Case studies: Difference between revisions

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


{| class="sortable" align="left" border="1" style="border-collapse:collapse; width: 95%"
==Live==
 
{| class="sortable" border="1" style="border-collapse:collapse"
|- style="background-color:#90A4AE; color: white"  
|- style="background-color:#90A4AE; color: white"  
!scope="col" width="10%" |Project name
!scope="col" width="20%" |Project name
!scope="col" width="10%" |Applicant
!scope="col" width="10%" |Applicant
!scope="col" width="60%" |Summary
!scope="col" width="60%" |Summary
!scope="col" width="10%" |Data state
!scope="col" width="10%" |Data state
!scope="col" width="10%" |Status
!Project type
|- valign="top"
|-
|'''Atrial Fibrillation Report'''
|'''[[Childhood immunisations]]'''
|Clinical Effectiveness Group (CEG)
|North East London Foundation Trust
|This is individual level depersonalised patient level data that will be aggregated into practice level data for an AF dashboard describing practice level performance repeated quarterly on an ongoing basis.
|The childhood immunisations extract provides the North East London CHIS with child health immunisation data from North East London GP practices to report on, and monitor, immunisation uptake.
|De-identified
(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).
|On hold
|Patient identifiable
|- valign="top"
|Sextant extract
|-
|'''Childhood immunisations - Polio'''
|North East London Foundation Trust
|The childhood immunisations extract provides the North East London CHIS with child health Polio immunisation data from North East London GP practices to report on, and monitor, immunisations against Polio due to increased Polio cases in North East London.
(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).
 
For more information see https://northeastlondon.icb.nhs.uk/news/polio-and-mmr-vaccinations-available-to-children-in-north-east-london/.
|Patient identifiable
|Sextant extract
|-
|'''Childhood immunisations - Covid19'''
|North East London Foundation Trust
|The childhood immunisations extract provides the North East London CHIS with child health Covid19 immunisation data from North East London GP practices to report on, and monitor, immunisations against Covid19 due to increased Covid19 cases in North East London.
(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).
 
|Patient identifiable
|Sextant extract
|-
|'''[[Diabetes retinopathy recall|Diabetic retinopathy recall]]'''
|Homerton University Hospital NHS Foundation Trust
|This project aims to identify sight-threatening diabetic eye disease at a treatable stage, to prevent blindness in people with diabetes.
(Barking & Dagenham, Havering, Redbridge, and Waltham Forest).
|Patient identifiable
|Sextant extract
|-
|'''[[Health checks (BHR)]]'''
|London Borough Councils
|The Barking and Dagenham, Havering, and Redbridge Health check project uses a Discovery Data Service query to identify all individuals who are eligible for an NHS Health Check.
(Barking and Dagenham, Havering, and Redbridge).
|Patient identifiable
|Sextant extract
|-
|'''[[NE London Diabetes Eye Screening Data Access|NE London Diabetes Eye Screening]]'''
|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.
(City & Hackney, Newham, Tower Hamlets, and Waltham Forest).
|Patient identifiable
|Sextant extract
|-
|'''[[NHS 111 Discovery frailty flagging]]'''
|North East London ICB
|"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 Data Service 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.
(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).
|Patient identifiable
|Subscriber API
|-
|'''Remote Monitoring Flag'''
|North West London ICB
|“As a patient on a London Covid pathway, I want clinicians involved in my care to be sighted on my status so that if I do need support when my Covid service is closed, 111 provides me with appropriate access to a clinician and continuity of care in a crisis.”
For those callers to 111 who are on a Covid pathway we want to identify this patient cohort as soon as possible following 'red flag' (life threatening) questions, and transfer to a clinician as a high priority (within 15 mins). This ensures the most appropriate outcome/priority (speed of response) for these patients. By having this as a flag on the patient record, we will streamline the 111 call response.
|Patient identifiable
|Subscriber API
|-
|'''[[Know Diabetes]]'''
|NWL Health & Care Partnership
|A Sextant remote database for the KnowDiabetes 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
|Sextant database
|-
|'''[[Barts Pancreas Tissue Bank (BPTB)]]'''
|'''[[Barts Pancreas Tissue Bank (BPTB)]]'''
|Barts Health NHS Trust
|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.
|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.
(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).
|Patient identifiable
|Sextant extract
|-
|'''East London [[Genes and Health (Phase 2)|Genes and Health (Phase 3)]]'''
|North East London ICB
|The Genes and Health (Phase 3) study aims build on the [[East London Genes and Health|phase 1 study]] and [[Genes and Health (Phase 2)|phase 2]] study to improve the health of people of Pakistani and Bangladeshi heritage by analysing the genes and health of 100,000 local people.
(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).
|Patient identifiable
|Patient identifiable
|Live
|Sextant extract
|- valign="top"
|-
|'''Cabergoline'''
|'''[[Ethnicity and Language - Barts]]'''
|Barts Health NHS Trust
|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.
|The Ethnicity and Language extract provides patient level data from GP records where this information is not available in the Barts Health NHS Trust system for their active patients.
(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).
|Patient identifiable
|Patient identifiable
|Live
|Sextant extract
|-
|-
|'''Cancer Research UK (CRUK) lung cancer pathways'''
|'''[[Ethnicity and Language - Homerton]]'''
|Barts Health NHS Trust/QMUL
|Homerton University Hospital NHS Foundation Trust
|Identifying actionable events in the natural history of lung cancer prior to diagnosis in primary care and implementing them in a learning health system in NE London.
|The Ethnicity and Language extract provides patient level data from GP records where this information is not available in the Homerton Healthcare NHS Foundation Trust system for their active patients.  
|Pseudonymised
(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest). 
|In progress
|-
|'''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
|Live
|-
|'''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
|Patient identifiable
|Live
|Sextant extract
|-
|-
|'''COPLUG'''
|'''[[Barts Vaccine Safety]]'''
|COPLUG
|Barts Health NHS Trust
|The key aim of the bid project is to provide an innovative scalable spatial analytics platform to:
|This project, using an alerting tool and algorithm, tracked the clinical events of citizens vaccinated against COVID19 who then subsequently attended any of the three emergency departments operated at Barts Health NHS Trust between 01/12/2020 and 01/06/2021. The specific focus of the data query is to investigate coagulopathies presenting via the emergency department.
 
