APAIDec 14, 2020

Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic

arXiv:2012.07188v112 citations
AI Analysis

This tool addresses the critical problem of hospital resource management for crisis teams, medical professionals, and administration during a pandemic, offering a comprehensive simulation and planning solution.

The babsim.hospital tool was developed to assist hospitals with resource planning during the COVID-19 pandemic. It allows for the simulation of various scenarios, comparison with local planning, and analysis of pandemic progression at different geographical levels, considering resources like beds, ventilators, and staff.

We present a resource-planning tool for hospitals under special consideration of the COVID-19 pandemic, called babsim.hospital. It provides many advantages for crisis teams, e.g., comparison with their own local planning, simulation of local events, simulation of several scenarios (worst / best case). There are benefits for medical professionals, e.g, analysis of the pandemic at local, regional, state and federal level, the consideration of special risk groups, tools for validating the length of stays and transition probabilities. Finally, there are potential advantages for administration, management, e.g., assessment of the situation of individual hospitals taking local events into account, consideration of relevant resources such as beds, ventilators, rooms, protective clothing, and personnel planning, e.g., medical and nursing staff. babsim.hospital combines simulation, optimization, statistics, and artificial intelligence processes in a very efficient way. The core is a discrete, event-based simulation model.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes