KCL Application for a Mental Health Data Pathfinder award
Lead Research Organisation:
King's College London
Department Name: UNLISTED
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.
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.
Organisations
- King's College London (Lead Research Organisation)
- Akrivia Health (Collaboration)
- University College Hospital (Collaboration)
- Cardiff University (Collaboration)
- Tongji University Hospital (Collaboration)
- Wuhan Sixth Hospital (Collaboration)
- Guy's and St Thomas' NHS Foundation Trust (Collaboration)
- University of Ghent (Collaboration)
- Ghent University Hospital (Collaboration)
- Oslo University Hospital (Collaboration)
- University of Bristol (Collaboration)
- UNIVERSITY OF SOUTHAMPTON (Collaboration)
- King's College Hospital (Collaboration)
- University of Manchester (Collaboration)
- UNIVERSITY HOSPITAL SOUTHAMPTON NHS FOUNDATION TRUST (Collaboration)
- University College London (Collaboration)
- Department for Education (Collaboration)
- UNIVERSITY OF NOTTINGHAM (Collaboration)
- PUBLIC HEALTH ENGLAND (Collaboration)
- UNIVERSITY HOSPITALS BRISTOL NHS FOUNDATION TRUST (Collaboration)
- South London and Maudsley (SLAM) NHS Foundation Trust (Collaboration)
- McPin Foundation (Collaboration)
- QUEEN'S UNIVERSITY BELFAST (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST (Collaboration)
- UNIVERSITY OF OXFORD (Collaboration)
- Weston Area Health NHS Trust (Collaboration)
- University of Sussex (Collaboration)
- AIMES Grid Services Ltd (Collaboration)
- UNIVERSITY OF GLASGOW (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- SWANSEA UNIVERSITY (Collaboration)
- MQ Mental Health Research (Collaboration)
- Monash University (Collaboration)
People |
ORCID iD |
Publications
Al Khleifat A
(2022)
Structural variation analysis of 6,500 whole genome sequences in amyotrophic lateral sclerosis.
in NPJ genomic medicine
Al Khleifat A
(2019)
Telomere length is greater in ALS than in controls: a whole genome sequencing study.
in Amyotrophic lateral sclerosis & frontotemporal degeneration
Al Khleifat A
(2022)
Telomere length analysis in amyotrophic lateral sclerosis using large-scale whole genome sequence data.
in Frontiers in cellular neuroscience
Al-Harrasi AM
(2021)
Motor signs in Alzheimer's disease and vascular dementia: Detection through natural language processing, co-morbid features and relationship to adverse outcomes.
in Experimental gerontology
Allen P
(2021)
Adverse clinical outcomes in people at clinical high-risk for psychosis related to altered interactions between hippocampal activity and glutamatergic function.
in Translational psychiatry
Anderson H
(2022)
Antipsychotic monitoring in dementia: quality of completion of antipsychotic monitoring forms in an older adult mental health service.
in BJPsych bulletin
Angel B
(2022)
Grip Strength Trajectories and Cognition in English and Chilean Older Adults: A Cross-Cohort Study.
in Journal of personalized medicine
Ashdown-Franks G
(2020)
Predictors of physical activity recording in routine mental healthcare
in Mental Health and Physical Activity
Ashdown-Franks G
(2023)
"Triggered by the sound of other runners": An exploration of parkrun mentions in mental health hospital records in the UK
in Mental Health and Physical Activity
| Description | Citation in King's Health Partners Impact Report 2020-21 |
| Geographic Reach | National |
| Policy Influence Type | Contribution to new or Improved professional practice |
| Impact | SLaM (Maudsley BRC) has developed a psychosis dashboard, VIEWER, which uses Clinical Record Interactive Search data modelling methods to extract clinically focussed data for patients with psychosis from local clinical data. Results are picked up by COGSTACK (our award-winning AI information retrieval and extraction platform) and have had results within neurotoxin dosing for tariffs, all females of child-bearing age prescribed sodium valproate and the first Seizure Clinical Audit. The programme also received key funding including on DATAMIND, a Hub for Mental Health Informatics Research Development. Finally, KCL is co-leading a MRC funded mental health data-hub which will extend applied informatics across the UK. |
| URL | https://www.kingshealthpartners.org/assets/000/004/339/Impact_Report_original.pdf?1633529229 |
| Description | CogStack NLP tool mentioned in Matt Hancock speech "Better tech: not a 'nice to have' but vital to have for the NHS" |
| Geographic Reach | National |
| Policy Influence Type | Citation in other policy documents |
| URL | https://www.gov.uk/government/speeches/better-tech-not-a-nice-to-have-but-vital-to-have-for-the-nhs |
| Description | CogStack NLP tool mentioned in NSHX report Artificial Intelligence: How to get it right |
| Geographic Reach | National |
| Policy Influence Type | Citation in systematic reviews |
| URL | https://www.nhsx.nhs.uk/media/documents/NHSX_AI_report.pdf |
| Description | Hospital derived insights during covid |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Impact | Insights into ethnicity, ACEi risk and evaluation of the NEWS2 risk score |
| Description | Invited to contribute to Topol Review on the impact of technology on the future of mental health care |
| Geographic Reach | National |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| Impact | The Secretary of State for Health and Social Care commissioned the Topol Review 'Preparing the healthcare workforce to deliver the digital future', the health and care Workforce Strategy for England to 2027, through education and training, to deliver the digital future. |
| URL | https://topol.hee.nhs.uk/ |
| Description | Wellcome Trust AI in mental health advisory group meeting |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Wellcome Trust developed a strategy for funding of AI in mental health |
| Description | cogstack recognised in NHS tech plan |
| Geographic Reach | National |
| Policy Influence Type | Citation in other policy documents |
| Impact | NHS tech plan |
| URL | https://jointheconversation.scwcsu.nhs.uk/tech-plan |
| Description | cogstack recognised in NHS tech plan |
| Geographic Reach | National |
| Policy Influence Type | Citation in other policy documents |
| Impact | "The Cogstack AI can perform manual coding and data collection tasks in a tenth of the time that it takes a human analyst." "It's a clear example of the latest AI helping us fix the basics, because once you've coded up and digitised your patient records, you can start to solve fundamental problems, like how to share those records across different parts of the NHS |
| URL | https://www.gov.uk/government/speeches/better-tech-not-a-nice-to-have-but-vital-to-have-for-the-nhs |
| Description | (COVID-RED) - COVID-19 infections - Remote Early Detection |
| Amount | € 10,329,254 (EUR) |
| Funding ID | 101005177 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 07/2020 |
| End | 12/2021 |
| Description | (DESIRE) - Development and Epilepsy - Strategies for Innovative Research to improve diagnosis, prevention and treatment in children with difficult to treat Epilepsy |
| Amount | € 16,448,307 (EUR) |
| Funding ID | 602531 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 10/2013 |
| End | 09/2018 |
| Description | (EMIF) - European Medical Information Framework |
| Amount | € 53,642,677 (EUR) |
| Funding ID | 115372 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 01/2013 |
| End | 06/2018 |
| Description | AIMS-2-TRIALS: Autism Innovative Medicine Studies - 2 - Trials |
| Amount | £43,999,999 (GBP) |
| Funding ID | 777394 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 06/2018 |
| End | 05/2023 |
| Description | AVERT - AI-based Virtual Environment for Risk Tracking in mental health |
| Amount | £642,935 (GBP) |
| Funding ID | 104542 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 07/2018 |
| End | 04/2020 |
| Description | Advancing Impact Award, Protocol development to validate speech collection for psychological assessments: a pilot study |
| Amount | £4,900 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2022 |
| End | 12/2022 |
| Description | An investigation of the epidemiology of falls, fractures and outcomes among people with psychotic and affective disorders |
| Amount | £180,272 (GBP) |
| Funding ID | ICA-CL-2017-03-001 |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2018 |
| End | 05/2021 |
| Description | Biological mechanisms underlying the onset and outcome of cannabis-associated psychosis |
| Amount | £1,004,671 (GBP) |
| Funding ID | MR/M008436/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2015 |
| End | 05/2019 |
| Description | CONVALESCENCE Project: Characterisation, determinants, mechanisms and consequences of the long-term effects of COVID-19: providing the evidence base for health care services |
| Amount | £607,110 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2021 |
| End | 02/2024 |
| Description | CogStack Natural Language Processing (NLP) AI based clinical coding and data processing for transformation and improvement of research, planning and care |
| Amount | £248,501 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 07/2023 |
| Description | CogStack in South London & Maudsley NHS Foundation Trust |
| Amount | £345,074 (GBP) |
| Organisation | Maudsley Hospital |
| Sector | Hospitals |
| Country | United Kingdom |
| Start | 09/2018 |
| End | 08/2020 |
| Description | Combinatorial biomarkers for dementia prodromes, prediction, pathology and progression |
| Amount | £138,380 (GBP) |
| Funding ID | ARUK-EXT2013-4 |
| Organisation | Alzheimer's Research UK |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 12/2013 |
| End | 12/2015 |
| Description | Creating an early diagnostic blood test for Alzheimer's Disease |
| Amount | £79,457 (GBP) |
| Funding ID | 171 |
| Organisation | Alzheimer's Society |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 10/2013 |
| End | 09/2016 |
| Description | DATAMIND - The Data Hub for Mental Health Informatics Research and Development |
| Amount | £292,440 (GBP) |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 08/2024 |
| Description | DATAMIND: Data Hub for Mental health INformatics research Development |
| Amount | £2,031,434 (GBP) |
| Funding ID | MR/W014386/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 08/2024 |
| Description | DETERMIND: DETERMinants of quality of life, care and costs, and consequences of INequalities in people with Dementia and their family carers |
| Amount | £3,787,632 (GBP) |
| Funding ID | ES/S010351/1 |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2019 |
| End | 12/2023 |
| Description | DRIVE Health CDT - Normative PET neuroimaging for precision medicine applications in brain disorders |
| Amount | £114,965 (GBP) |
| Organisation | GlaxoSmithKline (GSK) |
