Research Liaison Network
The Research Liaison Network (RLN) was established within the Association of Professional Healthcare Analysts (AphA) in 2025 with the purpose of strengthening the links between analytic and research communities in health and care.
As such it has incorporated the Modelling and Simulation Network (MASHnet) which was first established in 2005 and aims to build on the existing initiatives such as those within operational research and health data science more generally.

Benefits of Effective Networking
Research Liaison Network Objectives
To Enhance Education and Training
By providing learning and development opportunities, advising on suitable training pathways, identifying priority needs and standards, supporting the communication and implementation of outputs in health services, and promoting career progression and adoption within healthcare settings.
To Promote Effective Adoption and Evaluation
By supporting critical review and quality assurance of analysis, ensuring valid outputs for health and care services, and encouraging the publication and sharing of good practice and research.
To Provide Resources
By identifying key data and analytic sources, developing tools to support the network’s aims, responding to opportunities as needed, sharing best practice to promote adoption, and liaising with other networks and organisations with aligned objectives.
To Foster Collaboration and Communication
By strengthening links between research and health service analysts, providing a forum and central point for information exchange, organising activities to bring stakeholders together, connecting key individuals to drive research initiatives, and promoting partnership working across communities.
To Address Key Issues
By tackling data availability concerns, supporting research funding, promoting effective implementation through partnerships, identifying priority areas for action, and overcoming barriers to maximise research impact.
To Provide a Platform for Lobbying and Influence
By representing the interests of health service analysts and researchers and promoting the impact of analytic and research initiatives on improving outcomes.
Stakeholders
Chair Profiles

Prof Martin Pitt
Professor of Applied Healthcare Modelling and Data Science
University of Exeter, Medical School
Martin was appointed as the first president of AphA in 2018. He has recently retired as Director of the Peninsula Collaboration for Health Operational Research and Data Science (PenCHORD) based at the University of Exeter Medical School a team which has been highly effective in delivering a wide range of applied models to support services working directly with health and care professionals and organisations. PenCHORD has also promoted capacity building within the health professions for example through its highly acclaimed Health Services Modelling Associates programme.
Martin’s main interest is in promoting the implementation of modelling, simulation and analytic solutions to support, inform and improve health policy and decision making. A large part of this is achieved through enhancing collaboration and
communication as well as through capacity building for those working directly in healthcare analytics.
In 2004, Martin established the Modelling and Simulation in Healthcare Network (MASHnet) the forerunner of AphA’s Research Liaison Network which aims to promote closer co-operation between professionals in health, research and
commercial organisations to improve the application of healthcare modelling and data science. He currently chairs HaCORN (Health and Care Operational Research Network) which brings together relevant professionals from across communities and also helped establish AphA’s Evaluation and Accreditation Committee looking at the quality assurance of relevant training offerings for health service analysts.

Prof Adele Marshall
Professor of Statistics
School of Mathematics & Physics, Queen’s University Belfast
Adele is a researcher and Professor within the School of Mathematics and Physics at Queen’s University Belfast, and holds an Adjunct Professorship at Ontario Tech University. Her research expertise lies at the intersection of statistical modelling, Operational Research, and AI, with a specific focus on hybrid healthcare models. She commenced her research in Coxian phase-type distributions in 1997 during her PhD. This area, which initially had barely any research activity, is gradually gaining momentum, with more researchers wishing to explore the models for alternative use, further development, and application. Her early work involved the incorporation of Bayesian Belief Networks to create a “hybrid” approach to decision-making under uncertainty. While the original research focused on healthcare for the elderly, the UK Health Reform in 2010 and the growing need for all countries to plan and manage elderly healthcare costs make this research extremely topical and relevant for societal impact. In the last two years, major developments in coding have resulted in these various models becoming much more accessible to researchers in other domains, with future research in this field looking very promising. Alongside this, Prof Marshall’s work in establishing CenSSOR, and serving as its Director for 12 years, has led to Queen’s being recognized as an expert hub in this field. She further established this reach in 2017 by establishing the MSc Data Analytics programme building capacity in data and analytics skills in both the public and private sectors. The practical application of her research remains a priority. Most notably, during the COVID-19 pandemic, her “Change Point Agent-Based Model” provided evidence-based insights for national policy decisions.

