HSMA Projects by Cohort

Here you can find details of a range of current and previously-completed HSMA projects.

Use the categories on the right to filter projects by technique or service area.

Click on the preview for each project to read the full details. For many completed projects, you can watch a short talk from the HSMAs who undertook the project on their plans, successes and challenges.

Alumni Projects

HSMA alumni can now register a project at any point and receive support from HSMA staff, mentors and alumni. This section contains projects registered by alumni of earlier rounds of the programme.

Geographic modelling of resource utlitisation at Devon Air Ambulance
Geographic modelling of resource utlitisation at Devon Air Ambulance
Active

A geographical modelling project on the utilisation of resources at Devon Air Ambulance, modelling current demand and conducting what if scenarios to optimise service…

Automating and scaling waiting list equity analysis at a trust level
Automating and scaling waiting list equity analysis at a trust level
Active

More information coming soon!

SIMPACT: Simulation of Medical Patient Admission and Care Throughput
SIMPACT: Simulation of Medical Patient Admission and Care Throughput
Active

More information coming soon!

eFIT: Extra funding allocation - inequality tool
eFIT: Extra funding allocation - inequality tool
Active

More information coming soon!

Modelling resourcing scenarios to meet increases in demand on a Devon eye clinic
Modelling resourcing scenarios to meet increases in demand on a Devon eye clinic
Active

More information coming soon!

Using Machine Learning to predict whether a patient might develop a SSI (Surgical Site Infection)
Using Machine Learning to predict whether a patient might develop a SSI (Surgical Site Infection)
Active

More information coming soon!

No matching items

HSMA 6

Our current cohort of students entered the project phase of the programme in October 2024.

Using Machine Learning and Explainable AI to predict and understand mental health appointment DNAs to reduce inequalities
Using Machine Learning and Explainable AI to predict and understand mental health appointment DNAs to reduce inequalities
Active

As a provider of Mental Health Services for SMI, Lancashire & South Cumbria NHS Foundation Trust is committed to helping to deliver the aims of Core20Plus5. Core20PLUS5 is a…

• Lancashire and South Cumbria NHS Foundation Trust
Discrete Event Simulation modelling of Non-elective flow
Discrete Event Simulation modelling of Non-elective flow
Active

Poor patient flow is leading to long waits for admission in Emergency Departments. This means there is poor performance against all the key ED wait metrics for the hospital…

• Countess of Chester Hospital NHS Foundation Trust
Geographic and Boosted Tree Modelling of Healthcare worker vaccination uptake
Geographic and Boosted Tree Modelling of Healthcare worker vaccination uptake
Active

There is low uptake of Healthcare Workers for COVID and Flu, which is in many Trusts decreasing with each season.

• NHS England
DESmond: Discrete Event Simulation and Artificially Intelligent Forecasting: Modelling the 62 Day Prostate Cancer Pathway
DESmond: Discrete Event Simulation and Artificially Intelligent Forecasting: Modelling the 62 Day Prostate Cancer Pathway
Active

At present we’re missing the 62 day target from referral to treatment of prostate cancer. The pathway involves numerous activities such as triaging, imaging, biopsies as…

• Great Western Hospitals NHS Foundation Trust
Discrete Event Simulation to model othopaedic theatre capacity optimisation
Discrete Event Simulation to model othopaedic theatre capacity optimisation
Active

The aim of this project is to use Discrete Event Simulation to optimise theatre capacity for elective procedures and major trauma arrivals in Orthopaedics.

• University Hospitals Coventry and Warwickshire Trust
Improving ambulance care via fast feedback from Quality Care Indicators
Improving ambulance care via fast feedback from Quality Care Indicators
Active

Our aim is to improve Ambulance Clinical Quality Indicators (ACQI) data quality and rapidly provide feedback from all ACQI records. There is potential for this tool to be…

• South Central Ambulance Service
Discrete Event Simulation modelling of childrens ADHD diagnosis and treatment
Discrete Event Simulation modelling of childrens ADHD diagnosis and treatment
Active

This project is using Discrete Event Simulation to model the children’s ADHD diagnostic and treatment pathway. The model will be used to identify delays and potential…

• Lancashire and South Cumbria NHS Foundation Trust
Modelling eye injection pathways
Modelling eye injection pathways
Active

This project aims to develop a comprehensive and flexible simulation model to optimise anti-VEGF treatment strategies in ophthalmology. The model will address the complex…

• Surrey and Sussex Healthcare NHS Trust
Modelling the impact of 111 and GP access on Emergency Departments
Modelling the impact of 111 and GP access on Emergency Departments
Active

This project will use Discrete Event Simulation to model patients’ navigation of GP vs 111 services and assess the knock-on effect for Emergency Departments.

• NHS England
Using machine learning models to predict future frailty
Using machine learning models to predict future frailty
Active

This project will use machine learning methods to estimate the size of the Wakefield District population who will likely be frail in 2 / 3 / 4 years time, and to understand…

• NHS West Yorkshire ICB - Wakefield
Understanding drivers of increased length of stay
Understanding drivers of increased length of stay
Active

NCL has observed a consistent increase in long Length of Stay (LoS) over the past 5 years. Increasing length of stay means a higher capacity is needed for the same demand…

• North Central London ICB
Forecasting modelling for A&E attendance
Forecasting modelling for A&E attendance
Active

The aim of this project is to forecast future A&E attendances 6 weeks in advance, accounting for seasonal patterns.

• Liverpool University Hospital Foundation Trust
Using classification modelling technques to investigate changes in Healthcare Resources Group (HRG) coding over time
Using classification modelling technques to investigate changes in Healthcare Resources Group (HRG) coding over time
Active

The Medium-Term Activity Projections (MTAP) model produces a set of baseline activity and price-weighted contact projections to 2040/41 for NHS England for some types of…

• NHS England
Forecasting acute bed occupancy, and simulating short term demand and capacity for acute beds
Forecasting acute bed occupancy, and simulating short term demand and capacity for acute beds
Active

The aim of this project is to develop a tool to perform time series forecasting on bed occupancy based on historical data, incorporating variables like seasonality and…

Modelling Musculoskeletal Physiotherapy services across Exeter, Mid and East Devon
Modelling Musculoskeletal Physiotherapy services across Exeter, Mid and East Devon
Active

This project aims to explore the demand for and access to Musculoskeletal Physiotherapy services across Exeter, Mid and East Devon.

Forecasting the supply of medical doctors
Forecasting the supply of medical doctors
Active

The problem: Not enough medical doctors by region and we need to establish the gap between what we have and what we need.

Optimising the location of Breast Cancer diagnostic services across Devon
Optimising the location of Breast Cancer diagnostic services across Devon
Active

Over 6000 patients a year are referred to RD&E and NDDH for fast-track breast symptom diagnosis. The fast-track clinic requires a clinician, a mammography team and a…

Referral to treatment waiting times for Neurosurgical patients
Referral to treatment waiting times for Neurosurgical patients
Active

This project will aim to model the pathway for Neurosurgical patients, and to explore, based on current waiting times,

Predicting the risk of injurious falls in older people with atrial fibrillation
Predicting the risk of injurious falls in older people with atrial fibrillation
Active

Atrial fibrillation (AF) is a common cardiac arrhythmia which increases the risk of stroke.