| Sector | Private |
| Country | Global |
| Start | 10/2020 |
| End | 03/2024 |
| Description | DRIVE Health CDT: A whole-genome sequencing approach to advance precision medicine and study patient heterogeneity in ALS |
| Amount | £114,965 (GBP) |
| Organisation | GlaxoSmithKline (GSK) |
| Sector | Private |
| Country | Global |
| Start | 10/2020 |
| End | 03/2024 |
| Description | DRIVE Health CDT: Using multi-omic data for neuroendocrine cancer diagnostics and metastatic predictions |
| Amount | £187,936 (GBP) |
| Organisation | GlaxoSmithKline (GSK) |
| Sector | Private |
| Country | Global |
| Start | 10/2020 |
| End | 03/2024 |
| Description | DRIVE-Health CDT : Use of machine learning and clinical phenotyping to identify determinants and predict CVMD risk using data from registries and electronic medical records |
| Amount | £291,075 (GBP) |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2020 |
| End | 03/2024 |
| Description | DRIVE-Health CDT: Applications of Natural Language Processing for extraction and organisation of medical data to support clinical knowledge networks and clinical decision platforms |
| Amount | £258,489 (GBP) |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2021 |
| End | 07/2025 |
| Description | DRIVE-Health CDT: Care pathways and treatment outcomes for people with long-term conditions accessing IAPT services |
| Amount | £276,403 (GBP) |
| Organisation | Mayden |
| Sector | Private |
| Country | United Kingdom |
| Start | 10/2020 |
| End | 03/2024 |
| Description | Deciphering the causal relationship between blood metabolic biomarkers and Alzheimer's Disease |
| Amount | £419,225 (GBP) |
| Funding ID | ARUK-SRF2016A-3 |
| Organisation | Alzheimer's Research UK |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2017 |
| End | 12/2021 |
| Description | Deciphering the causal relationship between blood metabolic biomarkers and Alzheimer's Disease |
| Amount | £419,225 (GBP) |
| Organisation | Alzheimer's Research UK |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2017 |
| End | 12/2021 |
| 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 | Development of a high throughput gene, environment and epigenetics database and analysis system for international ALS research |
| Amount | £171,479 (GBP) |
| Funding ID | AlChalabi-Dobson/Apr14/829-791 |
| Organisation | Motor Neurone Disease Association (MND) |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 10/2014 |
| End | 09/2017 |
| Description | Dialogue Assistance for Negotiations in Cross-cultural Settings: A Neuro-Symbolic Computational Approach, |
| Amount | £40,543 (GBP) |
| Organisation | Department of Defense |
| Sector | Public |
| Country | United States |
| Start | 11/2021 |
| End | 11/2023 |
| Description | EDIFY: Eating Disorders: Delineating illness and recovery trajectories to inform personalised prevention and early intervention |
| Amount | £2,905,234 (GBP) |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 08/2025 |
| Description | Early identification of Alzheimer's disease: dynamic biomarkers for enrichment of trials |
| Amount | £253,519 (GBP) |
| Funding ID | MR/L011859/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2014 |
| End | 03/2017 |
| Description | Empowering Better End of life Dementia Care (EMBED-Care Programme) |
| Amount | £3,719,484 (GBP) |
| Funding ID | ES/S010327/1 |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2019 |
| End | 12/2023 |
| Description | Extending the benefits of primary indicated prevention to improve outcomes of Psychosis |
| Amount | £80,000 (GBP) |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2017 |
| End | 05/2019 |
| Description | Gene regulatory variation in the developing human brain and its role in neuropsychiatric disorders |
| Amount | £497,359 (GBP) |
| Funding ID | MR/L010674/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2014 |
| End | 07/2015 |
| Description | HDR UK National Text Analytics |
| Amount | £14,232 (GBP) |
| Organisation | Health Data Research UK |
| Sector | Private |
| Country | United Kingdom |
| Start | 10/2019 |
| End | 03/2023 |
| Description | Health Data Research UK Baseline Project - London 7 |
| Amount | £1,167,046 (GBP) |
| Funding ID | HDR-2007 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2018 |
| End | 12/2018 |
| Description | Health Outcomes Observatory |
| Amount | £821,814 (GBP) |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 10/2020 |
| End | 09/2025 |
| Description | Healthcare Informatics, Genomics/Omics and Data Science - Bioinformatician Data Scientist (KCL Secondment) |
| Amount | £51,882 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2018 |
| End | 03/2022 |
| Description | Healthcare Informatics, Genomics/Omics and Data Science - Computer Scientist/AI (KCL Secondment) |
| Amount | £95,474 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2018 |
| End | 03/2022 |
| Description | Healthcare Informatics, Genomics/Omics and Data Science - KCL Secondment |
| Amount | £9,749 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2017 |
| End | 08/2019 |
| Description | Healthcare Informatics, Genomics/Omics and Data Science - Non Clinical Cost |
| Amount | £32,000 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2018 |
| End | 03/2022 |
| Description | Healthcare Informatics, Genomics/Omics and Data Science - Software Developer Hospital Informatics (KCL Secondment) |
| Amount | £134,894 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2018 |
| End | 03/2022 |
| Description | Healthcare Informatics, Genomics/Omics and Data Science - Wearables Software Developer |
| Amount | £113,531 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2018 |
| End | 05/2020 |
| Description | IMI Big Data for Better Outcomes |
| Amount | £135,642,508 (GBP) |
| Organisation | European Commission H2020 |
| Sector | Public |
| Country | Belgium |
| Start | 03/2017 |
| End | 02/2022 |
| Description | Informatics, Genomics/Omics and Data Science - Text Mining Software Developer |
| Amount | £160,186 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2018 |
| End | 12/2020 |
| Description | Institutional Strategic Support Fund Phase2 FY2014/16 |
| Amount | £3,000,000 (GBP) |
| Funding ID | 105604/Z/14/Z |
| Organisation | Wellcome Trust |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 10/2014 |
| End | 10/2018 |
| Description | Investigating Adverse Effects of Psychiatric Drugs through Data-Mining of Electronic Health Records and Integration of Clinical and Genomic Data |
| Amount | £53,929 (GBP) |
| Organisation | Guy’s & St Thomas’ Charity |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 04/2013 |
| End | 03/2014 |
| Description | Investigating the role of human endogenous retroviruses in Amyotrophic Lateral Sclerosis using long-read sequencing |
| Amount | £89,601 (GBP) |
| Organisation | Rosetrees Trust |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 01/2022 |
| End | 12/2024 |
| Description | KCL Confidence in Concept 2013 |
| Amount | £500,000 (GBP) |
| Funding ID | MC_PC_13065 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2014 |
| End | 04/2016 |
| Description | KConnect - Khresmoi Multilingual Medical Text Analysis, Search and Machine Translation Connected in a Thriving Data-Value Chain |
| Amount | £256,500 (GBP) |
| Funding ID | 644753 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 02/2015 |
| End | 07/2017 |
| Description | King's Mental Health Data Pathfinder |
| Amount | £1,497,000 (GBP) |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2018 |
| End | 03/2020 |
| Description | London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare |
| Amount | £9,985,272 (GBP) |
| Funding ID | 104691 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2019 |
| End | 01/2022 |
| Description | London Substantive Site for HDR UK |
| Amount | £1,116,704 (GBP) |
| Organisation | Health Data Research UK |
| Sector | Private |
| Country | United Kingdom |
| Start | 04/2018 |
| End | 03/2023 |
| Description | Longitudinal changes in cognitive impairment for patients with Schizophrenia |
| Amount | £223,400 (GBP) |
| Organisation | Takeda Pharmaceutical Company |
| Department | Takeda Pharmaceuticals U.S.A., Inc. (TPUSA) |
| Sector | Private |
| Country | United States |
| Start | 02/2019 |
| 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 | Low coverage sequencing for the detection and analysis of genomic structural variants in schizophrenia |
| Amount | £1,015,897 (GBP) |
| Funding ID | G1100583 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2011 |
| End | 03/2015 |
| Description | MICA: Immuno-psychiatry: a consortium to test the opportunity for immunotherapeutics in psychiatry |
| Amount | £497,427 (GBP) |
| Funding ID | MR/L014815/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2014 |
| End | 09/2016 |
| Description | Management of chronic cardiometabolic disease and treatment discontinuity in adult ADHD patients (TIMESPAN) |
| Amount | £2,115,862 (GBP) |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 04/2021 |
| End | 03/2026 |
| Description | Me_Health_e: testing the added value of electronic outcome measurement in CAMHS |
| Amount | £87,378 (GBP) |
| Organisation | Guy’s & St Thomas’ Charity |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 06/2016 |
| End | 05/2018 |
| Description | Mothers in treatment for substance use: using electronic records to understand individual and treatment characteristics associated with child care and maternal outcomes |
| Amount | £108,087 (GBP) |
| Funding ID | JUS/43818 |
| Organisation | Nuffield Foundation |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 11/2021 |
| Description | Multi-modal Bio-molecular Risk Prediction of Psychosis |
| Amount | £16,672 (GBP) |
| Organisation | Brain & Behaviour Research Foundation |
| Sector | Charity/Non Profit |
| Country | United States |
| Start | 03/2015 |
| End | 03/2017 |
| Description | Multi-omics analysis of human endogenous retroviruses in ALS |
| Amount | £63,099 (GBP) |
| Organisation | MND Scotland |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 06/2019 |
| End | 06/2020 |
| Description | NIHR Applied Research Collaboration South London |
| Amount | £16,480,053 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2019 |
| End | 09/2024 |
| Description | NIHR Biomedical Research Centre |
| Amount | £11,269,584 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2019 |
| End | 03/2020 |
| Description | NIHR Biomedical Research Centre |
| Amount | £8,852,753 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2017 |
| End | 03/2022 |
| Description | NIHR Biomedical Research Centre |
| Amount | £11,490,814 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2018 |
| End | 03/2019 |
| Description | NIHR Biomedical Research Centre. Funding for Financial Year 2017/18 |
