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NHS

Modelling strategies to reduce the elective backlog in hip surgery
This project used Discrete Event Simulation to model the hip surgery patient pathway in Exeter to understand the potential impact of various strategies to reduce the backlog…
Claire Rudler, Matt Smith, Imca Hensels-Pelling, Zoe Ficken

Developing a generic vaccination service model for the COVID-19 pandemic and beyond
In winter 2020, vaccinations had recently been approved for use in the UK to protect people against the COVID-19 virus. Consequently, a mass vaccination programme was…
Dr Adam Kwiatkowski

Exploring the use of Machine Learning and Natural Language Processing to teach a machine to predict whether a patient is likely to be imminently admitted to hospital based on GP data and clues in GP notes
This exploratory project explored the use of Natural Language Processing methods to automate the extraction of key information from free-text patient notes in order to…
Dr Adam Kwiatkowski, Prof Mona Nasser, Imca Hensels-Pelling

Simulation modelling to test proposed models of pediatric critical care in South West England
This project used a combination of Discrete Event Simulation and Geographic Modelling approaches to determine where Level 2 Pediatric Critical Care Units should be located…
Adam Scull

The Effect of Booked Appointments on Waiting Times at Urgent Treatment Centres
The aim of the project was to examine in more detail the question of whether booked appointment times might reduce waiting times in Urgent Treatment Centres (UTC). This was…
Alice Waterhouse

South East Regional Covid 19 Vaccination Demand & Capacity Modelling
The aim of the project was to create an easy to use model for predicting demand and capacity for Covid vaccinations.
Charlene Black, Adonis Sithole, Edward Chick, Mayoor Dhokia

Use of Discrete Event Simulation to Tackle Long Waits and a Growing Backlog for Children Requiring Neuro Development Assessment (Autism and ADHD)
The aim of the project was to understand the current pathway to assessment of Autism and ADHD in children, identifying any bottlenecks. We wanted to know what change needed…
Irma Tanovic

Using DES to Improve Flow through an Acute Medicine Assessment Pathway
Nottingham University Hosptials has two major Acute Medicine Assessment areas (WB3 and AMRA), where patients can be reviewed before being sent to the most appropriate…
Helen Young, Thomas Knight

Discrete Event Simulation of Cognitive Behavioural Therapy Pathway in an IAPT Service
The aim of the project was to use Discrete Event Simulation (DES) to model the current wait list for High Intensity Cognitive Behavioural Therapy (HI-CBT). The team wanted…
Katie Brown, Hannah Carroll, Andrew Poole, Matthew Chapman

Use Of Discrete Event Simulation (DES) to reduce delays in Cancer Diagnosis & Treatment
The project aim was to develop a Discrete Event Simulation (DES) model based on Colorectal Cancer pathway at Gloucester Royal Hospital to identify the key delays within the…
Angel Masih, James Page, Mahya Kaveh

Discrete Event Simulation to Improve Flow and Performance in the Urgent Treatment Centre
The primary aim of the project was to improve Urgent Treatment Care (UTC) performance by developing a model which would help the Emergency Department (ED) team with the…
Shilpa Patel

Forecasting Demand and Length of Stay in the Emergency Department
The project aimed to use forecasting and machine learning methods to predict the length of stay and arrivals to the Emergency Department (ED) at different times of day, days…
Lisa Sabir

Meeting the demand of 111 for primary care services
This was an attempt to model the impact of enforcing timely primary care interventions when 111 calls are undertaken.
Richard Pilbery, Maddie Smith, Jon Green

Using Machine Learning to Predict Hospital Admissions and Length of Stay for Respiratory Conditions
The aim of the project was to use available Primary and Secondary Care patient history and demographic information to better predict the chance of admission for respiratory…
Andy McCann

The role of Patient Initiated Follow-up (PIFU) and ‘Digital Outpatients’ in Supporting the Elective Recovery - Can We Better Size Potential for Clearing the Backlog?
The aim of the project is to find out what role Patient Initiated Follow-up (PIFU) can play in the redeployment of capacity to address the backlog. This will be done by…
Martina Fonseca, Xiaochen Ge

Predicting Non-Elective Admissions
The project aim was to develop a predictive model to identify patients at high risk of admission and to provide explanatory feedback as to why the patients were at risk.…
Stephen Ashmead, Karim Kamara, Jahangir Alam

Predicting Violent Incidents on Mental Health Inpatient Units
The aim of the project was to see if the occurrence of violent incidents on hospital wards could be reduced, if incidents could be pre-empted and interventions could be…
Iain Waring

Reducing Travel Times to Treatment for Cardiac Patients in the South East of England
The aim of the project was to employ geographical and statistical analysis of past and present travel times to understand the impact the flow of activity into London has on…
Glenn Ubly, Atonia Drummond, Janine James, Victor Yu

Developing a Service Planning Decision Support Tool to Tackle Inequalities and Minimise Carbon Output
There are three current significant health agendas to which this project broadly relates.
Matt Eves, Anya Gopfert, Sally Brown

Using Discrete Event Simulation to model the bottlenecks in the Acute Medical Unit pathway
The team’s project was to create a computer model of part of the acute medical pathway in their hospital trust. As part of this process patients come in with non-surgical…
Becky Crofts, Kayleigh Haydock

A Discrete Event Simulation Model to reduce Rheumatology waiting times in Dorset
The current Referral to Treatment waiting list is at its highest level in NHS history. Identifying methods for reducing the waiting list and waiting times would benefit…
Abby Dewhurst, Claire Davies, Krzysztof Cepa

Discrete Event Simulation to model elective surgery pathways
The aim of the project was to create a Discrete Event Simulation in SimPy to model elective surgery pathways, which could be used to model changes to a pathway and their…
Dominic Allen

Modelling the effect of complex discharge delays on acute performance
Hospitals across the country are struggling to provide patients with the care they need in a timely manner. Increasing waiting times in A&E departments, long waits for…
Hannah Perkins

Forecasting Demand – Investigating approaches to forecast clock starts
Within the organisation (NHS England) forecasting for clock starts is currently done using scenario-based modelling in Excel. This limits how much data can be used to make…
Jane Kirkpatrick, Mathew Ojo, Lyndsey Allen, Luke Asante, Evelyn Koon

Creating a tool to automatically generate health equity audits for Community Diagnostic Centres
Community diagnostic centres (CDCs) have been launched across England to tackle the diagnostic backlog and address healthcare inequalities. CDCs and commissioners struggle…
Sarah Houston, Deborah Newton

Developing a tool to assess inequalities and demographic coverage of service locations
This project hopes to empower NHS service providers with a tool that grants a deeper understanding of the population they serve and allows them to direct future service…
Alex Owens, Phoebe Woodhead, Sian Heath

Using Machine Learning to estimate inequities in access to hospital procedures
The aim of this project was to determine on an ICB, LTLA and UTLA the overall level of disparity in accessing planned appointments in hospital. The team did this for each…
Benjamin Mouncer

Network Analysis of diagnostic procedures in A&E setting
In A&E a patient can be given one or more diagnostic procedures. These can be as simple as the various blood test or more complicated procedures like an MRI test. The aim of…
Hamzah Shami

Investigating factors impacting NHS workforce retention
Marie Rogers, Richard Pilbery
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