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Supporting the NHS through Operational Research

Researchers from PenARC's Operational Research team, PenCHORD, have been working in partnership with colleagues at the University of Exeter to deliver rapid operational research projects for the NHS during the COVID-19 pandemic (see list below).

PenCHORD Director, Professor Martin Pitt, has also set up a National Covid-19 Operational Research group who meet at regular weekly intervals to help ensure a collaborative approach to operational research initiatives across the UK.

If you have a project suggestion or would like to be involved with the national group then please contact PenARC@exeter.ac.uk.

Project status

Project Details

Active

Modelling demand and capacity for NHS Trusts in the South West

A tool has been developed to support forecasting resource demand and staffing capacity for hospitals across the South West.

The forecasts have been used to help predict the demand for in-patient beds, intensive care, PPE, ventilators, oxygen and testing kits. They have also incorporated predicted hospital staffing requirements, including the levels of staff that may be off-duty due to illness and self-isolation.

Trusts who are interested in making use of the tool should contact penarc@exeter.ac.uk in the first instance.

Active

End of Life Care Resource Modelling

Developing a tool to model the End of Life Care resource requirements in Bristol, North Somerset and South Gloucestershire

Complete

Dialysis Service Modelling in Portsmouth

Using geographic modelling and optimisation to identify how best to manage the dialysis population during the COVID-19 outbreak.

Active

Using modelling to help manage, prioritise and schedule the backlog of elective / outpatient appointments 

Initially this work will begin looking at the Royal Devon & Exeter NHS Foundation Trust Orthopaedics consultations, with plans to extend to other Trusts and specialities within the region.

Active Modelling the mental health incidence surge in Devon in the aftermath of COVID-19

Complete

Using intelligent sample pooling to increase the UK Covid-19 screening capacity

Work in PenCHORD has shown that an intelligent sample pooling strategy could likely increase routine surveillance COVID-19 screening capacity in the UK 10 fold compared with the current strategy. Though samples are pooled, this strategy requires little or no individual follow-on screening of individual samples.

Complete

Modelling to support Covid-19 screening ‘super-lab’

PenCHORD, through laboratory simulation, has supported planning and operation of the combined AZ/GSK/Cambridge University Covid-19 screening 'super-lab' hosted at the University of Cambridge.

Upcoming Events

Sep
10

Searching and Review Clinic

Online appointments via Microsoft Teams

COVID-19 update: As a result of the pandemic, all PenARC staff are currently working remotely. While...
More information

Sep
22

Searching and Review Clinic

Online appointments via Microsoft Teams

COVID-19 update: As a result of the pandemic, all PenARC staff are currently working remotely. While...
More information

Calendar

News

Reorganising dialysis services during the COVID-19 outbreak

30 June 2020

A collaboration between PenARC, the University of Exeter and Portsmouth Hospitals NHS Trust is making...
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Research collaboration leads “rapid response” data analysis to aid NHS during COVID-19 epidemic

29 April 2020

A collaboration between PenARC and University of Exeter Researchers and the NHS has developed a crucial new tool...
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COVID-19 Update Newsletter available now

28 April 2020

Our latest newsletter, with news of how we are responding to the Covid-19 crisis, plus an invitation...
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News

Research Projects

Modelling demand and capacity for NHS Trusts in the South West

Theme: ARC - Methods for Research & Improvement

A tool has been developed to support forecasting resource demand and staffing capacity in NHS...
Read more

Dialysis Service Modelling in Portsmouth

Theme: ARC - Methods for Research & Improvement

Using geographic modelling and optimisation to identify how best to manage the dialysis population at...
Read more

Research Projects