(North East London ICB; Tower Hamlets, Newham, Waltham Forest, City & Hackney boroughs).
* link housing data and population growth to predict spatial demand on primary care services.
|Pseudonymised NHS Numbers
* link patient level clinical data to provide a granular understanding of distribution of demand based on activity, age profile, deprivation, clinical conditions and such other factors.
|Subscriber API
* link demand and distribution to housing, S106 and CIL contributions to predict developer's contribution towards Health Needs.
|Pseudonymised
|Development
|-
|-
|'''Dementia and neurodegerative diseases'''
|'''Oxford Covid Study'''
|Barts Health NHS Trust/QMUL
|Nuffield Department of Primary Care Health Sciences, Oxford University
|This is an observational cross sectional cohort study to identify risk factors for neurodegenerative disorders including dementia, Parkinsons, multiple sclerosis, motor neurone disease and other neorological disorders in order that the factors leading to thses diseases may be better understood. There will be an agreed start and finish date for this programme dependent upon agreed funding.
|The objectives of this project are to rapidly establish the uptake of new COVID-19 vaccinations and to evaluate the comparative safety profile of the new COVID-19 vaccines in the general population by vaccine type and within disease subgroups. A pre-defined subset of data from GP and secondary care publishers is provided to the MARS@Oxford database – Medical Analysis Research System at Oxford University.
|De-identified
|Pseudonymised
|On hold
|Sextant database
|-
|-
|'''Diabetes retinopathy recall'''
|'''North West London to OneLondon Cerner HIE (London Care Record)'''
|Barking and Dagenham, Havering & Redbridge (BHR) CCGs
|North West London ICB
|This project aims to identify sight-threatening diabetic eye disease at a treatable stage, to prevent blindness in people with diabetes.
|The OneLondon Care Record is a digital system that gives you an instant view of a person’s health and care information when you need it at the point of care. It is an up-to-date record of their information over time and across different parts of the NHS and social care in London and some neighbouring areas.
A central OneLondon Health Information Exchange is connected to a series of local Health Information Exchanges (HIEs) enabling data to be shared and accessed by health and care professionals across London.
|Patient identifiable
|Patient identifiable
|Live
|Subscriber API
|-
|-
|'''East London Genes and Health'''
|'''Clinical Effectiveness Group (CEG) GP Compass'''
|Newham, City and Hackney, Tower Hamlets and Waltham Forest CCGs
|Queen Mary University of London
|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.
North East London ICB
|A locally hosted database of Discovery Data Service standardised patient data from publishing GP practices in City & Hackney, Newham, Tower Hamlets, Waltham Forest, Barking & Dagenham, Havering, and Redbridge. For more information see [[Current published data#North East London|Current published data]].
|Patient identifiable
|Patient identifiable
|Live
|Remote subscriber database
|-
|-
|'''ELFT Psychology GP consultations'''
|'''North East London GP Compass'''
|East London Foundation Trust (ELFT) & Clinical Effectiveness Group
|North East London ICB
|Request to analyse / evidence the impact of psychology interventions on numbers of GP attendances.
|A locally hosted database of Discovery Data Service standardised patient data from publishing GP practices in City & Hackney, Newham, Tower Hamlets, Waltham Forest, Barking & Dagenham, Havering, and Redbridge. For more information see [[Current published data#North East London|Current published data]].
|
|Pseudonymised
|On hold
|Remote subscriber database
|-
|-
|'''ELHCP Analytics Portal'''
|'''South East London GP Compass'''
|East London Health & Care Partnership
|South East London ICB
|Link with the 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.
|A locally hosted database of Discovery Data Service standardised patient data from publishing GP practices in Bexley, Bromley, Greenwich, Lambeth, Lewisham, and Southwark. For more information see [[Current published data#SEL|Current published data]].
|Anonymised
|Pseudonymised
|Live
|Remote subscriber database
|-
|-
|'''Enhancing care for frail patients in East London'''
|'''UPRN'''
|Barts Health NHS Trust
|North West London ICB
|This project is designed to bring together various strands of hospital and community frailty assessments and services and where possible combine clinical pathways to ensure best practice delivery of services with the most efficient use of resources.
North East London ICB
|Patient identifiable<br />
 
