Case studies: Difference between revisions

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!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"
|- valign="top"
|'''[[Cabergoline]]'''
|'''[[Cabergoline]]'''
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|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
|-
|-
|'''[[Childhood immunisations]]'''
|'''[[Childhood immunisations]]'''
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|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]]'''
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|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
|-
|-
|'''[[Diabetes retinopathy recall]]'''
|'''[[Diabetes retinopathy recall]]'''
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|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]]'''
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|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
|-
|-
|'''[[ELHCP Analytics Portal]]'''
|'''[[ELHCP Analytics Portal]]'''
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|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.
|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
|Pseudonymised
|Live
|-
|-
|'''[[Health checks (BHR)]]'''
|'''[[Health checks (BHR)]]'''
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|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]]'''
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|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)]]'''
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|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]]'''
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|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
|-
|-
|'''[[Serious Mental Illness (SMI)]]'''
|'''[[Serious Mental Illness (SMI)]]'''
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|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
|-
|-
|'''[[Whole Systems Data Project]]'''
|'''[[Whole Systems Data Project]]'''
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|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
|-
|-
|'''[[LBH Social Services Interventions]]'''
|'''[[LBH Social Services Interventions]]'''
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|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.
|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
|Pseudonymised
|Live
|-
|-
|}
|}
<br/>
<br/>
=User testing=
=User testing=


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!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
|'''[[SidM Health]]'''
|'''[[SidM Health]]'''
|Coplug
|Coplug
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Development of SidM Health in line with project scope for  Innovate UK bid Digital health technology catalyst round 4: collaborative R&D
Development of SidM Health in line with project scope for  Innovate UK bid Digital health technology catalyst round 4: collaborative R&D
|Pseudonymised
|Pseudonymised
|User testing
|-
|-
|}
|}


<br/>
=Development=
=Development=


Revision as of 11:20, 2 October 2020

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


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


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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