Integrating Epidemiological Modelsand Hospital Resource Management – A Demonstration of the Agent-Based Simulation Tool HosNetSim

This paper presents the design and implementation of a unidirectional data interface connecting epidemiological forecasting models with hospital resource management tools, developed within the PROGNOSIS project to enhance hospital preparedness for pandemics and epidemics. We demonstrate the practical application of this interface through HosNetSim, a novel agent-based simulation tool specifically designed to support hospital and hospital group administrators, as well as public health authorities in hospital supply chain decision-making. The interface provides standardized, geographically specific, and daily updated forecasts of hospital burden across multiple respiratory diseases and care levels, enabling what-if scenario analysis. HosNetSim utilizes these forecasts to evaluate and visualize critical supply chain decisions, including inventory management policies, inventory pooling, and transshipments. By simulating realistic operational scenarios, HosNetSim illustrates the trade-offs between service levels and associated costs from the perspectives of individual hospitals, hospital groups, and regional networks.

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Journal
Proceedings of the ... International ISCRAM Conference
Published
2025-05-17
DOI
https://doi.org/10.59297/rp8c0d41
Primary Topic
demographic modeling and climate adaptation
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrating Epidemiological Modelsand Hospital Resource Management – A Demonstration of the Agent-Based Simulation Tool HosNetSim

Bernd Hellingrath, Sebastian Henke, Johannes Ponge
Proceedings of the ... International ISCRAM Conference
demographic modeling and climate adaptation
article

Integrating Epidemiological Modelsand Hospital Resource Management – A Demonstration of the Agent-Based Simulation Tool HosNetSim

Bernd Hellingrath, Sebastian Henke, Johannes Ponge
article en

Abstract

This paper presents the design and implementation of a unidirectional data interface connecting epidemiological forecasting models with hospital resource management tools, developed within the PROGNOSIS project to enhance hospital preparedness for pandemics and epidemics. We demonstrate the practical application of this interface through HosNetSim, a novel agent-based simulation tool specifically designed to support hospital and hospital group administrators, as well as public health authorities in hospital supply chain decision-making. The interface provides standardized, geographically specific, and daily updated forecasts of hospital burden across multiple respiratory diseases and care levels, enabling what-if scenario analysis. HosNetSim utilizes these forecasts to evaluate and visualize critical supply chain decisions, including inventory management policies, inventory pooling, and transshipments. By simulating realistic operational scenarios, HosNetSim illustrates the trade-offs between service levels and associated costs from the perspectives of individual hospitals, hospital groups, and regional networks.

Proceedings of the ... International ISCRAM Conference
University of Münster (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 66%
demographic modeling and climate adaptation
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