| Amount | £8,852,753 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2017 |
| End | 03/2018 |
| Description | NIHR Maudsley Biomedical Research Centre (BRC) at South London and Maudsley NHS Foundation Trust and the IoPPN |
| Amount | £41,000,000 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2022 |
| End | 12/2027 |
| Description | Natural Language Processing based Artificial Intelligence Methods to Detect Heart Failure with preserved Ejection Fraction |
| Amount | £146,933 (GBP) |
| Organisation | British Heart Foundation (BHF) |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 01/2022 |
| End | 01/2024 |
| Description | On-Line Parent Training for the Initial Management of ADHD referral |
| Amount | £1,957,977 (GBP) |
| Funding ID | RP-PG-0618-20003 |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2020 |
| End | 02/2025 |
| 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 | Persistent Fatigue Induced by Interferon-alpha: A New Immunological Model for Chronic Fatigue Syndrome |
| Amount | £373,075 (GBP) |
| Funding ID | MR/J002739/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2012 |
| End | 08/2016 |
| Description | RADAR-AD: Remote Assessment of Disease and Relapse - Alzheimer's Disease |
| Amount | £4,149,798 (GBP) |
| Funding ID | 806999 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 01/2019 |
| End | 06/2022 |
| Description | Remote Assessment of Disease and Relapse in Central Nervous System Disorders (RADAR-CNS) |
| Amount | £2,899,437 (GBP) |
| Funding ID | 115902 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 04/2016 |
| End | 03/2021 |
| Description | Research into the longer term effects of COVID-19 in non-hospitalised individuals |
| Amount | £386,934 (GBP) |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2021 |
| End | 01/2024 |
| 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 | Systems-biology based approaches for the identification of genes controlling complex phenotypic traits |
| Amount | £99,932 (GBP) |
| Funding ID | BB/I016287/1 |
| Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2011 |
| End | 09/2015 |
| Description | TEDS 26: A longitudinal genetic approach to understanding the development and intergenerational transmission of common mental health conditions |
| Amount | £2,594,561 (GBP) |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2021 |
| End | 12/2025 |
| Description | TIMESPAN: Management of chronic cardiometabolic disease and treatment discontinuity in adult ADHD patients |
| Amount | £1,261,609 (GBP) |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 04/2021 |
| End | 03/2026 |
| Description | The National Text Analytics Project |
| Amount | £410,436 (GBP) |
| Organisation | Health Data Research UK |
| Sector | Private |
| Country | United Kingdom |
| Start | 10/2019 |
| End | 03/2023 |
| Description | The clinical application of remote monitoring technology to optimize treatment effectiveness and tolerability in children with attention deficit hyperactivity disorder |
| Amount | £206,512 (GBP) |
| Organisation | King's College London |
| Department | Psychiatry Research Trust |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 11/2017 |
| End | 10/2020 |
| Description | Tracking the impact of Covid-19 on the mental health of children, young people and families; follow up of a national longitudinal probability sample |
| Amount | £679,787 (GBP) |
| Funding ID | MR/V027751/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 07/2020 |
| End | 09/2021 |
| Description | UCL Application for a Mental Health Data Pathfinder award |
| Amount | £499,976 (GBP) |
| Funding ID | MC_PC_17216 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2018 |
| End | 05/2021 |
| Description | UK Infrastructure for Large-Scale Clinical Genomics Research |
| Amount | £251,454 (GBP) |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2015 |
| End | 09/2020 |
| Description | Understanding how transcriptomic, genomic and proteomic variation is associated with metabolic changes in Alzheimer's Disease. |
| Amount | £199,777 (GBP) |
| Funding ID | 167 |
| Organisation | Alzheimer's Society |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 10/2012 |
| End | 12/2015 |
| Description | Using Knowledge Graph Learning to Predict and Explain Patient Outcomes in Electronic Health Records |
| Amount | £304,277 (GBP) |
| Funding ID | MR/S00310X/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2018 |
| End | 02/2021 |
| 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 |
| Description | Using statistical models and machine learning to find subgroups of patients with homogeneous disease causes in Amyotrophic Lateral Sclerosis |
| Amount | £166,384 (GBP) |
| Funding ID | Iacoangeli/Apr19/869-791 |
| Organisation | Motor Neurone Disease Association (MND) |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 10/2019 |
| End | 09/2021 |
| Description | Violence, Health and Society: VISION |
| Amount | £7,128,297 (GBP) |
| Funding ID | MR/V049879/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 09/2026 |
| Description | Vital@home |
| Amount | £224,128 (GBP) |
| Organisation | European Commission H2020 |
| Sector | Public |
| Country | Belgium |
| Start | 01/2017 |
| End | 12/2017 |
| Title | A library of natural language processing algorithms to support mental healthcare text analytics |
| Description | Through the MRC Mental Health Data Pathfinder award to KCL and supported by the subsequent DATAMIND hub and VISION consortium, we have produced comprehensive online, open-access catalogues, regularly updated on natural language processing algorithms currently supporting research using text fields from electronic mental healthcare records. The functionality of the algorithms has been made available on request through the Mental Health - Text Analytics Cloud (MH-TAC, previously 'GATE Cloud') platform, also developed through the KCL Pathfinder award and DATAMIND hub (and described elsewhere). |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The algorithms are widely used in CRIS research and have increasingly been run over text from other NHS Mental Health Trusts. |
| URL | https://www.maudsleybrc.nihr.ac.uk/facilities/clinical-record-interactive-search-cris/cris-natural-l... |
| Title | A platform for enabling sharing of healthcare natural language processing functionality (MH-TAC) |
| Description | The Mental Health Text Analytics Cloud (MH-TAC) has been developed as a within-NHS platform to facilitate the sharing of natural language processing algorithms, including but not restricted to the large catalogue developed and maintained at the NIHR Maudsley Biomedical Research Centre. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Successful prototype development. In use by three separate organisations to date. |
| Title | Enabling multi-site research using mental healthcare data linked to other information sources |
| Description | Through the MRC Mental Health Data Pathfinder award we worked with several other sites to enable/facilitate data linkages between mental healthcare and external sources. These include: i) Informal assistance to UCL and University of Cambridge on linking local mental healthcare data to Hospital Episode Statistics (NHS Digital); ii) Assistance to University of Cambridge linking local mental healthcare data to the National Pupil Database; iii) Assistance to UCL, University of Cambridge and University of Oxford to link local mental healthcare data to the National Cancer Registry. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Increased capacity for multi-site clinical informatics research. |
| Title | Recently developed natural language processing algorithms |
| Description | Natural language processing algorithms have been developed and/or first applied this year to ascertain recorded instances of violence in mental healthcare, and co-occurring physical health conditions (21 to date). In addition, novel characterisation of psychomotor agitation/retardation is now possible. Finally, a range of 'long Covid' symptoms can now be ascertained - developed in response to PPIE. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Successful application in a range of completed research projects using mental healthcare data. |
| URL | https://www.maudsleybrc.nihr.ac.uk/facilities/clinical-record-interactive-search-cris/cris-natural-l... |
| Title | Linkage between CRIS mental healthcare data and HFEA data |
| Description | This links mental healthcare data with HFEA data on fertility assessment and treatment, allowing (for the first time) investigations of mental health inequalities in infertility investigation and treatment to be evaluated. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | These are still rather early days following the linkage. |
| URL | https://www.maudsleybrc.nihr.ac.uk/facilities/clinical-record-interactive-search-cris/cris-data-link... |
| Title | Linkage between CRIS mental healthcare data and the HIV and AIDS Reporting Service |
| Description | A linkage between mental healthcare data and HIV reporting data. This enables (for the first time) mental health inequalities in HIV investigation and/or management to be investigated. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | At relatively early stages of use. A descriptive paper will be in the public domain shortly. |
| Title | NHS language model |
| Description | An AI model that can read and understand text within electronic health records. This has been trained on electronic health records from a number of large UK Trusts, making, to our knowledge, the largest UK based and trained NLP model. It only requires minor tuning for new hospital settings so is very generalised |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | This is only available under strict governance. It has helped produce detailed insights into covid across multiple hospitals |
| URL | https://github.com/CogStack/MedCAT |
| 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 | Belgium - retrospective multicenter cohort study to analyze the association between ACEi/ARB and/or statin use with clinical outcome of COVID-19 |
| Organisation | Ghent University Hospital |
| Country | Belgium |
| Sector | Hospitals |
| PI Contribution | We provided the code from our earlier analysis in UK data and contributed to analysis/interpretation. |
| Collaborator Contribution | They handled the data and performed the analysis. |
| Impact | Publication in JAMDA https://doi.org/10.1016/j.jamda.2020.06.018 |
| Start Year | 2020 |
| Description | Belgium - retrospective multicenter cohort study to analyze the association between ACEi/ARB and/or statin use with clinical outcome of COVID-19 |
| Organisation | University of Ghent |
| Country | Belgium |
| Sector | Academic/University |