|Development
South East London ICB
|The algorithm, known as ASSIGN (AddreSS MatchInG to Unique Property Reference Numbers), allocates a Unique Property Reference Number (UPRN) to patient records. Every property in the UK already has a UPRN, which is allocated by local authorities and made nationally available by Ordnance Survey. This gives every address a standardised format that enables pseudonymised linkage to other sources of data. As addresses are typically entered into patient records as free text, ASSIGN compares addresses in the NHS record with Ordnance Survey's 'Address Base Premium' UPRN database, one element at a time, and decides whether there is a match. The algorithm, developed by Clinical Effectiveness Group (CEG) in partnership with David Stables of [https://www.endeavourhealth.org/ Endeavour Health], mirrors human pattern recognition, so it allows for certain character swaps, spelling mistakes and abbreviations. It also includes patients’ past addresses, making it possible to study changes of address across the life span.
|Patient identifiable and
Pseudonymised
|Subscriber API
|-
|-
|'''[[Health checks (BHR)]]'''
|[[Whole Systems Integrated Care Data Warehouse (WSIC)|'''Whole Systems Integrated Care Data Warehouse (WSIC)''']]
|Barking and Dagenham, Havering & Redbridge (BHR) CCGs
|North West London ICB
|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.
|This project provides WSIC with Discovery Data Service standardised patient data, as bulk and delta data files, for all North West London primary care GP, community care services, and secondary care services publishing data to the DDS. For more information see [[Current published data#North West London|Current published data]].
|Patient identifiable
|Patient identifiable
|Live
|Remote subscriber database
|-
|-
|'''LBH Adult Social Care linkage'''
|'''Breast Cancer Now Tissue Bank'''
|London Borough of Hackney
|Barts Health NHS Trust
|Linking adult social care users to primary and secondary care data.
|The Breast Cancer Now Tissue Bank (BCNTB) is the UK’s largest unique collection of high-quality breast tissue, cells, and blood samples from breast cancer patients as well as healthy controls. The samples are collected, processed, and stored by four centres led by the Barts Cancer Institute (BCI). In addition to samples and anonymised data linked to each sample, they provide researchers with open access to a wealth of data for breast cancer research through their bioinformatics portal. The extensive primary and secondary care data provided by the Discovery Data Service for North East London will help build a world-class repository of biosamples with comprehensive clinical annotations, allowing researchers to design innovative studies and gain new insights into breast cancer.
|Pseudonymised
(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).
|Live
|Patient identifiable
|Sextant extract
|-
|-
|'''Molecular Epidemiology Approach Towards Pancreatic Cancer (PaC)'''
|[[Targeted Prostate Cancer Healthcheck|'''Targeted Prostate Cancer Healthcheck''']]
|Barts Cancer Institute, Queen Mary University of London
|North East London Cancer Alliance
|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.
|The Targeted Prostate Health Check (TPHC) project supports NHS England’s post-pandemic cancer recovery objectives and also the Long Term Plan cancer ambition to diagnose 75% of all cancers at an earlier stage, by 2028.
|Anonymised
(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).
|Live
|Patient identifiable
|Sextant extract
|-
|-
|'''NE London Diabetes Eye Screening Data Access'''
|'''BHRUT to One London Cerner HIE (London Care Record)'''
|Homerton University Hospital NHS Foundation Trust
|Barking, Havering, and Redbridge University Hospitals NHS 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.
|The OneLondon Care Record is a digital system that gives you an instant view of a person’s health and care information when you need it at the point of care. It is an up-to-date record of their information over time and across different parts of the NHS and social care in London and some neighbouring areas.
A central OneLondon Health Information Exchange is connected to a series of local Health Information Exchanges (HIEs) enabling data to be shared and accessed by health and care professionals across London.
|Patient identifiable
|Patient identifiable
|Live
|Subscriber API
|}
 
==Development==
 
{| class="sortable" border="1" style="border-collapse:collapse"
|- style="background-color:#90A4AE; color: white"
! scope="col" width="20%" |Project name
! scope="col" width="10%" |Applicant
! scope="col" width="60%" |Summary
! scope="col" width="10%" |Data state
!Project type
|-
|-
|'''NHS 111 Discovery frailty flagging'''
|'''NEMS PDS Birth Notification and PDS Death Notification'''
|Inner East London; City and Hackney, Tower Hamlets, Waltham Forset, and Newham CCGs
|Clinical Effectiveness Group, Queen Mary University of London
|"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.
|The aim of this project is to ingest PDS birth notifications and PDS death notifications from the NHS National Event Management System (NEMS) for patients registered at a GP practice under North East London ICB. This data will be key to review of clinical pathways and will help shape the health and care provided to the 2.3 million residents of the NEL ICB. This data will also be used in population health dashboards to help structure future care aimed at patients with gestational diabetes.
(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).
|Patient identifiable
|Patient identifiable
|Live
|NHS Spine publisher
|-
|-
|'''North West London – Diabetes'''
|'''Know Diabetes - Long Term Conditions'''
|NWL Health & Care Partnership
|NWL Health & Care Partnership
|To preload the KnowDiabetes CRM RDBMS with bulk diabetes related patient data from NWL GP Practices.
|This project is an extension to the Sextant remote database for the [[Know Diabetes|KnowDiabetes]] relational database management system (RDBMS) extending beyond diabetes data to provide data for various cardiovascular conditions from NWL publishing GP Practices.
This data is patient identifiable for the purposes of direct care, data to be processed, not shared, on behalf of GP Data Controllers as per authorised information governance controls.
|Patient identifiable
|Sextant database
|-
|'''North East London Diabetes Eye Screening V2'''
|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.
(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).
|Patient identifiable
|Patient identifiable
|Development
|Sextant extract
|-
|-
|'''Optimising shared decision making in high-risk surgical patients (OSIRIS)'''
|'''Health Checks - Redbridge 13 GP practice pilot (POCT)'''
|London Borough of Redbridge
|Redbridge Health Check project uses a DDS query to identify individuals aged 18 to 39 years who have been invited for, or have undergone, an NHS Health Check as part of a new NHS pilot across 13 GP practices within six PCNs.
|Patient identifiable
|Sextant extract
|}
 
