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
|- valign="top"
|'''Atrial Fibrillation Report'''
|Clinical Effectiveness Group (CEG)
|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.
|De-identified
|On hold
|- valign="top"
|'''[[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
|Live
|- valign="top"
|- valign="top"
|'''Cabergoline'''
|'''[[Cabergoline]]'''
|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 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
|Patient identifiable
|Live
|-
|'''Cancer Research UK (CRUK) lung cancer pathways'''
|Barts Health NHS Trust/QMUL
|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.
|Pseudonymised
|In progress
|-
|-
|'''[[Childhood immunisations]]'''
|'''[[Childhood immunisations]]'''
Line 37: Line 21:
|The childhood immunisations extract provides Barking and Dagenham, Havering & Redbridge (BHR) CCGs with child health data from GP systems.
|The childhood immunisations extract provides Barking and Dagenham, Havering & Redbridge (BHR) CCGs with child health data from GP systems.
|Patient identifiable and anonymised
|Patient identifiable and anonymised
|Live
|-
|-
|'''[[Childhood immunisations and six week check]]'''
|'''[[Childhood immunisations and six week check]]'''
Line 43: Line 26:
|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.
|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
|-
|'''COPLUG'''
|COPLUG
|The key aim of the bid project is to provide an innovative scalable spatial analytics platform to:
* link housing data and population growth to predict spatial demand on primary care services.
* 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.
* link demand and distribution to housing, S106 and CIL contributions to predict developer's contribution towards Health Needs.
|Pseudonymised
|Development
|-
|'''Dementia and neurodegerative diseases'''
|Barts Health NHS Trust/QMUL
|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.
|De-identified
|On hold
|-
|-
|'''[[Diabetes retinopathy recall]]'''
|'''[[Diabetes retinopathy recall]]'''
Line 65: Line 31:
|This project aims to identify sight-threatening diabetic eye disease at a treatable stage, to prevent blindness in people with diabetes.
|This project aims to identify sight-threatening diabetic eye disease at a treatable stage, to prevent blindness in people with diabetes.
|Patient identifiable
|Patient identifiable
|Live
|-
|-
|'''[[East London Genes and Health]]'''
|'''[[East London Genes and Health]]'''
Line 71: Line 36:
|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.
|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
|Patient identifiable
|Live
|-
|'''ELFT Psychology GP consultations'''
|East London Foundation Trust (ELFT) & Clinical Effectiveness Group
|Request to analyse / evidence the impact of psychology interventions on numbers of GP attendances.
|
|On hold
|-
|-
|'''ELHCP Analytics Portal'''
|'''[[ELHCP Analytics Portal]]'''
|East London Health & Care Partnership
|East London Health & Care Partnership
|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.
|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.
|Anonymised
|Pseudonymised
|Live
|-
|'''Enhancing care for frail patients in East London'''
|Barts Health NHS Trust
|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.
|Patient identifiable<br />
|Development
|-
|-
|'''[[Health checks (BHR)]]'''
|'''[[Health checks (BHR)]]'''
Line 95: Line 46:
|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.
|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
|Patient identifiable
|Live
|-
|-
|'''LBH Adult Social Care linkage'''
|'''[[LBH Adult Social Care linkage]]'''
|London Borough of Hackney
|London Borough of Hackney
|Linking adult social care users to primary and secondary care data.
|Linking adult social care users to primary and secondary care data.
|Pseudonymised
|Pseudonymised
|Live
|-
|-
|'''Molecular Epidemiology Approach Towards Pancreatic Cancer (PaC)'''
|'''[[Molecular Epidemiology Approach Towards Pancreatic Cancer (PaC)]]'''
|Barts Cancer Institute, Queen Mary University of London
|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.
|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
|Anonymised
|Live
|-
|-
|'''NE London Diabetes Eye Screening Data Access'''
|'''[[NE London Diabetes Eye Screening Data Access]]'''
|Homerton University Hospital NHS Foundation Trust
|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.
|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
|Patient identifiable
|Live
|-
|-
|'''[[NHS 111 Discovery frailty flagging]]'''
|'''[[NHS 111 Discovery frailty flagging]]'''
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|"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.
|"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
|Patient identifiable
|Live
|-
|'''North West London – Diabetes'''
|NWL Health & Care Partnership
|To preload the KnowDiabetes CRM RDBMS with bulk diabetes related patient data from NWL GP Practices.
|Patient identifiable
|Development
|-
|'''Optimising shared decision making in high-risk surgical patients (OSIRIS)'''
|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.
|Pseudonymised
|Development
|-
|'''Preventing mother-to-child transmission (MTCT) of hepatitis B virus (HBV) by immunisation'''
|Clinical Effectiveness Group (CEG)
|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.
|Patient identifiable
|In progress
|-
|'''REAL - Child Health'''
|QMUL
|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.
|Pseudonymised
|In progress
|-
|'''Reducing bleeding risk from anticoagulants and antiplatelet medicines'''
|Barts Health NHS Trust
|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.
|De-identified
|In progress
|-
|-
|'''[[Serious Mental Illness (SMI)]]'''
|'''[[Serious Mental Illness (SMI)]]'''
Line 155: Line 71:
|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
|-
|'''Valproate safety in pregnancy'''
|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'''
|'''[[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
|-
|-
|''Genes and Health (Phase 2)''
|'''[[LBH Social Services Interventions]]'''
|''Barking and Dagenham, Havering & Redbridge (BHR) CCGs''
|London Borough of Hackney
|''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.''
|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.
|''Patient identifiable''
|Pseudonymised
|''Live''
|-
|[[Whole Systems Integrated Care Data Warehouse (WSIC)|'''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
|-
|-
|''Predicting Vascular Complications In Diabetes''
|}
|''Barts Health NHS Trust''
 
|''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.''
==User testing==
|
 
|''In progress''
{| class="sortable" border="1" style="border-collapse:collapse; width:100%"
|- 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
|- valign="top"
|'''[[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
|- valign="top"
|'''[[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
|}
 
==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
|- valign="top"
|'''[[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
|-
|-
|NHS Digital - Healthy and Child Programme
|'''[[Genes and Health (Phase 2)]]'''
|
|Barking and Dagenham, Havering & Redbridge (BHR) CCGs
|
|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.
|
|Patient identifiable
|''In progress''
|}
|}

Latest revision as of 15:54, 22 January 2021


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

Live

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

Pseudonymised
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

Development

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
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Last modified
This page was last modified on 22 January 2021, at 15:54.