Clinical coding automation using Natural Language Processing
Clinical coding automation using Natural Language Processing
Active

The aim of this project is to use Natural Language Processing (NLP) to predict ICD-10 or OPCS-4 codes from doctor/patient notes, automating a task currently done manually by…

Modelling 111 option 2 call centre
Modelling 111 option 2 call centre
Active

We operate 2 separate 111 call centres for mental health patients (for both Norfolk and Suffolk). These are both set up in different ways (one fully staffed with ‘qualified’…

Predicting the future demand for Renal replacement therapy
Predicting the future demand for Renal replacement therapy
Active

The problem: Kidney disease is projected to be the fifth leading cause of premature deaths globally by 2040. With people living longer and having more comorbidities, the…

Intelligent Pathway Management
Intelligent Pathway Management
Active

The aim of the project is to use data science techniques to quantify the impact of deviations from the “Best Case Scenario” in a patient pathway, this could be diagnostics…

Predicting Gestational Diabetes and other maternity-related conditions using machine learning
Predicting Gestational Diabetes and other maternity-related conditions using machine learning
Active

Maternity-related conditions, such as gestational diabetes, can have significant impacts on the health of both the mother and baby if not identified early. Current…

Developing a streamlit app for creating Theographs of patient journeys
Developing a streamlit app for creating Theographs of patient journeys
Active

The aim of this project is to create an open source application to generate interactive theograph visuals to understand a patients’/clients’ journey through a system.

Modelling delays in breast, head and neck cancer pathways
Modelling delays in breast, head and neck cancer pathways
Active

Breast cancer and head and neck cancer are two common cancer sites, where the main clinical pathway is surgery, followed by adjuvant radiotherapy or chemotherapy. Clinical…

Modelling secondary care psychological therapy flow
Modelling secondary care psychological therapy flow
Active

Poor patient pathway flow is leading to long waits for patient to receive treatment for severe and enduring mental health problems. The current focus is for Adult mental…

Pharmacy Clinical prioritisation tool
Pharmacy Clinical prioritisation tool
Active

As with many other parts of the NHS we have significant workforce challenges meaning that the clinical team can often not interact with as many patients as they would like.…

Modelling of theatre recovery flow requirements
Modelling of theatre recovery flow requirements
Active

Staffing levels within the recovery environment are not well defined or understood. There is minimal to no literature around minimal staffing requirements within the NHS and…

Machine learning to identify possible outpatient DNAs
Machine learning to identify possible outpatient DNAs
Active

This project will use Machine Learning approaches to identify possible outpatient DNAs

Exploring factors that impact Opiate Cessation using explainable machine learning
Exploring factors that impact Opiate Cessation using explainable machine learning
Active

Many patients prescribed opiate medication for acute pain relief end up taking the medication for many years, leading to adverse events, dependence and tolerance. There is…

Using Agent Based Simulation to understand criminal adoption of new technologies
Using Agent Based Simulation to understand criminal adoption of new technologies
Active

I work in a field that researches the use of technology by criminals. Often, we want to understand how the use and behaviours for a new technology might develop, or have…

Identifying unpaid carers in Norfolk
Identifying unpaid carers in Norfolk
Active

There are thousands of unpaid carers. Among many other risks, unpaid carers are likely to experience poor mental health, loneliness and isolation. Supporting the mental and…

111 Downstream forecasting
111 Downstream forecasting
Active

The aim of this project is to develop a model that, based on incoming 111 calls, predicts the likely place, time and volume of downstream activity due to these calls. This…

Forecasting blood donation session capacity
Forecasting blood donation session capacity
Active

Blood donation sessions have limits of how many people will be able to attend a session. Bookings for sessions often don’t convert into actual donations due to…

Developing a web app to recommend appropriate technology enabled care
Developing a web app to recommend appropriate technology enabled care
Active

The growing importance of Technology Enabled Care (TEC) in today’s health and social care environment, especially with the increasing aging population and the need for…

Forecasting demand in RDUH breast care services and the impact of urban development
Forecasting demand in RDUH breast care services and the impact of urban development
Active

Historically there has been a lack of data science or accurate forecasting in developing capacity. Between 2011 and 2021 the growth in the population served by the Royal…

Mapping health inequalities, depreviation, ethnicities and crime across the UK
Mapping health inequalities, depreviation, ethnicities and crime across the UK
Active