| PI Contribution | We provided the code from our earlier analysis in UK data and contributed to analysis/interpretation. |
| Collaborator Contribution | They handled the data and performed the analysis. |
| Impact | Publication in JAMDA https://doi.org/10.1016/j.jamda.2020.06.018 |
| Start Year | 2020 |
| Description | DATAMIND network |
| Organisation | AIMES Grid Services Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | Akrivia Health |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | Cardiff University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | MQ Mental Health Research |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | McPin Foundation |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | Queen's University Belfast |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | Swansea University |
| Department | Swansea University Medical School |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | University of Glasgow |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | University of Manchester |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| Description | DATAMIND network |
| Organisation | University of Oxford |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I co-direct this initiative and my research team is responsible for its project management, as well as leading a workpackage |
| Collaborator Contribution | The partners contribute to the facilitation of mental health data science nationally. |
| Impact | It's a little early for outputs, as it only commenced in Sep 2021. The disciplines involved are epidemiology, psychiatry, public health, computer science, project management, administration. |
| Start Year | 2021 |
| 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 |
| Description | Mental Health Translational Research Collaborative (MH-TRC) medical informatics working group |
| Organisation | Cardiff University |
| Department | School of Medicine |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I proposed a medical informatics working group for the NIHR MH-TRC which was adopted and is now up and running (and I am an active partner in this). Through this partnership, I was able to lead a piece of work evaluating mental healthcare provision changes across 10 sites during the first wave of the COVID-19 pandemic. |
| Collaborator Contribution | Most NIHR-associated academic centres, plus centres receiving equivalent funding in devolved nations, contribute to the medical informatics working group and to the COVID-19 exemplar project. |
| Impact | The collaboration is multi-disciplinary with academic leads drawn from varying medical and non-medical disciplines. |
| Start Year | 2020 |
| Description | Mental Health Translational Research Collaborative (MH-TRC) medical informatics working group |
| Organisation | Swansea University |
| Department | Swansea University Medical School |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I proposed a medical informatics working group for the NIHR MH-TRC which was adopted and is now up and running (and I am an active partner in this). Through this partnership, I was able to lead a piece of work evaluating mental healthcare provision changes across 10 sites during the first wave of the COVID-19 pandemic. |
| Collaborator Contribution | Most NIHR-associated academic centres, plus centres receiving equivalent funding in devolved nations, contribute to the medical informatics working group and to the COVID-19 exemplar project. |
| Impact | The collaboration is multi-disciplinary with academic leads drawn from varying medical and non-medical disciplines. |
| Start Year | 2020 |
| Description | Mental Health Translational Research Collaborative (MH-TRC) medical informatics working group |
| Organisation | University College London |
| Department | Medical School |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I proposed a medical informatics working group for the NIHR MH-TRC which was adopted and is now up and running (and I am an active partner in this). Through this partnership, I was able to lead a piece of work evaluating mental healthcare provision changes across 10 sites during the first wave of the COVID-19 pandemic. |
| Collaborator Contribution | Most NIHR-associated academic centres, plus centres receiving equivalent funding in devolved nations, contribute to the medical informatics working group and to the COVID-19 exemplar project. |
| Impact | The collaboration is multi-disciplinary with academic leads drawn from varying medical and non-medical disciplines. |
| Start Year | 2020 |
| Description | Mental Health Translational Research Collaborative (MH-TRC) medical informatics working group |
| Organisation | University of Cambridge |
| Department | Department of Psychiatry |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I proposed a medical informatics working group for the NIHR MH-TRC which was adopted and is now up and running (and I am an active partner in this). Through this partnership, I was able to lead a piece of work evaluating mental healthcare provision changes across 10 sites during the first wave of the COVID-19 pandemic. |
| Collaborator Contribution | Most NIHR-associated academic centres, plus centres receiving equivalent funding in devolved nations, contribute to the medical informatics working group and to the COVID-19 exemplar project. |
| Impact | The collaboration is multi-disciplinary with academic leads drawn from varying medical and non-medical disciplines. |
| Start Year | 2020 |
| Description | Mental Health Translational Research Collaborative (MH-TRC) medical informatics working group |
| Organisation | University of Edinburgh |
| Department | Medical School Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I proposed a medical informatics working group for the NIHR MH-TRC which was adopted and is now up and running (and I am an active partner in this). Through this partnership, I was able to lead a piece of work evaluating mental healthcare provision changes across 10 sites during the first wave of the COVID-19 pandemic. |
| Collaborator Contribution | Most NIHR-associated academic centres, plus centres receiving equivalent funding in devolved nations, contribute to the medical informatics working group and to the COVID-19 exemplar project. |
| Impact | The collaboration is multi-disciplinary with academic leads drawn from varying medical and non-medical disciplines. |
| Start Year | 2020 |
| Description | Mental Health Translational Research Collaborative (MH-TRC) medical informatics working group |
| Organisation | University of Glasgow |
| Department | School of Medicine Glasgow |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I proposed a medical informatics working group for the NIHR MH-TRC which was adopted and is now up and running (and I am an active partner in this). Through this partnership, I was able to lead a piece of work evaluating mental healthcare provision changes across 10 sites during the first wave of the COVID-19 pandemic. |
| Collaborator Contribution | Most NIHR-associated academic centres, plus centres receiving equivalent funding in devolved nations, contribute to the medical informatics working group and to the COVID-19 exemplar project. |
| Impact | The collaboration is multi-disciplinary with academic leads drawn from varying medical and non-medical disciplines. |
| Start Year | 2020 |
| Description | Mental Health Translational Research Collaborative (MH-TRC) medical informatics working group |
| Organisation | University of Manchester |
| Department | School of Medicine Manchester |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I proposed a medical informatics working group for the NIHR MH-TRC which was adopted and is now up and running (and I am an active partner in this). Through this partnership, I was able to lead a piece of work evaluating mental healthcare provision changes across 10 sites during the first wave of the COVID-19 pandemic. |
| Collaborator Contribution | Most NIHR-associated academic centres, plus centres receiving equivalent funding in devolved nations, contribute to the medical informatics working group and to the COVID-19 exemplar project. |
| Impact | The collaboration is multi-disciplinary with academic leads drawn from varying medical and non-medical disciplines. |
| Start Year | 2020 |
| Description | Mental Health Translational Research Collaborative (MH-TRC) medical informatics working group |
| Organisation | University of Nottingham |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I proposed a medical informatics working group for the NIHR MH-TRC which was adopted and is now up and running (and I am an active partner in this). Through this partnership, I was able to lead a piece of work evaluating mental healthcare provision changes across 10 sites during the first wave of the COVID-19 pandemic. |
| Collaborator Contribution | Most NIHR-associated academic centres, plus centres receiving equivalent funding in devolved nations, contribute to the medical informatics working group and to the COVID-19 exemplar project. |
| Impact | The collaboration is multi-disciplinary with academic leads drawn from varying medical and non-medical disciplines. |
| Start Year | 2020 |
| Description | Mental Health Translational Research Collaborative (MH-TRC) medical informatics working group |
| Organisation | University of Oxford |
| Department | Department of Psychiatry |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I proposed a medical informatics working group for the NIHR MH-TRC which was adopted and is now up and running (and I am an active partner in this). Through this partnership, I was able to lead a piece of work evaluating mental healthcare provision changes across 10 sites during the first wave of the COVID-19 pandemic. |
| Collaborator Contribution | Most NIHR-associated academic centres, plus centres receiving equivalent funding in devolved nations, contribute to the medical informatics working group and to the COVID-19 exemplar project. |
| Impact | The collaboration is multi-disciplinary with academic leads drawn from varying medical and non-medical disciplines. |
| Start Year | 2020 |
| Description | Mental Health Translational Research Collaborative (MH-TRC) medical informatics working group |
| Organisation | University of Southampton |
| Department | Southampton Medical School |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I proposed a medical informatics working group for the NIHR MH-TRC which was adopted and is now up and running (and I am an active partner in this). Through this partnership, I was able to lead a piece of work evaluating mental healthcare provision changes across 10 sites during the first wave of the COVID-19 pandemic. |
