KCL Application for a Mental Health Data Pathfinder award

Lead Research Organisation: King's College London

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Technical Summary

King’s College London Institute of Psychiatry, Psychology and Neuroscience is the largest
academic centre for mental health research in Europe, and has built up key strengths and leadership in clinical informatics using the rich data contained within mental health electronic records, in psychosis outcome prediction, and in longitudinal studies of mental health in childhood and adolescence. Building on our extensive experience and resources in these areas, we will deliver projects to provide the necessary groundwork for a world-leading national mental health research platform. Project 1 will take a range of algorithms already used at KCL and develop them for implementation in any electronic mental health record, generating protocols to enhance and render available research- and clinically-relevant data from secondary care. Project 2 will facilitate data linkages in a future platform by setting up a proof-of-principle service to ‘network’ individually negotiated healthcare linkages (with National Pupil
Database education records in this case study), enabling the transition from single- to multi-site research. Project 3 will design and pilot a transferable model for monitoring treatment response in first episode psychosis, nested within routine clinical care, by harmonising, standardising and integrating clinical, biological and imaging data. Project 4 will develop and pilot a portable digital platform for recruiting and retaining school-aged mental health cohorts. The projects will be implemented by a co-applicant team that mixes senior, long-established academics at KCL with recently attracted experts and a cadre of future leaders, thus contributing both experience and
potential to the national platform. We additionally draw on longstanding national collaborations and partnerships in data science applied to mental health research.

Publications

10 25 50
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Al Khleifat A (2019) Telomere length is greater in ALS than in controls: a whole genome sequencing study. in Amyotrophic lateral sclerosis & frontotemporal degeneration

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Bean DM (2019) A patient flow simulator for healthcare management education. in BMJ simulation & technology enhanced learning

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Bittar A (2019) Text Classification to Inform Suicide Risk Assessment in Electronic Health Records. in Studies in health technology and informatics

 
Description Determinants of MLTCs among young adults with mental disorders: a data-linkage study
Amount £142,254 (GBP)
Organisation Guy’s & St Thomas’ Charity 
Sector Charity/Non Profit
Country United Kingdom
Start 02/2020 
End 01/2022
 
Description Longitudinal changes in cognitive impairment for patients with Schizophrenia
Amount £223,400 (GBP)
Organisation Takeda Pharmaceutical Company 
Sector Private
Country Japan
Start 02/2019 
End 01/2022
 
Description Patterns of Multiple Long-Term Vascular Conditions in Lambeth and Southwark
Amount £128,369 (GBP)
Organisation Guy’s & St Thomas’ Charity 
Sector Charity/Non Profit
Country United Kingdom
Start 04/2020 
End 09/2021
 
Description SOCIAL AND ECONOMIC PREDICTORS FOR THE COURSE AND PROGNOSIS OF THE SEVERE MENTAL DISORDERS- THE SEP-MD DATA LINKAGE STUDY
Amount £161,761 (GBP)
Funding ID ES/S002715/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 02/2019 
End 07/2020
 
Description Using smartphone-based personal sensing to understand and predict risk of psychotic relapse at the individual level
Amount £754,342 (GBP)
Organisation Medical Research Council (MRC) 
Sector Public
Country United Kingdom
Start 10/2019 
End 09/2023
 
Title SLaM CRIS data linkage with National Cancer Registry 
Description A data linkage set up in Feb 2019 between CRIS and SLaM (mental healthcare records for over 400,000 service users at the South London and Maudsley NHS Foundation Trust) and National Cancer Registry data coordinated by Public Health England; accompanied by a governance model and approvals designed for duplication at further mental healthcare sites; designed to investigate cancer incidence and presentations in people with mental disorders and the quality and outcomes of care received. For each CRIS case matched with NCR, registry data on 10 controls are extracted as part of the database. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact Set up in Feb 2019 so too early for impact yet. 
 
Title SLaM CRIS data linkage with individual Census data 
Description A linkage between the SLaM CRIS mental healthcare records data resource and individual records from the 2011 Census, providing additional data particularly on socioeconomic status, housing and household structure. Data are accessed within the ONS secure facility. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
Impact Only recently set up, so nothing yet. 
 
Description King's Pathfinder network 
Organisation Cardiff University
Country United Kingdom 
Sector Academic/University 
PI Contribution Through KCL's MRC Mental Health Data Pathfinder award, we have been able to assemble this diverse network of partners to enable the development of mental healthcare informatics resources at a national level.
Collaborator Contribution We are working actively with University College London and University of Cambridge, and increasingly with University of Oxford on collaborative initiatives using CRIS and CRIS-like systems to provide research output from electronic health records data. We have active collaborations with Public Health England and the Department for Education on data linkages using CRIS, as data suppliers.
Impact 1. A database has now been assembled for analysis linking our CRIS data with National Cancer Registry data (via Public Health England). 2. The GATE-Cloud natural language processing resource has been successfully set up in Azure (through collaboration with University of Cambridge). 3. External funding has been sourced for collaborative CRIS work (with University of Oxford) involving derivation of new data via KCL-hosted algorithms (and GATE-Cloud - see (2) above). The collaboration is multi-disciplinary involving clinical and non-clinical academic staff from Psychiatry, Epidemiology, Informatics, Computer Science, as well as colleagues in government bodies.
Start Year 2018
 