The aim of the project is to use ONS data around ethnicities of population, health index England, Deprivation data from QOF, and overlay the same with crime statistics at a…

Evaluating the use of machine learning calssifiers for the identification of the determinants of stage at diagnosis of prostate cancers using registry data
Evaluating the use of machine learning calssifiers for the identification of the determinants of stage at diagnosis of prostate cancers using registry data
Active

This project will use a selection of ML methods to try to classify whether a given patient is diagnosed at an early or late stage of prostate cancer using a selection of…

Applying Natural Language Processing to automate the extraction and classificiation of congenital anomaly diagnoses from free text and genetic data
Applying Natural Language Processing to automate the extraction and classificiation of congenital anomaly diagnoses from free text and genetic data
Active

Congenital anomaly diagnoses can be submitted to the National Congenital Anomaly and Rare Diseases Services (NCARDRS) under an unspecific and uninformative ICD10 code of…

Modelling the benefit of MECC (Making Every Contact Count) Training using agent based simulation
Modelling the benefit of MECC (Making Every Contact Count) Training using agent based simulation
Active

Making Every Contact Count (MECC) is an e-learning programme in which health and social care staff are encouraged to use various interactions with patients to open…

Identifying which patients are most at risk for an outcome across integrated neighbourhood teams
Identifying which patients are most at risk for an outcome across integrated neighbourhood teams
Active

Population health management often use population segmentation to categorise the population according to health status, health care needs and priorities. This approach…

Using Data Science techniques to address delays in the pathway for Neurodiversity Diagnoses in Children and Young People in Devon
Using Data Science techniques to address delays in the pathway for Neurodiversity Diagnoses in Children and Young People in Devon
Active

Currently, across multiple healthcare providers in Devon, around 6,000 children have been waiting more than 52 weeks for a neurodiversity diagnosis. These diagnoses can…

Predictive modelling for smoking cessation success
Predictive modelling for smoking cessation success
Active

Smoking is a leading cause of preventable diseases and deaths worldwide. Despite numerous public health campaigns and interventions, smoking cessation remains a significant…

Population segmentation of GP-registered population in Dorset
Population segmentation of GP-registered population in Dorset
Active

The aim of this project is to create a machine learning-based population segmentation model for the GP-registered Dorset population using multiple characteristics including…

Forecasting NHS planning and performance metrics
Forecasting NHS planning and performance metrics
Active

The ICB leads on development of Operational Planning submissions to NHS England on an annual basis. This involves development trajectories against various activity and…

Proactive Patient Attendance Prediction: Enhancing Healthcare Efficiency through Attendance Forecasting
Proactive Patient Attendance Prediction: Enhancing Healthcare Efficiency through Attendance Forecasting
Active

Every month ~ 12% of outpatient appointments are not attended at Barts Health NHS Trust. This equates to over 10 thousand hours of clinical input, space and equipment that…

RALPulator : Predicting Robotic-assisted laparoscopic prostatectomy (RALP) operative times from patient letters
RALPulator : Predicting Robotic-assisted laparoscopic prostatectomy (RALP) operative times from patient letters
Active

This project is building an app that reads in patient letters ahead of surgery, uses Natural Language Processing techniques to extract key information from the text, and…

Identifying potential concurrent treatment areas and services that would better support patients with multiple, complex referral to treatment (RTT) pathways.
Identifying potential concurrent treatment areas and services that would better support patients with multiple, complex referral to treatment (RTT) pathways.
Active

The aim of this project is to use machine learning approaches to support analysis of patients with multiple concurrent RTT pathways, focusing particularly on healthcare…

Using machine learning to identify factors that increase number of appointments per pathway
Using machine learning to identify factors that increase number of appointments per pathway
Active

The new EPP data set combines data to create the most complete version of elective pathway activity we have ever had. At the moment we don’t know why some people/pathways…

Discrete Event Simulation model to support the flow of patients through Community Diagnostic Centres
Discrete Event Simulation model to support the flow of patients through Community Diagnostic Centres
Active

