The ability to investigate the dynamic relationships among individuals and their system-wide outputs makes agent-based modeling a compelling strategy for studying clinical organizations as complex adaptive systems.
Oct 22, 2024 · Specifically, we used the agent-based model to simulate the impact of variation in physicians' sensemaking and improvisation abilities on ...
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Specifically, we used the agent-based model to simulate the impact of variation in physicians' sensemaking and improvisation abilities on patient length of stay ...
Jun 21, 2023 · Agent-based modeling simulation methods can be used to visualize how a hospital handles its patient flow and aid in optimizing its processes.
Specifically, we used the agent-based model to simulate the impact of variation in physicians' sensemaking and improvisation abilities on patient length of stay ...
Oct 25, 2021 · This study describes construction of and experimentation with an agent-based model (ABM) to examine the potential impact of CRx and other health information ...
Agent-Based Modeling in Public Health: Current Applications and ...
www.ncbi.nlm.nih.gov › PMC5937544
Jan 12, 2018 · Agent-based modeling is an increasingly popular method for visualizing, analyzing, and informing complex dynamic systems in public health.
Agent-based models are computer simulations used to study the interactions between people, things, places, and time.
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Aug 30, 2023 · Agent-Based Modeling and Simulation (ABMS) is a methodological science for studying complex systems, and is associated with many other fields [ ...
Jun 30, 2017 · Indeed, ABMs can be viewed as methods to identify a set of plausible assumptions that produce, through simulation, a system matching the real ...
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