Hybrid Simulation Modelling Lab
The Hybrid Simulation Modelling Lab, established in 2020, specialises in advanced modelling and simulation techniques to develop practical, evidence-based data-driven solutions for complex systems. By integrating System Dynamics (SD), Agent-Based Modelling (ABM), Discrete Event Simulation (DES), statistical and spatial analysis the lab addresses critical challenges in sectors such as healthcare, energy, transportation, and environmental sustainability. Our lab brings together a network of experts and academics to foster innovation, promote interdisciplinary collaboration, and drive impactful research. Through cutting-edge simulations, we provide insights that support decision-making, optimise processes, and solve real-world problems that governments, industries and societies face.
As part of an independent study undertaken by the Hybrid Simulation Modelling Lab (HSML), this survey helps determine public confidence in the HSE Mid-West health region. An Overall Confidence Index combines average scores across sections to create a comprehensive HSE Mid-West Health Region confidence index. This region-specific survey will give insights into public confidence focused on the HSE Mid-West health region, supporting tailored strategies for improvements where needed. Your participation will remain anonymous and is voluntary. You must be over 18 years of age, and there is one response per participant.
UHL ED Overcrowding Public Perception Survey
Current Work
Abstract
Background: Ireland’s Mid-West (MW) health region faces critical challenges in acute care capacity, including overcrowding and bed shortages at University Hospital Limerick (UHL), leading to significant high trolley counts at UHL ED with “almost certainly avoidable death”.
Methods: Spatial analysis and System Dynamics (SD) modelling were employed to identify underserved areas and simulate resource redistribution scenarios. Population density, travel distances, and European Union (EU) benchmarks contextualised acute care bed shortfalls. The study advances SD modelling to assess system behaviours and inform equitable healthcare strategies.
Results: Disproportionate resource allocation, with 85% of investments focused on County Limerick, has left Clare and North Tipperary underserved, creating healthcare disparities. Findings indicate significant deficits in Clare (352 beds) and North Tipperary (145 beds) by 2031. Redistributing healthcare resources could reduce the burden of UHL’s emergency department by over 38,000 annual attendees. Ennis, Nenagh, and West Clare emerge as priority sites for capacity expansion.
Conclusion: Addressing acute care shortages through resource redistribution promotes regional healthcare equity. SD modelling provides policymakers with tools to evaluate long-term impacts and support data-driven decisions. Future participatory approaches like Group Model-Building workshops could identify barriers like staffing and infrastructure gaps to co-create tailored solutions.
Preliminary Analysis for Equitable Healthcare Delivery in Ireland’s Mid-West Health Region Using System Dynamic Approaches
Sinéad M. Madden
Research Article
With a deep understanding of complex systems, we specialise in creating hybrid simulation models that accurately depict real-world scenarios. Our expertise enables governments and organisations to optimise operations and make informed evidence-based decisions.
Optimise operations through evidence-based data-driven strategies
Improve resource management and efficiency.
Make informed decisions based on precise model outcomes.
Mitigate risks with predictive simulations.
Stakeholders engagement
Participatory modelling workshops
Survey development and implementation
Services