==Inactive==
 
{| class="sortable" border="1" style="border-collapse:collapse"
|- style="background-color:#90A4AE; color: white"
! scope="col" width="20%" |Project name
! scope="col" width="10%" |Applicant
! scope="col" width="60%" |Summary
! scope="col" width="10%" |Data state
!Project type
|- valign="top"
|'''[[Cabergoline]]'''
|Barts Health NHS Trust
|Barts Health NHS Trust
|This project is an NIHR funded programme of work that will develop a shared decision making tool for patients considering high-risk operations.
|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.
|Pseudonymised
|Patient identifiable
|Development
|Sextant extract
|-
|-
|'''Preventing mother-to-child transmission (MTCT) of hepatitis B virus (HBV) by immunisation'''
|'''[[Childhood immunisations and six week check]]'''
|Clinical Effectiveness Group (CEG)
|North East London Child Health Information Service (CHIS)
|We propose a proof-of-concept study to link HBV-infection status in mothers delivering in Barts Health Trust maternity units to their offspring infant immunisation records held in GP systems.
|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
|Patient identifiable
|In progress
|Sextant extract
|-
|'''[[ELHCP Analytics Portal]]'''
|East London Health & Care Partnership
|Link with THE Discovery Data Service 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
|Remote subscriber database
|-
|-
|'''REAL - Child Health'''
|'''[[LBH Adult Social Care linkage]]'''
|QMUL
|London Borough of Hackney
|To understand and improve the health outcomes of childhood obesity, which affects one in ten children starting primary school in east London, and of rare childhood diseases, which affect one in seven children over their lifetime.
|Linking adult social care users to primary and secondary care data.
|Pseudonymised
|Pseudonymised
|In progress
|Sextant extract
|-
|-
|'''Reducing bleeding risk from anticoagulants and antiplatelet medicines'''
|'''[[Molecular Epidemiology Approach Towards Pancreatic Cancer (PaC)]]'''
|Barts Health NHS Trust
|Barts Cancer Institute, Queen Mary University of London
|This data is intended to be extracted in near real time to provide a 'common virtual review' accessible to both GPs and hospital clinicians of factors likely to be relevant to bleeding risk and its reduction in people who take common antithrombotic medicines.
|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.
|De-identified
|Anonymised
|In progress
|Sextant extract
|-
|-
|'''[[Serious Mental Illness (SMI)]]'''
|'''[[Serious Mental Illness (SMI)]]'''
Line 155: Line 266:
|The SMI query reconciles ELFT secondary care mental health data with primary care SMI datasets.
|The SMI query reconciles ELFT secondary care mental health data with primary care SMI datasets.
|Pseudonymised
|Pseudonymised
|Live
|Sextant extract
|-
|-
|'''Valproate safety in pregnancy'''
|'''[[Whole Systems Data Project]]'''
|QMUL
|This data is intended to be extracted in near real time to provide a 'common virtual review' of a "Valporate pregnancy prevention plan" accessible to both GPs and hospital clinicians summarising factors likely to be relevant to avoidance of valproate exposure in pregnancy.
|De-identified
|In progress
|-
|'''Whole Systems Data Project'''
|Tower Hamlets CCG
|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.
|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
|Patient identifiable and anonymised
|Live
|Remote subscriber database
|-
|'''[[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
|Sextant extract
|-
|-
|''Genes and Health (Phase 2)''
|'''[[SidM Health]]'''
|''Barking and Dagenham, Havering & Redbridge (BHR) CCGs''
|Coplug
|''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.''
|Further development of SidM Health linked to ongoing work commissioned by City and Hackney with CCG.
|''Patient identifiable''
Development of SidM Health in line with project scope for  Innovate UK bid Digital health technology catalyst round 4: collaborative R&D
|''Live''
|Pseudonymised
|Sextant extract
|-
|-
|''Predicting Vascular Complications In Diabetes''
|'''East London [[Genes and Health (Phase 2)]]'''
|''Barts Health NHS Trust''
|North East London ICB
|''Using Barts EHR for development of predictive algorithms and ultimately for decision support, care planning and quality improvement for patients at risk of diabetic foot. For this we need to link Barts Health patients to GP death data via their NHS Number.''
|The Genes and Health (Phase 2) study aims build on the [[East London Genes and Health|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.
|
(Barking & Dagenham, Havering, Redbridge).
|''In progress''
|Patient identifiable
|Sextant extract
|-
|-
|NHS Digital - Healthy and Child Programme
|'''[[East London Genes and Health]] (phase 1)'''
|
|North East London ICB
|
|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.
|
(City Hackney, Newham, Tower Hamlets, and Waltham Forest).
|''In progress''
|Patient identifiable
|Sextant extract
|}
|}