| Collaborator Contribution | Most NIHR-associated academic centres, plus centres receiving equivalent funding in devolved nations, contribute to the medical informatics working group and to the COVID-19 exemplar project. |
| Impact | The collaboration is multi-disciplinary with academic leads drawn from varying medical and non-medical disciplines. |
| Start Year | 2020 |
| Description | Monash Uni and Monash Partner Text Analytics partnership |
| Organisation | Monash University |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Provided technical input and access and support for our open source text analytics toolkit which they are deploying and used to secure funding of £1.5m |
| Collaborator Contribution | They want to bring text analytics capability to hospitals in AUS through the use of cogstack (cogstack.org). We supported them in defining their requirements, winning funds and starting the deployments (MRFF-CRR- Rapid Response Digital Health Infrastructure https://monashpartners.org.au/2020/11/28/new-technology-to-improve-access-to-patients-electronic-health-records/) |
| Impact | early deployment |
| Start Year | 2020 |
| Description | NEWS2 - COVID19 international evaluation and improvement |
| Organisation | Guy's and St Thomas' NHS Foundation Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | We developed the evaluation protocol and proposed improvements to NEWS2. We performed the training and validation in King's College Hospital data and integrated the results from external sites. |
| Collaborator Contribution | All partners extracted and analysed their own data based on the model we provided. |
| Impact | Publication in BMC Medicine https://doi.org/10.1186/s12916-020-01893-3 This is an interdisciplinary collaboration including clinicians from multiple specialties and informaticians/statisticans. |
| Start Year | 2020 |
| Description | NEWS2 - COVID19 international evaluation and improvement |
| Organisation | King's College Hospital |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | We developed the evaluation protocol and proposed improvements to NEWS2. We performed the training and validation in King's College Hospital data and integrated the results from external sites. |
| Collaborator Contribution | All partners extracted and analysed their own data based on the model we provided. |
| Impact | Publication in BMC Medicine https://doi.org/10.1186/s12916-020-01893-3 This is an interdisciplinary collaboration including clinicians from multiple specialties and informaticians/statisticans. |
| Start Year | 2020 |
| Description | NEWS2 - COVID19 international evaluation and improvement |
| Organisation | Oslo University Hospital |
| Country | Norway |
| Sector | Hospitals |
| PI Contribution | We developed the evaluation protocol and proposed improvements to NEWS2. We performed the training and validation in King's College Hospital data and integrated the results from external sites. |
| Collaborator Contribution | All partners extracted and analysed their own data based on the model we provided. |
| Impact | Publication in BMC Medicine https://doi.org/10.1186/s12916-020-01893-3 This is an interdisciplinary collaboration including clinicians from multiple specialties and informaticians/statisticans. |
| Start Year | 2020 |
| Description | NEWS2 - COVID19 international evaluation and improvement |
| Organisation | Tongji University Hospital |
| Country | China |
| Sector | Hospitals |
| PI Contribution | We developed the evaluation protocol and proposed improvements to NEWS2. We performed the training and validation in King's College Hospital data and integrated the results from external sites. |
| Collaborator Contribution | All partners extracted and analysed their own data based on the model we provided. |
| Impact | Publication in BMC Medicine https://doi.org/10.1186/s12916-020-01893-3 This is an interdisciplinary collaboration including clinicians from multiple specialties and informaticians/statisticans. |
| Start Year | 2020 |
| Description | NEWS2 - COVID19 international evaluation and improvement |
| Organisation | University College Hospital |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | We developed the evaluation protocol and proposed improvements to NEWS2. We performed the training and validation in King's College Hospital data and integrated the results from external sites. |
| Collaborator Contribution | All partners extracted and analysed their own data based on the model we provided. |
| Impact | Publication in BMC Medicine https://doi.org/10.1186/s12916-020-01893-3 This is an interdisciplinary collaboration including clinicians from multiple specialties and informaticians/statisticans. |
| Start Year | 2020 |
| Description | NEWS2 - COVID19 international evaluation and improvement |
| Organisation | University Hospital Southampton NHS Foundation Trust |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | We developed the evaluation protocol and proposed improvements to NEWS2. We performed the training and validation in King's College Hospital data and integrated the results from external sites. |
| Collaborator Contribution | All partners extracted and analysed their own data based on the model we provided. |
| Impact | Publication in BMC Medicine https://doi.org/10.1186/s12916-020-01893-3 This is an interdisciplinary collaboration including clinicians from multiple specialties and informaticians/statisticans. |
| Start Year | 2020 |
| Description | NEWS2 - COVID19 international evaluation and improvement |
| Organisation | University Hospitals Birmingham NHS Foundation Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | We developed the evaluation protocol and proposed improvements to NEWS2. We performed the training and validation in King's College Hospital data and integrated the results from external sites. |
| Collaborator Contribution | All partners extracted and analysed their own data based on the model we provided. |
| Impact | Publication in BMC Medicine https://doi.org/10.1186/s12916-020-01893-3 This is an interdisciplinary collaboration including clinicians from multiple specialties and informaticians/statisticans. |
| Start Year | 2020 |
| Description | NEWS2 - COVID19 international evaluation and improvement |
| Organisation | University Hospitals Bristol NHS Foundation Trust |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | We developed the evaluation protocol and proposed improvements to NEWS2. We performed the training and validation in King's College Hospital data and integrated the results from external sites. |
| Collaborator Contribution | All partners extracted and analysed their own data based on the model we provided. |
| Impact | Publication in BMC Medicine https://doi.org/10.1186/s12916-020-01893-3 This is an interdisciplinary collaboration including clinicians from multiple specialties and informaticians/statisticans. |
| Start Year | 2020 |
| Description | NEWS2 - COVID19 international evaluation and improvement |
| Organisation | Weston Area Health NHS Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | We developed the evaluation protocol and proposed improvements to NEWS2. We performed the training and validation in King's College Hospital data and integrated the results from external sites. |
| Collaborator Contribution | All partners extracted and analysed their own data based on the model we provided. |
| Impact | Publication in BMC Medicine https://doi.org/10.1186/s12916-020-01893-3 This is an interdisciplinary collaboration including clinicians from multiple specialties and informaticians/statisticans. |
| Start Year | 2020 |
| Description | NEWS2 - COVID19 international evaluation and improvement |
| Organisation | Wuhan Sixth Hospital |
| Country | China |
| Sector | Hospitals |
| PI Contribution | We developed the evaluation protocol and proposed improvements to NEWS2. We performed the training and validation in King's College Hospital data and integrated the results from external sites. |
| Collaborator Contribution | All partners extracted and analysed their own data based on the model we provided. |
| Impact | Publication in BMC Medicine https://doi.org/10.1186/s12916-020-01893-3 This is an interdisciplinary collaboration including clinicians from multiple specialties and informaticians/statisticans. |
| Start Year | 2020 |
| Title | Medichec Version 3 |
| Description | Medichec is an app and website that supports prescribing in dementia particularly, but with relevance to older adults more generally, by collating information on known adverse effects of prescribed medications. Version 3, to be released in the next few months, now covers central anticholinergic effects, sedation, dizziness/drowsiness, bleeding risk, hyponatraemia, constipation, and QTc prolongation. |
| Type | Support Tool - For Medical Intervention |
| Current Stage Of Development | Refinement. Clinical |
| Year Development Stage Completed | 2023 |
| Development Status | Under active development/distribution |
| Impact | Earlier versions of medichec are already accessed in all world regions and have become routine in many memory assessment services. |
| URL | https://medichec.com/ |
| Title | CogStack - an information retrieval and extraction platform |
| Description | The CogStack consists of a range of technologies designed to to support modern, open source healthcare analytics, including NLP, within the NHS |
| Type Of Technology | Software |
| Year Produced | 2018 |
| Open Source License? | Yes |
| Impact | CogStack is an information retrieval and extraction platform developed by researchers at the NIHR Maudsley Biomedical Research Centre. It implements best-of-breed enterprise search, natural language processing, analytics and visualisation technologies to unlock the health record and assist in clinical decision making and research. Electronic health record systems are often closed, proprietary and contain incomplete and unstructured data. The result is that the wealth of information potentially available within health records is often inaccessible and underused. CogStack implements new data mining techniques within NHS Trusts - specifically, the ability to search any clinical data source (unstructured and structured), and natural language processing (NLP) applications developed to automate information extraction of medical concepts. These tools allow clinical text to be searched for specific terms using simple or complex syntax, rapidly retrieving the data needed to answer complex queries such as "has this patient received any high cost treatments that have not been captured in their discharge summary?" or "provide me with patients with early onset Parkinson's disease". So far, over twelve million free text documents and over 250 million diagnostic results and reports have been processed within CogStack. The speed at which queries can be developed and results returned and refined is very powerful, for example allowing clinical trials to find and recruit patients who would otherwise have been difficult to locate. We are currently working with three NHS Foundation Trusts (South London and Maudsley, King's College Hospital, and University College London Hospitals) to implement this platform, resulting in lasting improvements to recruitment, business intelligence and research capabilities. |