Community Diagnostic Centres (CDCs) are a relatively new implementation in the NHS, with the intention of improving patient flow and reducing waits for diagnostic tests, by…

Agent Based Simulation modelling influences on access to hospice care
Agent Based Simulation modelling influences on access to hospice care
Active

Not everyone eligible for hospice care is offered, or accepts it. There is research relating to all potential agents in the decision to access hospice care where healthcare…

Geographical mapping in specialist palliative and end of life care
Geographical mapping in specialist palliative and end of life care
Active

Using national health and census data, the aim of this project is to use geographic mapping to show if we are caring for a fair representation of our population. The two…

Analysis and prediction of seasonality in pathologies requiring ITU admission
Analysis and prediction of seasonality in pathologies requiring ITU admission
Active

Anecdotally, many intensive care clinicians know that admission causes follow specific patterns, for example we see more cardiac arrests in summer, more pancreatitis in…

DES model of a North West Renal Dialysis Unit to evaluate the impact of the growing need for in-centre Chronic Kidney Disease dialysis provision
DES model of a North West Renal Dialysis Unit to evaluate the impact of the growing need for in-centre Chronic Kidney Disease dialysis provision
Active

The rising demand for dialysis of patients with Chronic Kidney disease is putting regional centres under increasing strain. The North West Kidney Network are keen to…

DES Modelling of The Hyperacute / Acute Stroke Pathway - Patient and Economic Outcomes
DES Modelling of The Hyperacute / Acute Stroke Pathway - Patient and Economic Outcomes
Active

In the UK the prevalence of stroke among the population is set to increase, with some forecasts putting this between 40-60% from 2021 to 2030. This increase will not only…

Redrawing North West Ambulance dispatch Boundaries
Redrawing North West Ambulance dispatch Boundaries
Active

Within North West Ambulance Service (NWAS), there are three dispatch suites which are based in Manchester, Preston and Liverpool. Each of the sites has a number of dispatch…

Using Machine Learning to identify factors that predict cardiac mortality
Using Machine Learning to identify factors that predict cardiac mortality
Active

This project will use machine learning and explainable AI techniques to try to identify the factors that predict cardiac mortality.

No matching items

HSMA 5

Using Natural Language Processing to detect drug related content within free text
Using Natural Language Processing to detect drug related content within free text
Complete

Since the amount of data being collected and stored has increased significantly, datasets are often reviewed manually, particularly when free text fields are present. This…

• Bedfordshire Police
• Derbyshire Police
• Greater Manchester Police
Using Discrete Event Simulation to model the bottlenecks in the Acute Medical Unit pathway
Using Discrete Event Simulation to model the bottlenecks in the Acute Medical Unit pathway
Complete

In this project, a computer simulation of the acute medical pathway in a Devon trust was created, along with an interactive tool allowing parameters such as the staffing levels to be changed. This allowed staff to explore the optimum levels of resourcing, enabling risk-free testing of staffing and resource changes before committing to these changes in the real-world.

• Royal Devon University Healthcare (RDUH) NHS Foundation Trust
Modelling the effect of complex discharge delays on acute performance
Modelling the effect of complex discharge delays on acute performance
Complete

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…

• University Hospitals Plymouth NHS Trust
Discrete Event Simulation to model elective surgery pathways
Discrete Event Simulation to model elective surgery pathways
Complete

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…

• Guy’s and St Thomas’ NHS Foundation Trust
Using Machine Learning to estimate inequities in access to hospital procedures
Using Machine Learning to estimate inequities in access to hospital procedures
Complete

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…

• NHS & Norfolk County Council
Modelling the location of neonatal critical care units in North West England
Modelling the location of neonatal critical care units in North West England
Complete

In this project, the optimum location for 22 neonatal care sites across North West England was explored.