Latest revision as of 12:12, 24 November 2023


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

Live

Project name Applicant Summary Data state Project type
Childhood immunisations North East London Foundation Trust The childhood immunisations extract provides the North East London CHIS with child health immunisation data from North East London GP practices to report on, and monitor, immunisation uptake.

(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).

Patient identifiable Sextant extract
Childhood immunisations - Polio North East London Foundation Trust The childhood immunisations extract provides the North East London CHIS with child health Polio immunisation data from North East London GP practices to report on, and monitor, immunisations against Polio due to increased Polio cases in North East London.

(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).

For more information see https://northeastlondon.icb.nhs.uk/news/polio-and-mmr-vaccinations-available-to-children-in-north-east-london/.

Patient identifiable Sextant extract
Childhood immunisations - Covid19 North East London Foundation Trust The childhood immunisations extract provides the North East London CHIS with child health Covid19 immunisation data from North East London GP practices to report on, and monitor, immunisations against Covid19 due to increased Covid19 cases in North East London.

(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).

Patient identifiable Sextant extract
Diabetic retinopathy recall Homerton University Hospital NHS Foundation Trust This project aims to identify sight-threatening diabetic eye disease at a treatable stage, to prevent blindness in people with diabetes.

(Barking & Dagenham, Havering, Redbridge, and Waltham Forest).

Patient identifiable Sextant extract
Health checks (BHR) London Borough Councils The Barking and Dagenham, Havering, and Redbridge Health check project uses a Discovery Data Service query to identify all individuals who are eligible for an NHS Health Check.

(Barking and Dagenham, Havering, and Redbridge).

Patient identifiable Sextant extract
NE London Diabetes Eye Screening 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.

(City & Hackney, Newham, Tower Hamlets, and Waltham Forest).

Patient identifiable Sextant extract
NHS 111 Discovery frailty flagging North East London ICB "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 Data Service 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.

(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).

Patient identifiable Subscriber API
Remote Monitoring Flag North West London ICB “As a patient on a London Covid pathway, I want clinicians involved in my care to be sighted on my status so that if I do need support when my Covid service is closed, 111 provides me with appropriate access to a clinician and continuity of care in a crisis.”

For those callers to 111 who are on a Covid pathway we want to identify this patient cohort as soon as possible following 'red flag' (life threatening) questions, and transfer to a clinician as a high priority (within 15 mins). This ensures the most appropriate outcome/priority (speed of response) for these patients. By having this as a flag on the patient record, we will streamline the 111 call response.

Patient identifiable Subscriber API
Know Diabetes NWL Health & Care Partnership A Sextant remote database for the KnowDiabetes 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 Sextant database
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.

(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).

Patient identifiable Sextant extract
East London Genes and Health (Phase 3) North East London ICB The Genes and Health (Phase 3) study aims build on the phase 1 study and phase 2 study to improve the health of people of Pakistani and Bangladeshi heritage by analysing the genes and health of 100,000 local people.