| URL | https://ctiuk.org/projects/cogstack/ |
| 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. |
| Title | MedCATtrainer |
| Description | MedCATTrainer is an interface for building, improving and customising a given Named Entity Recognition and Linking (NER+L) model for biomedical domain text MedCATTrainer was presented at EMNLP/IJCNLP 2019 https://www.aclweb.org/anthology/D19-3024.pdf |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Open Source License? | Yes |
| Impact | MedCatTrainer in combination with Medcat is supporting multiple Trusts across a range of use cases including clinical coding, trial recruitment, alerting, audit research |
| URL | https://www.aclweb.org/anthology/D19-3024.pdf |
| Title | MedCat - Medical Concept Annotation Tool |
| Description | Medical Concept Annotation Tool. A simple tool for concept annotation from UMLS/SNOMED or any other source. |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Open Source License? | Yes |
| Impact | This tool is being used across multiple Trusts to help streamline coding, audit, trial recruitment, direct patient care (alerting) as we as research |
| URL | https://arxiv.org/abs/1912.10166 |
| Title | Medichec V2 |
| Description | Medichec V2 enhances the Medichec online platform and apps through including characterisation of medication by drowsiness and dizziness as recorded side-effects (in addition to central anticholinergic activity) |
| Type Of Technology | Webtool/Application |
| Year Produced | 2021 |
| Impact | Although only recently released, Medichec V2 is attracting increasing uptake in routine clinical practice. |
| URL | https://medichec.com/ |
| Title | MyHealthE |
| Description | A tool to track your child's progress throughout their treatment with Child and Adolescent Mental Health Services. MyHealthE comprises live-linkage of a software agent to the EHR system that identifies carers of child ADHD patients and enables a schedule of suitably targeted PROMS to be completed, analysed and reported to clinicians myhealthe.co.uk. |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Open Source License? | Yes |
| Impact | This has transformed the amount of follow up data that CAMH services have on NHS patients when in the community - >10 fold increase. Now been delivered at scale across SLaM CAMHS and two other NHS Trusts. |
| URL | https://www.slam.nhs.uk/our-services/camhs/get-involved/myhealthe/ |
| Title | RADAR-Base |
| Description | RADAR-base (Remote Assessment of Disease And Relapses) is an open source platform to leverage data from wearables and mobile technologies. The main focus of RADAR-base is seamless integration of data streams from various wearables to collect sensor data in real time and store, manage and share the collected data with researchers for retrospective analysis. RADAR-base provides both passive and active data collection via two applications. Passive data collection using passive remote monitoring technologies (pRMT) application. It includes real time monitoring of movement, location, audio, calls and texts, and app usage. Passive collection can be done by directly sending data from phone sensors or device sensor data through the (pRMT) app or device sensor data via cloud storage to RADAR-base or combination of these options. Active data collection using the active Remote Monitoring Technologies (aRMT) app, which includes the use of questionnaires that might ask patients about their mood, medication intake, or the severity of symptoms. All of the collected data can be extracted from the platform in structured formats. To conduct a remote monitoring study using RADAR-Base, you need to have a deployment of RADAR-base platform either in-house or in the cloud and integration of selection of devices you would like to use for your study. Once these are available, you can start enrolling participants with the help of our study management system called ManagementPortal. |
| Type Of Technology | Software |
| Year Produced | 2018 |
| Open Source License? | Yes |
| Impact | The RADAR-base community emerged from the IMI project RADAR-CNS, where a consortium of clinicians, developers, researchers, patient organizations and EFPIA partners joined forces to transform care by leveraging sensor data from wearable devices like fitness trackers and smartphones. The combination of passively collected physiological data with active self assessment via questionnaires and scheduled cognitive tests allows a comprehensive picture of the participant's health state. RADAR-CNS is attempting to evaluate the clinical value of sensor data for relapse prediction with the focus on three disorders of the central nervous system (CNS), epilepsy, multiple sclerosis and major depression disorder. It is now used in a range of projects including IMI, NIHR, WT, MRC |
| URL | http://radar-base.org |
| Title | SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research. |
| Description | SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research. Unlocking the data contained within both structured and unstructured components of electronic health records (EHRs) has the potential to provide a step change in data available for secondary research use, generation of actionable medical insights, hospital management, and trial recruitment. To achieve this, we implemented SemEHR, an open source semantic search and analytics tool for EHRs. |
| Type Of Technology | Software |
| Year Produced | 2018 |
| Open Source License? | Yes |
| Impact | SemEHR has been deployed at a number of UK hospitals, including the Clinical Record Interactive Search, an anonymized replica of the EHR of the UK South London and Maudsley National Health Service Foundation Trust, one of Europe's largest providers of mental health services. In 2 Clinical Record Interactive Search-based studies, SemEHR achieved 93% (hepatitis C) and 99% (HIV) F-measure results in identifying true positive patients. At King's College Hospital in London, as part of the CogStack program (github.com/cogstack), SemEHR is being used to recruit patients into the UK Department of Health 100 000 Genomes Project (genomicsengland.co.uk). The validation study suggests that the tool can validate previously recruited cases and is very fast at searching phenotypes; time for recruitment criteria checking was reduced from days to minutes. Validated on open intensive care EHR data, Medical Information Mart for Intensive Care III, the vital signs extracted by SemEHR can achieve around 97% accuracy. |
| URL | https://github.com/CogStack/SemEHR |
| Description | 'Bridging the gap between mental and physical health' featured in Health Care Tech |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | KCL study study for managing and preventing diabetes amongst mental health patients and CogStack reported in Health Tech World article "Bridging the gap between mental and physical health" https://www.htworld.co.uk/news/bridging-the-gap-between-mental-and-physical-health/ |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.htworld.co.uk/news/bridging-the-gap-between-mental-and-physical-health/ |
| Description | 'Trending' doctors' notes could help hospitals predict COVID-19 surges |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A new study, published today in Nature Digital Medicine, found that 'natural language processing' (NLP) of information routinely recorded by doctors-as part of patients' electronic health records-reveal vital trends that could help clinical teams forecast and plan for surges in patients. The researchers from King's College London, King's College Hospital NHS Foundation Trust (KCH), and Guy's and St Thomas' Hospital NHS Foundation Trust (GSTT), used NLP algorithms to translate the electronic notes made by doctors into a standardized, structured set of medical terms that could be analyzed by a computer. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://medicalxpress.com/news/2021-02-trending-doctors-hospitals-covid-surges.html |
| Description | A PPIE group set up to review COVID-19 pandemic relevant research using local data |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Patients, carers and/or patient groups |
| Results and Impact | A PPIE group was set up with approximately monthly meetings over at least a 6-month period now. The purpose has been to review data-derived work of particular relevance for the COVID-19 pandemic in local mental healthcare. |
| Year(s) Of Engagement Activity | 2020 |
| Description | A presentation on mental healthcare informatics to a Danish research group |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A presentation on mental healthcare data science and its opportunities and challenges to a large Danish research group and an invited wider audience. Lively discussion was stimulated. |
| Year(s) Of Engagement Activity | 2022 |
| Description | A presentation on mental healthcare informatics used to investigate loneliness post-pandemic |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | A presentation to the Royal College of Psychiatrists Faculty of Old Age Psychiatry congress showing how mental healthcare data science resources were used to investigate loneliness and its correlates before and during the COVID-19 pandemic. Well attended and a good discussion afterwards. |
| Year(s) Of Engagement Activity | 2022 |
| Description | A presentation to NHS England on COVID-19 deaths in mental healthcare |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | A presentation at a meeting convened to consider the mental healthcare impact of the COVID-19 pandemic with particular consideration at the time of vaccine prioritisation. |
| Year(s) Of Engagement Activity | 2020 |
| Description | A short animation explaining data linkage in healthcare |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | We worked with a commercial partner to produce a short animation explaining the importance of healthcare data linkages for research - this was an area of Mental Health Data Pathfinder activity and one which we felt was not adequately covered. The video was co-produced with mental health service stakeholder input and was posted on YouTube as well as hosted on our CRIS pages. The YouTube site indicates 999 views at the time of writing and we have had positive feedback from colleagues carrying out data linkages and requests for the link. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.youtube.com/watch?v=8T2Qus06xJk&t=26s |
