyzed by Pearson correlation and linear regression methods. A clear threshold for a fair day’s work was not found. Next, surrogate models to find the overall utilization of an EMS crewmember at a point in time were created and tested. The best-performing model was a physics-based model that can be potentially generalized for use in any EMS system. In the last chapter of this thesis, the validated workload metrics were investigated in relation to a decision-making model within a discrete event simulation for EMS and their effect on operational performance metrics. It was found that incorporating workload-based dispatching strategies did not worsen operational performance.
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Thesis (M.S.)-- Wichita State University, College of Engineering, Dept. of Industrial, Systems, and Manufacturing Engineering
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Wichita State University
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© Copyright 2025 by Jenna Marie Ercolani
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