Description King's Pathfinder network 
Organisation Department for Education
Country United Kingdom 
Sector Public 
PI Contribution Through KCL's MRC Mental Health Data Pathfinder award, we have been able to assemble this diverse network of partners to enable the development of mental healthcare informatics resources at a national level.
Collaborator Contribution We are working actively with University College London and University of Cambridge, and increasingly with University of Oxford on collaborative initiatives using CRIS and CRIS-like systems to provide research output from electronic health records data. We have active collaborations with Public Health England and the Department for Education on data linkages using CRIS, as data suppliers.
Impact 1. A database has now been assembled for analysis linking our CRIS data with National Cancer Registry data (via Public Health England). 2. The GATE-Cloud natural language processing resource has been successfully set up in Azure (through collaboration with University of Cambridge). 3. External funding has been sourced for collaborative CRIS work (with University of Oxford) involving derivation of new data via KCL-hosted algorithms (and GATE-Cloud - see (2) above). The collaboration is multi-disciplinary involving clinical and non-clinical academic staff from Psychiatry, Epidemiology, Informatics, Computer Science, as well as colleagues in government bodies.
Start Year 2018
 
Description King's Pathfinder network 
Organisation Public Health England
Country United Kingdom 
Sector Public 
PI Contribution Through KCL's MRC Mental Health Data Pathfinder award, we have been able to assemble this diverse network of partners to enable the development of mental healthcare informatics resources at a national level.
Collaborator Contribution We are working actively with University College London and University of Cambridge, and increasingly with University of Oxford on collaborative initiatives using CRIS and CRIS-like systems to provide research output from electronic health records data. We have active collaborations with Public Health England and the Department for Education on data linkages using CRIS, as data suppliers.
Impact 1. A database has now been assembled for analysis linking our CRIS data with National Cancer Registry data (via Public Health England). 2. The GATE-Cloud natural language processing resource has been successfully set up in Azure (through collaboration with University of Cambridge). 3. External funding has been sourced for collaborative CRIS work (with University of Oxford) involving derivation of new data via KCL-hosted algorithms (and GATE-Cloud - see (2) above). The collaboration is multi-disciplinary involving clinical and non-clinical academic staff from Psychiatry, Epidemiology, Informatics, Computer Science, as well as colleagues in government bodies.
Start Year 2018
 
Description King's Pathfinder network 
Organisation South London and Maudsley (SLAM) NHS Foundation Trust
Country United Kingdom 
Sector Academic/University 
PI Contribution Through KCL's MRC Mental Health Data Pathfinder award, we have been able to assemble this diverse network of partners to enable the development of mental healthcare informatics resources at a national level.
Collaborator Contribution We are working actively with University College London and University of Cambridge, and increasingly with University of Oxford on collaborative initiatives using CRIS and CRIS-like systems to provide research output from electronic health records data. We have active collaborations with Public Health England and the Department for Education on data linkages using CRIS, as data suppliers.
Impact 1. A database has now been assembled for analysis linking our CRIS data with National Cancer Registry data (via Public Health England). 2. The GATE-Cloud natural language processing resource has been successfully set up in Azure (through collaboration with University of Cambridge). 3. External funding has been sourced for collaborative CRIS work (with University of Oxford) involving derivation of new data via KCL-hosted algorithms (and GATE-Cloud - see (2) above). The collaboration is multi-disciplinary involving clinical and non-clinical academic staff from Psychiatry, Epidemiology, Informatics, Computer Science, as well as colleagues in government bodies.
Start Year 2018
 
Description King's Pathfinder network 
Organisation University College London
Country United Kingdom 
Sector Academic/University 
PI Contribution Through KCL's MRC Mental Health Data Pathfinder award, we have been able to assemble this diverse network of partners to enable the development of mental healthcare informatics resources at a national level.
Collaborator Contribution We are working actively with University College London and University of Cambridge, and increasingly with University of Oxford on collaborative initiatives using CRIS and CRIS-like systems to provide research output from electronic health records data. We have active collaborations with Public Health England and the Department for Education on data linkages using CRIS, as data suppliers.
Impact 1. A database has now been assembled for analysis linking our CRIS data with National Cancer Registry data (via Public Health England). 2. The GATE-Cloud natural language processing resource has been successfully set up in Azure (through collaboration with University of Cambridge). 3. External funding has been sourced for collaborative CRIS work (with University of Oxford) involving derivation of new data via KCL-hosted algorithms (and GATE-Cloud - see (2) above). The collaboration is multi-disciplinary involving clinical and non-clinical academic staff from Psychiatry, Epidemiology, Informatics, Computer Science, as well as colleagues in government bodies.
Start Year 2018
 