(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).

Patient identifiable Sextant extract
Ethnicity and Language - Barts Barts Health NHS Trust The Ethnicity and Language extract provides patient level data from GP records where this information is not available in the Barts Health NHS Trust system for their active patients.

(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).

Patient identifiable Sextant extract
Ethnicity and Language - Homerton Homerton University Hospital NHS Foundation Trust The Ethnicity and Language extract provides patient level data from GP records where this information is not available in the Homerton Healthcare NHS Foundation Trust system for their active patients.

(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest). 

Patient identifiable Sextant extract
Barts Vaccine Safety Barts Health NHS Trust This project, using an alerting tool and algorithm, tracked the clinical events of citizens vaccinated against COVID19 who then subsequently attended any of the three emergency departments operated at Barts Health NHS Trust between 01/12/2020 and 01/06/2021. The specific focus of the data query is to investigate coagulopathies presenting via the emergency department.

(North East London ICB; Tower Hamlets, Newham, Waltham Forest, City & Hackney boroughs).

Pseudonymised NHS Numbers Subscriber API
Oxford Covid Study Nuffield Department of Primary Care Health Sciences, Oxford University The objectives of this project are to rapidly establish the uptake of new COVID-19 vaccinations and to evaluate the comparative safety profile of the new COVID-19 vaccines in the general population by vaccine type and within disease subgroups. A pre-defined subset of data from GP and secondary care publishers is provided to the MARS@Oxford database – Medical Analysis Research System at Oxford University. Pseudonymised Sextant database
North West London to OneLondon Cerner HIE (London Care Record) North West London ICB The OneLondon Care Record is a digital system that gives you an instant view of a person’s health and care information when you need it at the point of care. It is an up-to-date record of their information over time and across different parts of the NHS and social care in London and some neighbouring areas.

A central OneLondon Health Information Exchange is connected to a series of local Health Information Exchanges (HIEs) enabling data to be shared and accessed by health and care professionals across London.

Patient identifiable Subscriber API
Clinical Effectiveness Group (CEG) GP Compass Queen Mary University of London

North East London ICB

A locally hosted database of Discovery Data Service standardised patient data from publishing GP practices in City & Hackney, Newham, Tower Hamlets, Waltham Forest, Barking & Dagenham, Havering, and Redbridge. For more information see Current published data. Patient identifiable Remote subscriber database
North East London GP Compass North East London ICB A locally hosted database of Discovery Data Service standardised patient data from publishing GP practices in City & Hackney, Newham, Tower Hamlets, Waltham Forest, Barking & Dagenham, Havering, and Redbridge. For more information see Current published data. Pseudonymised Remote subscriber database
South East London GP Compass South East London ICB A locally hosted database of Discovery Data Service standardised patient data from publishing GP practices in Bexley, Bromley, Greenwich, Lambeth, Lewisham, and Southwark. For more information see Current published data. Pseudonymised Remote subscriber database
UPRN North West London ICB

North East London ICB

South East London ICB

The algorithm, known as ASSIGN (AddreSS MatchInG to Unique Property Reference Numbers), allocates a Unique Property Reference Number (UPRN) to patient records. Every property in the UK already has a UPRN, which is allocated by local authorities and made nationally available by Ordnance Survey. This gives every address a standardised format that enables pseudonymised linkage to other sources of data. As addresses are typically entered into patient records as free text, ASSIGN compares addresses in the NHS record with Ordnance Survey's 'Address Base Premium' UPRN database, one element at a time, and decides whether there is a match. The algorithm, developed by Clinical Effectiveness Group (CEG) in partnership with David Stables of Endeavour Health, mirrors human pattern recognition, so it allows for certain character swaps, spelling mistakes and abbreviations. It also includes patients’ past addresses, making it possible to study changes of address across the life span. Patient identifiable and

