Tackling health inequalities
Equal access to bowel cancer treatments in Yorkshire
Using patient data to identify and improve areas of poor practice
Comparing the uptake of emergency operations for heart attack across England
Using registry data to examine rates of emergency coronary intervention across England
Investigating trends in diabetes across ethnic groups
Understanding why diabetes rates vary between ethnic groups
Service planning and population health management
Reducing nationwide variation in stroke prevention and treatment
Comparing local performance on managing atrial fibrillation
Using data to plan services for people living with and beyond cancer
Using patient data to look at what happens to someone after receiving a cancer diagnosis
Individual care
Giving cancer patients the right level of treatment
Extending the UK flu vaccination programme to children
Using surveillance data to demonstrate the benefits of vaccinating children against flu
Improving management of chronic kidney disease
Monitoring blood test results alerts GPs if a person’s health is deteriorating
Discovering and improving treatments
Testing the effectiveness of a vaccine for mpox
Improving treatment of teenage anxiety and depression
Analysing trends in prescriptions to teenagers experiencing mental health problems
Monitoring joint replacement surgery
Analysing registry data to improve performance and safety
Supporting research into rare diseases
Using registry data to search for treatments for rare diseases
Patient safety
Demonstrating the safety of an anti-obesity medication
Using data to ensure the safety of medications
Assessing a new treatment for severe asthma
Evaluating the safety of a new treatment through real world clinical data
Disproving the link between the MMR vaccine and autism
Using data to conclusively disprove ideas that pose risks to public health
Health security
How is health data used in the current measles outbreak?
This case study explores how the UK Health Security Agency uses health data to track the spread of measles and supports the health service to respond
Preparedness to prevent future pandemics
Data surveillance to identify disease cases that pose a significant risk to public health
Finding treatments for Covid-19
Rapid trialing of existing and new drug therapies during the Covid-19 pandemic
Identifying Covid-19 as a public health risk through data analysis
Monitoring data to identify emerging risks, such as epidemics
Public engagement in data governance
Using data to identify and approach people for research: a public dialogue in Wales
Welsh Government commissioned the National Centre for Social Research (NATCEN) to conduct a deliberative public dialogue exercise to explore views on the use of health data for identifying and approaching individuals about research studies that may be relevant to them, without prior consent. The exercise involved 35 participants in Wales, engaging with researchers across 4 sessions (3 online, 1 in-person) including a full day deliberation session. The report of the exercise concluded that recruitment processes reliant on un-consented patient data to identify and approach people for research studies could be deemed to satisfy a broad constituency within the dialogue, provided conditions were met. These conditions were broadly grouped into categories including: effective oversight, focus on quality of research and equality of access to studies; demonstrating public benefit; effective public consultation on plans for such services; and transparency of processes and uses.
Public views about AI in healthcare
Involving the public in understanding the barriers and facilitators to implementing AI in healthcare
A mini citizens’ jury to debate data
Delivering a verdict on public perceptions of the use of data in healthcare
OneLondon Citizens’ Summit
Giving Londoners the opportunity to share their thoughts on the complex issues around health data
Artificial intelligence
Predicting A&E admissions to improve preparedness
Developing an AI tool to help NHS Trusts better predict demand for A&E so that it can be better prepared
Developing chatbots to address ethnic disparities in STIs
Designing and piloting an AI chatbot for supporting people with STIs/HIV from ethnic minority backgrounds
Identifying long stay patients in hospital using AI
Preventing people staying too long in hospital unnecessarily by modelling and calculating risk scores