Research Projects
Showing 1-12 of 19 research projects
SAMueL 2 – Stroke Audit Machine Learning
This is a legacy project
Methodology:
- Operational Research and Data Science (PenCHORD)
SWAIH (South West Analytics and Infrastructure in Healthcare)
This is a legacy project
Methodology:
- Operational Research and Data Science (PenCHORD)
IPACS – Improving Patient flow between Acute, Community and Social care
This is a legacy project
Methodology:
- Operational Research and Data Science (PenCHORD)
Improving hospital discharge flow through scalable use of discrete time simulation and scenario analysis
Read the publicationHealth and Care Operational Research Network – HaCORN
This is a legacy project
Methodology:
- Operational Research and Data Science (PenCHORD)
Developing a generic vaccination delivery model to support vaccination services during the COVID-19 pandemic and beyond
This is a legacy project
Methodology:
- Operational Research and Data Science (PenCHORD)
Using Systems Dynamics modelling during COVID-19
This is a legacy project
Methodology:
- Operational Research and Data Science (PenCHORD)
Police Service Modelling Associates (PSMA) Programme
This is a legacy project
Methodology:
- Operational Research and Data Science (PenCHORD)
Modelling demand and capacity for NHS Trusts in the South West
This is a legacy project
Methodology:
- Operational Research and Data Science (PenCHORD)
Dialysis Service Modelling in Portsmouth
This is a legacy project
Methodology:
- Operational Research and Data Science (PenCHORD)
A simulation modelling toolkit for organising outpatient dialysis services during the COVID-19 pandemic
Read the publicationEnd of Life Care Resource Modelling
This is a legacy project
Methodology:
- Operational Research and Data Science (PenCHORD)
Modelling palliative and end-of-life resource requirements during COVID-19: implications for quality care
Read the publicationSAMueL – Stroke Audit Machine Learning
This is a legacy project
Methodology:
- Operational Research and Data Science (PenCHORD)
What would other emergency stroke teams do? Using explainable machine learning to understand variation in thrombolysis practice
Read the publicationWhat would other emergency stroke teams do? Using explainable machine learning to understand variation in thrombolysis practice
Read the publicationUpdating estimates of the number of UK stroke patients eligible for endovascular thrombectomy: incorporating recent evidence to facilitate service planning
Read the publicationNational implementation of reperfusion for acute ischaemic stroke in England: How should services be configured? A modelling study
Read the publicationUse of Clinical Pathway Simulation and Machine Learning to Identify Key Levers for Maximizing the Benefit of Intravenous Thrombolysis in Acute Stroke
Read the publicationCan clinical audits be enhanced by pathway simulation and machine learning? An example from the acute stroke pathway.
Read the publicationOptimising the location of urgent care sites in Cornwall
This is a legacy project
Methodology:
- Operational Research and Data Science (PenCHORD)