Research
![A red ribbon with binary numbers in the shape of a heart - black lettering says BigData@Heart](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/big_data_heart_1.jpg)
BigData@Heart
Improving patient outcomes and reducing societal burden of heart diseases via data-driven translational research.
![Blue circle with the letters NIHR written in it on a white background.](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/nihr.jpg)
Clinical Research Informatics Unit
UCLH/UCL CRIU works to develop a robust environment and infrastructure for clinical data analysis.
![DISC Logo](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/disc.png)
DISC Study
The DISC Study is looking at inequalities in the use of digital health interventions for cardiovascular disease and diabetes.
![Half circos image for thumbnail](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/half_circos.jpg)
Disease Atlas
Systematic knowledge discovery for all diseases - for clinicians and patients. Underpinned by the needs of patients, clinicians and researchers, the Disease Atlas is an ambitious project involving the generation of a systematic, data-driven knowledge across all common and rare diseases.
![Pomegranate](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/pomegranate.jpg)
GSK-UCL Phenomics
Defining human diseases using rich phenotyping information from multiple sources can lead to a better understanding of the mechanisms of disease and lead to development of novel, more effective, therapeutic agents.
![hdr uk in written in green and blue health data research uk in black below](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/hdr_uk_800_500.jpg)
Health Data Research UK
Bringing together institutes, partnerships, data and expertise to make large scale improvements to people's lives.
![6 blue dots are connected by blue lines showing they are points on a graph - a magnifying glass zooms over one point](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/data_logo_higods.jpg)
HIGODS
Healthcare Informatics, Genomics/Omics, Data Science (HIGODS) studies and delivers patient-centred analytics.
![Home App](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/home.png)
HOME App Study
The HOME App Study aims to examine the health and wellbeing of migrants in the UK and explore the socio-environmental determinants of their health and wellbeing.
![Homeless Hospital Discharge](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/homeless.png)
Homeless Hospital Discharge
Homeless Hospital Discharge Schemes that has brought together data on over 100,000 homeless people from across England to understand their health outcomes after discharge from hospital.
![miade-logo](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/miade-logo-web-transparent.png)
MiADE
Medical Information AI Data Extractor (MiADE) aims to improve EHR usability to capture better data in clinical care.
![NATSAL-4](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/natsal_2.png)
NATSAL-4
The National Survey of Sexual Attitudes and Lifestyles begins its fourth study on sexual health and well-being in Britain, led by UCL with researchers from the London School of Hygiene & Tropical Medicine, the University of Glasgow and NatCen Social Research.
![right to care image](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/resized-image-promo.jpeg)
Right to Care
Improving national access to primary care through GP registration and service interventions for inclusion health groups.
![STIMULATE Logo](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/stimulate_1.png)
STIMULATE-ICP
STIMULATE-ICP conducts the largest trial for Long Covid to date, aiming to improve diagnosis, treatment and rehabilitation.
![A computer screen shows clinical codes and other medical data matched to clinical notes about covid.](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/ucl_thin_covi.jpg)
UCL-THIN Long Covid Study
Using GP patient records to improve our understanding of Long Covid for earlier diagnoses and better care.
![Virus Watch](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/viruswatch.png)
Virus Watch
Understanding community incidence, symptom profiles, and transmission of COVID-19 in relation to population movement and behaviour.
![Vivaldi Logo](https://www.ucl.ac.uk/health-informatics/sites/health_informatics/files/vivaldi.png)
VIVALDI
A national study which explores COVID-19 infections in care homes, led by IHI's Professor Laura Shallcross, MBE.