• North West Neonatal Operational Delivery Network
Network Analysis of diagnostic procedures in A&E setting
Network Analysis of diagnostic procedures in A&E setting
Complete

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…

• NHS England
Creating a tool to automatically generate health equity audits for Community Diagnostic Centres
Creating a tool to automatically generate health equity audits for Community Diagnostic Centres
Complete

Community diagnostic centres (CDCs) have been launched across England to tackle the diagnostic backlog and address healthcare inequalities. CDCs and commissioners struggle…

• UCL Partners
• Reading Borough Council
Forecasting Demand – Investigating approaches to forecast clock starts
Forecasting Demand – Investigating approaches to forecast clock starts
Complete

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…

• NHS England
• NHS North of England Commissioning Support Unit
Understanding Excess Mortality in Dorset
Understanding Excess Mortality in Dorset
Complete

The project was based on the Dorset ICS (Integrated Care Systems) Health Inequalities programme aim to improve access, enhance the experience of services for everyone.…

• Public Health Dorset
Investigating factors impacting NHS workforce retention
Investigating factors impacting NHS workforce retention
Complete

This project aimed to work out which factors are the biggest drivers of staff turnover using regression modelling on staff workforce figures as well as other local factors such as employment. This was turned into a dashboard for internal use. However, it was concluded that the currently available data only acccounted for 13% of the variation in turnover seen; more data on other factors is required to explain the patterns seen.

• NHS England
• Yorkshire Ambulance Service
A Discrete Event Simulation Model to reduce Rheumatology waiting times in Dorset
A Discrete Event Simulation Model to reduce Rheumatology waiting times in Dorset
Complete

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…

• Dorset Intelligence and Insight Service (NHS Dorset)
• BCP Council
Developing a tool to assess inequalities and demographic coverage of service locations
Developing a tool to assess inequalities and demographic coverage of service locations
Complete

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…

• NHS Arden and Greater East Midlands CSU
• Wessex AHSN
• Nottingham University Hospitals NHS Trust
No matching items

HSMA 4

The Effect of Booked Appointments on Waiting Times at Urgent Treatment Centres
The Effect of Booked Appointments on Waiting Times at Urgent Treatment Centres
Complete

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…

• NHS England and Improvement
South East Regional Covid 19 Vaccination Demand & Capacity Modelling
South East Regional Covid 19 Vaccination Demand & Capacity Modelling
Complete

The aim of the project was to create an easy to use model for predicting demand and capacity for Covid vaccinations.

• South Central and West Commissioning Support Unit
• Surrey and Borders Partnership NHS Trust
Use of Discrete Event Simulation to Tackle Long Waits and a Growing Backlog for Children Requiring Neuro Development Assessment (Autism and ADHD)
Use of Discrete Event Simulation to Tackle Long Waits and a Growing Backlog for Children Requiring Neuro Development Assessment (Autism and ADHD)
Complete

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…

• Oxford Health NHS Foundation Trust
Using DES to Improve Flow through an Acute Medicine Assessment Pathway
Using DES to Improve Flow through an Acute Medicine Assessment Pathway
Complete

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…

• Nottingham University Hospitals NHS Trust
• Sandwell and Birmingham NHS Trust
Discrete Event Simulation of Cognitive Behavioural Therapy Pathway in an IAPT Service
Discrete Event Simulation of Cognitive Behavioural Therapy Pathway in an IAPT Service
Complete

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…

• Dorset HealthCare
• NHS Dorset
Use Of Discrete Event Simulation (DES) to reduce delays in Cancer Diagnosis & Treatment
Use Of Discrete Event Simulation (DES) to reduce delays in Cancer Diagnosis & Treatment
Complete

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…

• Gloucestershire Hospitals Foundation Trust
• University Hospitals of Morecambe Bay NHS Trust
• Dartford and Gravesham NHS Trust
Discrete Event Simulation to Improve Flow and Performance in the Urgent Treatment Centre
Discrete Event Simulation to Improve Flow and Performance in the Urgent Treatment Centre
Complete

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…

• University College Hospital Trust
Forecasting Demand and Length of Stay in the Emergency Department
Forecasting Demand and Length of Stay in the Emergency Department
Complete

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…

• Sheffield Children’s Hospital
Meeting the demand of 111 for primary care services
Meeting the demand of 111 for primary care services
Complete

This was an attempt to model the impact of enforcing timely primary care interventions when 111 calls are undertaken.