| Description | A symposium on mental healthcare data science |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A chaired symposium, well-attended, at the European Psychiatric Association Section of Epidemiology and Social Psychiatry congress. Focused on mental healthcare data science, particularly that using electronic health records data, and stimulated lively discussion. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Article on Digitalhealth.net |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | A new open clinical trials discovery platform developed by University College London Hospitals NHS Foundation Trust (UCLH) is the first in the NHS to use structured clinical terminology to match available clinical trials to diagnosed conditions in patient's electronic medical records. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.digitalhealth.net/2019/08/uclh-launches-open-clinical-trial-discovery-platform/ |
| Description | Briefing meeting at the Innovation Task Force, EMA for the development of Digital Medicine |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | The objective of the ITF briefing meeting was to discuss scientific and regulatory topics relevant to the development of digital medicinal products and technologies complementing and reinforcing existing formal procedures. |
| Year(s) Of Engagement Activity | 2020 |
| Description | CLASS: The education, mental health and informatics interest group |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | The purpose was together a wide range of stakeholders interested in new methods of linking administrative and health data together to better track risk factors and outcomes for child and adolescent mental health disorders. Representatives from a range of research and policy active organisations came, we discussed a number of studies each were involved in or proposing, we discussed the methods used, interpretations of preliminary analyses. We currently organisation another meeting in Cambridg |
| Year(s) Of Engagement Activity | 2019 |
| Description | CogStack case study: Delivering value with digital technologies programme |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Digital technologies such as digital medicine, genomics, artificial intelligence and robotics have a huge potential to transform the delivery of healthcare. These technologies can empower patients to participate actively in their care, with a greater focus on wellbeing and prevention. They also support the prediction of individual disease risk and personalise the management of long-term conditions. The HFMA, supported by Health Education England, is delivering a 12-month programme of work to inc |
| Year(s) Of Engagement Activity | 2021 |
| Description | CogStack wins an Artificial Intelligence in Health and Care Award |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | Cogstack is an information retrieval, extraction and natural language processing platform developed by researchers at the NIHR Maudsley BRC and King's College Hospital in partnership with the University College London Hospitals NHS Foundation Trust BRC. This innovative technology uses artificial intelligence to reveal important data locked in patient's health records to support clinical decision making and healthcare research. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.kcl.ac.uk/news/cogstack-wins-an-artificial-intelligence-in-health-and-care-award |
| Description | Covid: South Asian hospital patients 'at greater risk of dying' featured in BBC News |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Study on increased risk of mortality from COVID among South Asian patients featured in BBC news, 9 Oct 2020: https://www.bbc.co.uk/news/health-54476259 |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.bbc.co.uk/news/health-54476259 |
| Description | Emerging Minds Network talk |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Increased awareness of issues facing child and adolescent public mental health, the pressures on current services, and possible digital strategies our group was using to address these. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.youtube.com/watch?v=tIDgIhaGUaY |
| Description | FNIH Biomarkers Consortium workshop on Remote Digital Monitoring for Medical Product Development |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | RADAR-MDD and RADAR-Base (part of IMI2 RADAR-CNS) were presented as a use case to the EMA Innovation Task Force and the FNIH Biomarkers Consortium workshop on Remote Digital Monitoring for Medical Product Development Aims: -Bring together diverse stakeholders in the field to reach consensus on the use of a single vocabulary that will be understood consistently in the regulatory context -Present and examine real case studies of remote monitoring in trials to highlight concepts where new vocabulary may be needed -Identify areas of high medical need that could be addressed using digital system technologies -Stakeholder alignment and application of an evidence-based framework for the use of digital health technologies for therapeutic research and development |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://fnih.org/what-we-do/biomarkers-consortium/programs/digitalmonitoring |
| Description | Featured in The Conversation and World Economic Forum |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | ACE-I and COVID study reported in World Economic Forum article "Digital diagnosis: Why teaching computers to read medical records could help against COVID-19" https://www.weforum.org/agenda/2020/10/machine-learning-ai-artificial-intelligence-computers-health-records-covid-19-coronavirus-pandemic/ Our work and NLP tools featured in The Conversation article https://theconversation.com/teaching-computers-to-read-health-records-is-helping-fight-covid-19-heres-how-147385 |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://theconversation.com/teaching-computers-to-read-health-records-is-helping-fight-covid-19-here... |
| Description | Filming for NHSX |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Undertaking filmed interview for NHSX that will go on their website and various publicity outlets. Describing our programmes of work around the analysis of electronic health records |
| Year(s) Of Engagement Activity | 2020 |
| Description | HDR UK Text Analytics Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | The HDR UK National Text Analytics Project, funded by Health Data Research UK (HDR UK) and led by Prof Richard Dobson and Dr Angus Roberts, is helping to build the UK's natural language processing (NLP) community for healthcare by making available shared tools, methods and datasets across the NHS, creating richer, more useful clinical information to improve healthcare. On 12 March 2021, more than 150 people from across the UK text analytics community came together to discuss challenges of accessing unstructured text for research, new opportunities, and see how existing text analytics and NLP data extraction tools could be used in their research. |
| Year(s) Of Engagement Activity | 2021 |
| Description | Health Data Science Conference |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Plenary Talk |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://coursesandconferences.wellcomegenomecampus.org/wp-content/uploads/2018/10/Health-Data-Scienc... |
| Description | Interdisciplinary workshop - titled "measurements of pupil wellbeing: the promises and pitfalls of automated survey approaches using mobile devices" |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Schools |
| Results and Impact | 60 school teachers, students, counsellors, education and health commissioners attended the event. We were then approached by schools willing to be pilot sites for our new mobile / web-based survey tool |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://maudsleylearning.com/courses/creating-a-mental-health-friendly-school-part-2/ |
| Description | Invited to contribute to Topol Review on the impact of technology on the future of mental health care |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Invited to contribute to Topol Review on the impact of technology on the future of mental health care |
| Year(s) Of Engagement Activity | 2018 |
| Description | Jointly leadership on the Genomics England EHR Clinical Interpretation Partnership (GeCIP) and on the Clinical Data and Life Course working group |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Developing the strategy for use of clinical data within Genomics England and the Genomics Medical Centre network |
| Year(s) Of Engagement Activity | 2018 |
| Description | Keynote at Major Digital Health Conference - NIHR MindTech MIC National Symposium 2020 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation showcased the work we had conducted to enable remote monitoring tools, to a wide audience of tech companies, mental health practitioners and policy makers. Good feedback on the tools demonstrated, and several health organisations contacted to establish further collaborations. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://vimeo.com/492539668 |
| Description | MEHNS Annual Research Day, Keynote Speaker |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | Delivered keynote at annual research day |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.aanmelder.nl/researchday/part_program |
| Description | Member of the Pfizer Use of Real World Data Advisory Group |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | The Data & Analytics work stream developed an enterprise wide strategy for Pfizer's use of Real World Data that subsequently led to the setting up of a Real World Data and Analytics function at Pfizer |
| Year(s) Of Engagement Activity | 2018 |
| Description | Member of the Roche's Alzheimer's Blood Biomarkers Advisory Group |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Add description |
| Year(s) Of Engagement Activity | 2018 |
| Description | Member of the Steering Committee of the UK Brain Banks Network |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | The Steering Committee has oversight of the UK Brain Banks Network and provides scientific and strategic advice to the Director.Members have expertise in a number of areas related to the Network's activities including: neuroscience and epidemiology; ethics and law; brain and tissue banking in the UK and Europe; and non-professional representation. Meetings are attended by observers from different charities, industry, the Human Tissue Authority and NC3Rs. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://mrc.ukri.org/research/facilities-and-resources-for-researchers/brain-banks/about-the-uk-brai... |