Pseudonymised

Subscriber API
Whole Systems Integrated Care Data Warehouse (WSIC) North West London ICB This project provides WSIC with Discovery Data Service standardised patient data, as bulk and delta data files, for all North West London primary care GP, community care services, and secondary care services publishing data to the DDS. For more information see Current published data. Patient identifiable Remote subscriber database
Breast Cancer Now Tissue Bank Barts Health NHS Trust The Breast Cancer Now Tissue Bank (BCNTB) is the UK’s largest unique collection of high-quality breast tissue, cells, and blood samples from breast cancer patients as well as healthy controls. The samples are collected, processed, and stored by four centres led by the Barts Cancer Institute (BCI). In addition to samples and anonymised data linked to each sample, they provide researchers with open access to a wealth of data for breast cancer research through their bioinformatics portal. The extensive primary and secondary care data provided by the Discovery Data Service for North East London will help build a world-class repository of biosamples with comprehensive clinical annotations, allowing researchers to design innovative studies and gain new insights into breast cancer.

(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).

Patient identifiable Sextant extract
Targeted Prostate Cancer Healthcheck North East London Cancer Alliance The Targeted Prostate Health Check (TPHC) project supports NHS England’s post-pandemic cancer recovery objectives and also the Long Term Plan cancer ambition to diagnose 75% of all cancers at an earlier stage, by 2028.

(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).

Patient identifiable Sextant extract
BHRUT to One London Cerner HIE (London Care Record) Barking, Havering, and Redbridge University Hospitals NHS Trust The OneLondon Care Record is a digital system that gives you an instant view of a person’s health and care information when you need it at the point of care. It is an up-to-date record of their information over time and across different parts of the NHS and social care in London and some neighbouring areas.

A central OneLondon Health Information Exchange is connected to a series of local Health Information Exchanges (HIEs) enabling data to be shared and accessed by health and care professionals across London.

Patient identifiable Subscriber API

Development

Project name Applicant Summary Data state Project type
NEMS PDS Birth Notification and PDS Death Notification Clinical Effectiveness Group, Queen Mary University of London The aim of this project is to ingest PDS birth notifications and PDS death notifications from the NHS National Event Management System (NEMS) for patients registered at a GP practice under North East London ICB. This data will be key to review of clinical pathways and will help shape the health and care provided to the 2.3 million residents of the NEL ICB. This data will also be used in population health dashboards to help structure future care aimed at patients with gestational diabetes.

(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).

Patient identifiable NHS Spine publisher
Know Diabetes - Long Term Conditions NWL Health & Care Partnership This project is an extension to the Sextant remote database for the KnowDiabetes relational database management system (RDBMS) extending beyond diabetes data to provide data for various cardiovascular conditions from NWL publishing GP Practices.

This data is patient identifiable for the purposes of direct care, data to be processed, not shared, on behalf of GP Data Controllers as per authorised information governance controls.

Patient identifiable Sextant database
North East London Diabetes Eye Screening V2 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.

(Barking & Dagenham, Havering, Redbridge, City & Hackney, Newham, Tower Hamlets, and Waltham Forest).

Patient identifiable Sextant extract
Health Checks - Redbridge 13 GP practice pilot (POCT) London Borough of Redbridge Redbridge Health Check project uses a DDS query to identify individuals aged 18 to 39 years who have been invited for, or have undergone, an NHS Health Check as part of a new NHS pilot across 13 GP practices within six PCNs. Patient identifiable Sextant extract

Inactive

Project name Applicant Summary Data state Project type
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 Sextant extract
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 Sextant extract
ELHCP Analytics Portal East London Health & Care Partnership Link with THE Discovery Data Service 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 Remote subscriber database
LBH Adult Social Care linkage London Borough of Hackney Linking adult social care users to primary and secondary care data. Pseudonymised Sextant extract
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 Sextant extract
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 Sextant extract
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 Remote subscriber database
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 Sextant extract
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

Pseudonymised Sextant extract
East London Genes and Health (Phase 2) North East London ICB 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.

(Barking & Dagenham, Havering, Redbridge).

Patient identifiable Sextant extract
East London Genes and Health (phase 1) North East London ICB 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.

(City Hackney, Newham, Tower Hamlets, and Waltham Forest).

Patient identifiable Sextant extract