• Yorkshire Ambulance Service NHS Trust
• Devon CCG
• University of Plymouth
Using Machine Learning to Predict Hospital Admissions and Length of Stay for Respiratory Conditions
Using Machine Learning to Predict Hospital Admissions and Length of Stay for Respiratory Conditions
Complete

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…

• NHS Midlands and Lancashire Commissioning Support Unit
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 role of Patient Initiated Follow-up (PIFU) and ‘Digital Outpatients’ in Supporting the Elective Recovery - Can We Better Size Potential for Clearing the Backlog?
Complete

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…

• NHS England and Improvement
Predicting Non-Elective Admissions
Predicting Non-Elective Admissions
Complete

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.…

• Royal Devon University Healthcare NHS Foundation Trust
• NHS North East London CSU
Predicting Violent Incidents on Mental Health Inpatient Units
Predicting Violent Incidents on Mental Health Inpatient Units
Complete

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…

• Birmingham & Solihull Mental Health NHS Foundation Trust
Reducing Travel Times to Treatment for Cardiac Patients in the South East of England
Reducing Travel Times to Treatment for Cardiac Patients in the South East of England
Complete

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…

• NHS England Specialised Commissioning – South East Region
• NHS England and Improvement
• The Strategy Unit
Developing a Service Planning Decision Support Tool to Tackle Inequalities and Minimise Carbon Output
Developing a Service Planning Decision Support Tool to Tackle Inequalities and Minimise Carbon Output
Complete

There are three current significant health agendas to which this project broadly relates.

• Derbyshire Community Health Services NHS
• Torbay Council
• West Sussex County Council
Spatial Modelling of Violent Crime to Support Strategic Analysis
Spatial Modelling of Violent Crime to Support Strategic Analysis
Complete

The aim of this project was to use various crime data variables and spatial analysis to turn them into useful insights for inclusion in assessed intelligence reporting.

• Counter Terrorism Policing
• Devon and Cornwall Police
• Devon County Council
No matching items

HSMA 3

What are they saying about us? An AI tool to determine the sentiment of tweets to police forces across the country, and what people are talking about
What are they saying about us? An AI tool to determine the sentiment of tweets to police forces across the country, and what people are talking about
Complete

This project used AI-based Natural Language Processing methods to develop a dashboard that predicts the sentiment (positive or negative) of every tweet to every police force…

• Avon and Somerset Constabulary
Generating a richer understanding of relationships in crime data in order to identify opportunities to safeguard individuals and families
Generating a richer understanding of relationships in crime data in order to identify opportunities to safeguard individuals and families
Complete

This project used Network Analysis methods to identify the social relationships between groups of people who could be causing significant issues within their communities…

• Devon and Cornwall Police
Modelling strategies to reduce the elective backlog in hip surgery
Modelling strategies to reduce the elective backlog in hip surgery
Complete

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…

• NHS Devon CCG
• Royal Devon and Exeter NHS Foundation Trust
Developing a generic vaccination service model for the COVID-19 pandemic and beyond
Developing a generic vaccination service model for the COVID-19 pandemic and beyond
Complete

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…

• Torridge Primary Care Network
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
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
Complete

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…

• Torridge Primary Care Network
• Peninsula Dental School
• Royal Devon and Exeter NHS Foundation
Simulation modelling to test proposed models of pediatric critical care in South West England
Simulation modelling to test proposed models of pediatric critical care in South West England
Complete

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…

• NHS England and Improvement
No matching items