Case studies

From Discovery Data Service
Jump to navigation Jump to search

Applications to access data in the DDS, are managed by the local teams under strict governance rules.


Project name Applicant Summary Data state
Cabergoline Barts Health NHS Trust The aim of this project is to determine whether there is a link between cabergoline at lower ‘endocrine doses’ (typically used in the treatment of hyperprolactinaemia) and the development of fibrotic heart disease. Patient identifiable
Childhood immunisations Barking and Dagenham, Havering & Redbridge (BHR) CCGs The childhood immunisations extract provides Barking and Dagenham, Havering & Redbridge (BHR) CCGs with child health data from GP systems. Patient identifiable and anonymised
Childhood immunisations and six week check North East London Child Health Information Service (CHIS) The daily extract (delta) provides an update on changes made to the defined criteria over the past 24 hours; so that the hub and GP systems are in sync. Patient identifiable
Diabetes retinopathy recall Barking and Dagenham, Havering & Redbridge (BHR) CCGs This project aims to identify sight-threatening diabetic eye disease at a treatable stage, to prevent blindness in people with diabetes. Patient identifiable
East London Genes and Health Newham, City and Hackney, Tower Hamlets and Waltham Forest CCGs The East London Genes and Health (ELG&H) study aims to improve the health of people of Pakistani and Bangladeshi heritage by analysing the genes and health of 100,000 local people. Patient identifiable
ELHCP Analytics Portal East London Health & Care Partnership Link with Discovery to combine data across the STP footprint to deliver a collaborative and fully informed approach to a holistic view of the citizen in the STP footprint, to enable predictive analytics to be more proactive in delivering healthcare and to provide a portal for informed and effective service redesign and planning. Pseudonymised
Health checks (BHR) Barking and Dagenham, Havering & Redbridge (BHR) CCGs The Barking and Dagenham, Havering & Redbridge CCG Health check project uses a DDS query to identify all individuals who are eligible for an NHS Health Check. Patient identifiable
LBH Adult Social Care linkage London Borough of Hackney Linking adult social care users to primary and secondary care data. Pseudonymised
Molecular Epidemiology Approach Towards Pancreatic Cancer (PaC) Barts Cancer Institute, Queen Mary University of London Molecular pathological epidemiology (MPE) has contributed to the better understanding of several neoplastic diseases . By connecting putative etiological factors to specific molecular signatures across tumour phenotypes, the MPE approach can yield more accurate risk measures regarding PaC. Towards this broad goal, a case-control study will be conducted first on patients with different types of pancreas cancer and pancreatico-biliary diseases to identify associations among potential risk factors and PaC diagnosis and prognosis. Anonymised
NE London Diabetes Eye Screening Data Access Homerton University Hospital NHS Foundation Trust To provide a monthly list of 'Everyone with Diabetes', the information will be used for direct patient care purpose to ensure all those who need it are screened, and those who have moved away or died are not invited for screening unnecessarily. Patient identifiable
NHS 111 Discovery frailty flagging Inner East London; City and Hackney, Tower Hamlets, Waltham Forset, and Newham CCGs "As a London Ambulance Service (LAS) clinician who provides expertise for NHS 111 in North East London (NEL), I want to obtain access to the local NEL information within the Discovery Dataset to determine whether the caller is potentially seriously frail." The Discovery Data Service helps to identify potentially frail patients using a frailty algorithm and the results are provided via the Get flag for patient API. Patient identifiable
Serious Mental Illness (SMI) East London Foundation Trust (ELFT) The SMI query reconciles ELFT secondary care mental health data with primary care SMI datasets. Pseudonymised
Whole Systems Data Project Tower Hamlets CCG The project provides an integrated health, social care and wider determinants of health dataset across Tower Hamlets that allows effective risk stratification and needs-based resource allocation for the local population based on evidence. Patient identifiable and anonymised
LBH Social Services Interventions London Borough of Hackney The aim of the project is to link primary care and secondary care data to adult social care records on an individual level to understand the prevalence of multimorbidity and healthcare usage among those people with short and long term social care packages in order to target potential interventions such as digital CBT promoted through social services. Pseudonymised
Whole Systems Integrated Care Data Warehouse (WSIC) North West London CCGs This project provides WISC with patient data, as bulk and delta data files, for all North West London GPs and community services. Patient identifiable

User testing

Project name Applicant Summary Data state
SidM Health Coplug Further development of SidM Health linked to ongoing work commissioned by City and Hackney with CCG.

Development of SidM Health in line with project scope for  Innovate UK bid Digital health technology catalyst round 4: collaborative R&D

Know Diabetes NWL Health & Care Partnership A preload to the KnowDiabetes CRM RDBMS with bulk diabetes related patient data from NWL GP Practices;

Diabetes related data is patient identifiable for the purposes of direct care, data to be processed, not shared, on behalf for GP Data Controllers.

Patient identifiable


Project name Applicant Summary Data state
Barts Pancreas Tissue Bank (BPTB) Barts Health NHS Trust The Barts Pancreas Tissue Bank (BPTB) is a unique and vital resource for researchers to provide a multitude of specimen types from pancreas disease and cancer patients as well as healthy controls. The samples are mainly collected from the Royal London Hospital and curated at Barts Cancer Institute. Patient identifiable
Genes and Health (Phase 2) Barking and Dagenham, Havering & Redbridge (BHR) CCGs The Genes and Health (Phase 2) study aims build on the phase 1 study to improve the health of people of Pakistani and Bangladeshi heritage by analysing the genes and health of 100,000 local people. Patient identifiable