Our state of the art research causes healthcare professionals to rethink how they manage large and complex healthcare systems. Our sophisticated modelling tools, professional training courses, and consultancy support those involved in commissioning, delivering or managing services in a rapidly changing health and social care landscape.
Who are we?
The Health and Social Care Modelling Group (HSCMG) is a cross campus interdisciplinary research group, with expertise in medicine, healthcare, operational research, artificial intelligence (AI) and statistics. Setup in 1995, the group is renowned for its high quality healthcare systems research and quantitative decision support tools. We have also enjoyed success in delivering professional training courses, tailored to the needs of healthcare practitioners, in the areas of quantitative and qualitative modelling. At present, HSCMG is based in the School of Electronics and Computer Science at the University of Westminster, London, UK and comprises of academics, clinicians, research fellows, research students and administrators. We work on numerous health-related topics, including the planning and management of health and social care services. The group is currently led by Professor Thierry J. Chaussalet
We have expertise and skills in the following areas:
- Quantitative modelling of the process and management of care
- Intelligent data driven methods and AI for informed healthcare decision making and performance management
- Data Science and Analytics for care resources planning and management
Selected Recent Funded Projects
Project | Funder |
---|---|
Forecasting Length of Stay and Cost (FLoSC) | Department of Health |
Mining patient profile and cohort of users of a portfolio of services | NHS Hounslow |
Modelling capacity & demand for a polyclinic | NHS Hounslow |
Predicting placement, length of stay, and cost in NHS continuing care [PhD studentship] | NHS London Procurement Programme |
Teaching Operational Research for Commissioning in Health | NHS Institute / University of Exeter (lead) |
A robust simulation tool to be developed and sold as stand-alone application or integrated into other products | Technology Strategy Board |
A scenario planning tool for better management of care services | Department of Health |
Evaluation of the Scenario Generator software tool | NHS Institute / University of Southampton (lead) |
Evidenced based planning and modelling for primary care trusts | Technology Strategy Board / EPSRC |
NHS Activity Forecasting | Monitor (now NHS Improvement) |
Safe staffing guideline A&E economic analysis | National Institute for Health and Care Excellence (NICE) – Optimity Advisors leading |
Predictive Risk Modelling for Integrated Care | SBRI Healthcare – SBRI-COLAB-5731 (NHS England) – led by Docobo |
Risk stratification of nursing homes | Surrey Downs CCG / Docobo |