Dr Jenny Morgan
Operational Research and Modelling Development Manager
NHS Wales
Jenny Morgan is an Operational Researcher, with over 20years of experience of modelling to support planning and delivery in health and care. She holds a PhD in Mixed Methods Modelling (Discrete Event Simulation and System Dynamics) and
works at the NHS Wales Performance and improvement (NHSWPI), Data & Analytics Function. Since 2018 she has chaired the NHS Wales Modelling Collaborative – a networking group to promote using modelling and analytics to support planning, and facilitate the sharing of good practice, tools and insights across health and care in Wales.
Prior to working in (NHSWPI), Jennifer worked at Cardiff University School of Mathematics as an embedded researcher with Cardiff and Vale University Health Board using modelling to inform decision making, applying research into practice. Jennifer is the Wales Branch Lead for the Association of Professional Healthcare Analysts, and a member of the System Dynamics UK Policy Council.

Prof Christos Vasilakis
Professor and Chair in Management Science,
Founding Director of the Bath Centre for Healthcare
Innovation & Improvement (CHI2)
University of Bath: School of Management
Christos is Professor and Chair in Management Science at the School of Management and Director of the Bath Centre for Healthcare Innovation and Improvement (CHI2), both at the University of Bath. In 2020 he was a Visiting Scholar at the Department of Management Science & Engineering, Stanford University and was involved in a number of applied research projects with the Lucile Packard Children’s Hospital Stanford.
Christos conducts analytically rigorous but highly applied research that generates both academic and practical impact. Working in close collaboration with clinicians and healthcare professionals, he develops and applies rigorous methods to help
better plan and deliver care services. He is also interested in the evaluation of the likely impact of healthcare interventions and policy initiatives using mathematical modelling and computer simulation. At Bath he has set up CHI2 to help focus the
School’s applied health research with partners from the local and regional health and care economy. He also co-created and is Lead Educator of the very successful Massive Open Online Course (MOOC) in Quality Improvement in Healthcare, offered
through the Future Learn platform.
Sponsors
Research Liaison Network News
This section shows information about forthcoming events, recent news and developments within health services modelling and simulation.
If you have an item for the RLN noticeboard, please contact us so we can display it here.
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MASHnet to integrate into AphA
MASHnet to integrate into AphA Following extensive consultations, MASHnet will merge into the Association of Professional Healthcare Analysts CIC (AphA). This has been welcomed by…
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Re-energising MASHnet
Re-energising MASHnet 16-17th Oct 2023 – Following a recent lull during the Covid period, a small group met to determine next steps for the Network….
Research Liaison Network Case Studies
This listing addresses the frequently expressed need for more information about examples of implemented applications of modelling and simulation within the NHS. It provides a simple, internet-based directory of modelling applications that have been used within the health services.
Every system shown in this list should be in use, or have been used, in some capacity to support an aspect of health service delivery. The perceived success or otherwise of a system does not affect inclusion since many important lessons can be learned from systems that have ‘failed’ or are outdated.
PLEASE NOTE: Inclusion within this Case Study listing does not imply that RLN endorses or recommends a specific system listed.
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Emergency service simulation
Emergency Service Simulation Use of a simulation model to help re-design and improve emergency services at the RD&E Hospital. Client Royal Devon and Exeter NHS…
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Redesigning Emergency Stroke Pathways to Maximise Thrombolysis Rates
Redesigning Emergency Stroke Pathways to Maximise Thrombolysis Rates A simulation study of emergency stroke care showing the impact of different interventions. Application has greatly improved…
Research Liaison Network Resources
This section provides a wide range of information relevant to the effective application of modelling and simulation in health services. You can explore & search it using the menu options below.
We welcome additional resources or suggestions – please contact us if you have any material you would like to add or ideas for improvement.
NOTE: We are currently building content in this section.
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Change By Design – Booklet introducing Healthcare Modelling and Simulation
Change By Design – Booklet introducing Healthcare Modelling and Simulation To download please see below. This A4 booklet (produced by the Health Services Research Network…
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Three Wins: Service Redesign Through Flow Modelling, by Simon Dodds
Three Wins: Service Redesign Through Flow Modelling, by Simon Dodds A review of Simon Dodds’ book which examines the use of simulation in the redesign…
Research Liaison Network Events
View more events in our full event listing



