Hybrid Simulation Modelling Lab
The Hybrid Simulation Modelling Lab (HSML), established in 2020, specialises in advanced modelling and simulation techniques to deliver practical, evidence-based solutions for complex systems. By integrating System Dynamics (SD), Agent-Based Modelling (ABM), Discrete Event Simulation (DES), along with statistical and spatial analysis, the Lab tackles critical challenges in healthcare, energy, transportation, and environmental sustainability.
HSML brings together a network of experts and academics to foster innovation, promote interdisciplinary collaboration, and drive impactful research. Our hybrid simulation models combine multiple methodologies to capture both high-level system structures and detailed individual behaviours, generating insights that support policy, optimise processes, and address real-world problems faced by governments, industries, and society.
Simulation is not one-size-fits-all. While aggregated models offer system-wide perspectives and individual-based models highlight heterogeneity, hybrid approaches enable a more complete understanding of dynamic, uncertain environments. By investing in these cutting-edge tools and methodologies, HSML advances research and delivers solutions with measurable economic, social, and global impact.
The Lab’s capabilities support evidence-based decision-making for governments, industries, and organisations operating in complex environments. By simulating a range of scenarios and analysing potential outcomes, leaders can make informed choices that deliver positive impacts across society, the environment, and the economy. The HSML provides a powerful platform to test policies, regulations, and investment strategies before implementation, enabling both public and private sector stakeholders to evaluate risks, optimise resources, and design solutions that are more effective, efficient, and sustainable.
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
HSML MIDCARE© Interactive Dashboards
HSML MIDCARE© Urgent and Emergency Care (UEC) Trends
HSML MIDCARE© Acute Hospital Bed Ratios Mid-West
HSML MIDCARE© Mid-West Acute Hospital Bed Allocation
HSML MIDCARE© Population to Emergency Department Ratios
HSML MIDCARE© UHL ED Trigger Years for Critical Mass at 60 and 70k
HSML MIDCARE© Population Proportion Redistribution
HSML MIDCARE© Global Curative Bed Ratios OECD
HSML MIDCARE© National Acute Beds to Population
Selected MIDCARE© Analysis
MIDCARE© Operational Level Capacity
Monitor and simulate real-time operational pressures, such as emergency department attendees and hospital capacity. This dashboard enables frontline teams to test interventions and plan responses under varying demand conditions.
Our suite of interactive dashboards provides evidence-based insights to support planning, resource allocation, and operational decision-making across the health system. Each dashboard is designed to translate complex data into clear, actionable intelligence for practitioners, policymakers, and researchers. Note dashboards are in various stages of development.
MIDCARE© Determinants of Health
Explore the broader social, economic, and environmental factors that shape population health outcomes. This dashboard highlights key indicators that influence well-being and equity in the Mid-West region.
MIDCARE© University Limerick Hospital Group Resource Allocation
Analyse how healthcare resources are distributed across the Mid-West. This dashboard helps assess efficiency, equity, and alignment of resources with regional population health needs.
MIDCARE© Strategic Level Capacity
Project long-term healthcare demand and capacity requirements at a population level. This tool supports strategic planning by modeling future scenarios and identifying system-level pressures.
HSML MIDCARE© Acute Bed Capacity Analysis
HSML MIDCARE© Urgent and Emergency Care Analysis
HSML MIDCARE© Population Analysis
HSML MIDCARE© Spatial Analysis
HSML MIDCARE© Demographics Ireland 2050
HSML MIDCARE© Population Proportions Midwest
HSML MIDCARE© Demographics Ireland 2023
HSML MIDCARE© Map Mid-West Health Region
HSML MIDCARE© Radial Graph
HSML MIDCARE© Emergency Department Visits by Age
HSML MIDCARE© Emergency Department Visits by Health Condition
HSML MIDCARE© Emergency Department by Location
HSML MIDCARE© Emergency Department Utilisation Survey
HSML MIDCARE© Overall Confidence Index by Age
HSML MIDCARE© Overall Confidence Index by Emergency Department Visits
HSML MIDCARE© Overall Confidence Index by Health Condition
HSML MIDCARE© Overall Confidence Index by Location
HSML MIDCARE© Heatmap
HSML MIDCARE© Overall Confidence Index Survey
HSML MIDCARE© Population Projections
MIDCARE© Geriatric Emergency Care
Specialised decision-support tool designed to improve outcomes for older adults in emergency care settings, helping healthcare teams rapidly assess patient needs, monitor geriatric-specific risks, and coordinate care more effectively.
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Disclaimer: Every effort has been made to ensure the accuracy of the information presented. However, the Hybrid Simulation Modelling Lab (HSML) accepts no responsibility for any loss, damage, or inconvenience arising from errors or omissions. Information is updated regularly, but HSML cannot guarantee its accuracy at any specific point in time. Users seeking to rely on this information should obtain independent confirmation directly from HSML. The outputs presented are developed independently by HSML to advance evidence-based decision-making, with a focus on measurable impact. The contents of MIDCARE (v0.1) are currently under peer review. Findings and interpretations are provisional, subject to revision, and may differ from final published outcomes. No part of this content may be reproduced without prior written consent. Full details of studies and associated simulation data are available upon reasonable request.