Description King's Pathfinder network 
Organisation University of Cambridge
Country United Kingdom 
Sector Academic/University 
PI Contribution Through KCL's MRC Mental Health Data Pathfinder award, we have been able to assemble this diverse network of partners to enable the development of mental healthcare informatics resources at a national level.
Collaborator Contribution We are working actively with University College London and University of Cambridge, and increasingly with University of Oxford on collaborative initiatives using CRIS and CRIS-like systems to provide research output from electronic health records data. We have active collaborations with Public Health England and the Department for Education on data linkages using CRIS, as data suppliers.
Impact 1. A database has now been assembled for analysis linking our CRIS data with National Cancer Registry data (via Public Health England). 2. The GATE-Cloud natural language processing resource has been successfully set up in Azure (through collaboration with University of Cambridge). 3. External funding has been sourced for collaborative CRIS work (with University of Oxford) involving derivation of new data via KCL-hosted algorithms (and GATE-Cloud - see (2) above). The collaboration is multi-disciplinary involving clinical and non-clinical academic staff from Psychiatry, Epidemiology, Informatics, Computer Science, as well as colleagues in government bodies.
Start Year 2018
 
Description King's Pathfinder network 
Organisation University of Nottingham
Country United Kingdom 
Sector Academic/University 
PI Contribution Through KCL's MRC Mental Health Data Pathfinder award, we have been able to assemble this diverse network of partners to enable the development of mental healthcare informatics resources at a national level.
Collaborator Contribution We are working actively with University College London and University of Cambridge, and increasingly with University of Oxford on collaborative initiatives using CRIS and CRIS-like systems to provide research output from electronic health records data. We have active collaborations with Public Health England and the Department for Education on data linkages using CRIS, as data suppliers.
Impact 1. A database has now been assembled for analysis linking our CRIS data with National Cancer Registry data (via Public Health England). 2. The GATE-Cloud natural language processing resource has been successfully set up in Azure (through collaboration with University of Cambridge). 3. External funding has been sourced for collaborative CRIS work (with University of Oxford) involving derivation of new data via KCL-hosted algorithms (and GATE-Cloud - see (2) above). The collaboration is multi-disciplinary involving clinical and non-clinical academic staff from Psychiatry, Epidemiology, Informatics, Computer Science, as well as colleagues in government bodies.
Start Year 2018
 
Description King's Pathfinder network 
Organisation University of Oxford
Country United Kingdom 
Sector Academic/University 
PI Contribution Through KCL's MRC Mental Health Data Pathfinder award, we have been able to assemble this diverse network of partners to enable the development of mental healthcare informatics resources at a national level.
Collaborator Contribution We are working actively with University College London and University of Cambridge, and increasingly with University of Oxford on collaborative initiatives using CRIS and CRIS-like systems to provide research output from electronic health records data. We have active collaborations with Public Health England and the Department for Education on data linkages using CRIS, as data suppliers.
Impact 1. A database has now been assembled for analysis linking our CRIS data with National Cancer Registry data (via Public Health England). 2. The GATE-Cloud natural language processing resource has been successfully set up in Azure (through collaboration with University of Cambridge). 3. External funding has been sourced for collaborative CRIS work (with University of Oxford) involving derivation of new data via KCL-hosted algorithms (and GATE-Cloud - see (2) above). The collaboration is multi-disciplinary involving clinical and non-clinical academic staff from Psychiatry, Epidemiology, Informatics, Computer Science, as well as colleagues in government bodies.
Start Year 2018
 
Description King's Pathfinder network 
Organisation University of Sussex
Department Brighton and Sussex Medical School
Country United Kingdom 
Sector Academic/University 
PI Contribution Through KCL's MRC Mental Health Data Pathfinder award, we have been able to assemble this diverse network of partners to enable the development of mental healthcare informatics resources at a national level.
Collaborator Contribution We are working actively with University College London and University of Cambridge, and increasingly with University of Oxford on collaborative initiatives using CRIS and CRIS-like systems to provide research output from electronic health records data. We have active collaborations with Public Health England and the Department for Education on data linkages using CRIS, as data suppliers.
Impact 1. A database has now been assembled for analysis linking our CRIS data with National Cancer Registry data (via Public Health England). 2. The GATE-Cloud natural language processing resource has been successfully set up in Azure (through collaboration with University of Cambridge). 3. External funding has been sourced for collaborative CRIS work (with University of Oxford) involving derivation of new data via KCL-hosted algorithms (and GATE-Cloud - see (2) above). The collaboration is multi-disciplinary involving clinical and non-clinical academic staff from Psychiatry, Epidemiology, Informatics, Computer Science, as well as colleagues in government bodies.
Start Year 2018
 
Title GATE Cloud 
Description An Azure-hosted platform for hosting and delivering natural language processing and other relevant algorithms for use in healthcare text processing. 
Type Of Technology Software 
Year Produced 2019 
Impact Recently developed and still being piloted.