| Description | Mental health warning for children who missed lockdown homeschooling |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | A survey of parents of young people being treated for emotional and behavioural problems in London found that those who did not engage with education were twice as likely to experience a worsening of their condition compared to those who did take part in education |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.standard.co.uk/news/education/children-home-schooling-lockdown-mental-health-b919138.htm... |
| Description | NHS Tech Plan |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | CogStack work use as an exemplar in NHS tech plan |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://jointheconversation.scwcsu.nhs.uk/tech-plan |
| Description | NHS algorithm used to spot people most at risk of dying or being admitted to intensive care performs 'poorly' on Covid-19 patients, study finds |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | King's College London researchers studied how good the algorithm was at predicting the health outcomes of 1,276 Covid-19 patients admitted to hospital in March and April 2020. The algorithm has ben used for years and is endorsed by NHS England. It gives each patient a score which predicts how their condition will change. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.dailymail.co.uk/sciencetech/article-9168271/NHS-algorithm-used-spot-Covid-patients-risk-... |
| Description | NHSX Expo, Manchester, 2019 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | My group's work was presented at the NHSX AI Lab launch Sept 2019 in Manchester as part of the NHS Expo Conference as example of 'AI in action' |
| Year(s) Of Engagement Activity | 2019 |
| Description | NHSX report on AI |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | The CogStack platform was recognised as a flagship case study (the only software based case study) in the NHSX AI report (https://www.nhsx.nhs.uk/assets/NHSX_AI_report.pdf), NHS Tech Plan (https://jointheconversation.scwcsu.nhs.uk/tech-plan) |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.nhsx.nhs.uk/assets/NHSX_AI_report.pdf |
| Description | NIHR Digital Festival |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | The Digital Festival 2019 celebrates digital innovation across the NIHR and the people who make it happen. Hosted by the NIHR Clinical Research Network, the stellar Digital Festival 2019 line-up is set to include amazing showcasers sharing their stories of using digital to work in new ways, alongside leading digital innovators from across the NHS and Industry. There will be demos, workshops, awards and much more. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Patient group workshop |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Patients, carers and/or patient groups |
| Results and Impact | Patient oversight groups established at mutliple hospitals for the use of Text with EHRs for research |
| Year(s) Of Engagement Activity | 2020,2021 |
| Description | Patient group workshop around the use of EHRs for research |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Patients, carers and/or patient groups |
| Results and Impact | We undertook a small public consultation to inform and support the ethical approval and governance process for the use of a new information retrieval platform4 to use local EHRs for research. The consultation was advertised through existing patient and public involvement groups, volunteer lists and the hospital's member bulletin. Interested patients and family members were invited to attend one of two focus groups each lasting 2 hours. A total of 13 individuals attended the two focus groups with representation across 10 different clinical specialties and a range of services within the local hospital. Patients were invited to discuss: their views towards the use of de-identified data; the potential benefits of using hospital records for research; what might concern and what might reassure them; what information would be important for them to know if their data were to be used for research; what consent means to them; and how they feel about being approached to participate in research. Published here: http://dx.doi.org/10.1136/medethics-2018-105271 |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://dx.doi.org/10.1136/medethics-2018-105271 |
| Description | Presentation at National seminar to showcase Child and Adolescent Research conducted at KCL |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Supporters |
| Results and Impact | Was used to raise interest in the research activities of Child and Adolescent Department in relation to health informatics - a number of funders/ and local authority officers / policy makers were interested in work presented in relation to using Big Data resources to identify populations who were potentially under resourced by local services. Has led to further engagement with a Southwark, Lewisham and Lambeth local councils about how to further the use the research resources we have developed, to enhance public health intelligence. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Presentation on clinical informatics infrastructure related activity |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A presentation to a large and well-attended Chinese congress on findings derived from local clinical informatics infrastructure. |
| Year(s) Of Engagement Activity | 2021 |
| Description | Presentation on the use of AI methodologies in mental health research |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Third sector organisations |
| Results and Impact | This presentation contributed to advance Wellcome Trust understanding of the major challenges in using AI methodologies for mental health disorders and develop a funding strategy for the Wellcome Trust in this area |
| Year(s) Of Engagement Activity | 2018 |
| Description | Presentation to Oxford University - Child and Adolescent Mental Health Series |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | Participant feedback - gained greater understanding of the promises and pitfalls of building eCohorts and some of the selection bias related to non electronic/electronic method of symptom measurement. UofOxford interested in further collaborations. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://talks.ox.ac.uk/browse?count=20&start_date=2021-01-28&page=11 |
| Description | Presentation to a Data Linkage PPIE group |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Patients, carers and/or patient groups |
| Results and Impact | I presented an update on how data linkages within our informatics infrastructure have been used to investigate issues and questions arising from the first wave of the COVID-19 pandemic |
| Year(s) Of Engagement Activity | 2020 |
| Description | Presentation to the NIHR Policy Research Unit |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | An invited presentation on investigating the COVID-19 first wave impact on mental health services and the patients they serve. One of a series of talks aimed at enhancing stakeholder involvement. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Presentation to the Royal College of Psychiatrists South West Division |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | A presentation on the impact of the COVID-19 pandemic on mental healthcare drawing on the novel output supported by SLaM/KCL clinical informatics resources under my academic supervision. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Presentations at MQ Data Science congress |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Two presentations on local infrastructure developments and output during 2020 at national/international MQ Data Science meetings. A particular focus was on the COVID-19 pandemic and its impact on mental health issues, as well as the potential for data resources to assist in the wider response. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Providing content for Matt Hancock's keynote address to the Healthtech Alliance |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Matt Hancock wanted details of our EHR work and then described it in his keynote speech. I worked with his speech writer on the content |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.gov.uk/government/speeches/better-tech-not-a-nice-to-have-but-vital-to-have-for-the-nhs |
| Description | REFORM - Mental Health and AI report |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | This report examines the current landscape of data-driven technologies and their applications in mental healthcare, highlighting areas where these tools offer the most potential for the NHS and its patients. It discusses what makes mental health different from other areas of health, and the implications this has for the application of data-driven tools. It examines barriers to implementation, including the limited access to high-quality data and the need to build trust with patients and practitioners. Finally, it proposes ways to move forward. Going beyond the hype Mental health is undergoing a 'digital revolution'. While much focus in recent years has been placed on consumer-facing digital solutions, such as mental health apps, evidence of their effectiveness is lacking. In reality, the landscape of data-driven tools in mental health is much broader. A variety of tools and technologies are being piloted and deployed across all stages of the care pathway, from prevention through to monitoring, to support both individuals and populations. Capitalising on the opportunities offered by data-driven technologies will require NHS leaders to cut through the hype surrounding these technologies and build a greater understanding of where the biggest transformational benefits lie. Why mental health needs a different approach Mental health presents tensions and 'sensitivities' that create specific challenges for the application of data-driven technologies. Approaches to diagnosis and treatment must be nuanced and contextualised. People living with mental illness face discrimination and stigma, creating barriers to accessing high-quality care, as well as heightened concerns about how patient data is accessed. Capacity to give consent about data sharing in mental health cannot always be guaranteed, and special consideration needs to be given to ensuring data-driven technologies are used in a way that safeguards people's privacy and does not perpetuate discrimination at scale. What will this mean for the NHS and its patients Data-driven technologies are often hailed as a solution to the challenges facing mental health services. However, in the short-term their potential lies in relieving the pressure on mental health services by streamlining repetitive tasks and giving practitioners more time to spend on direct patient care. In the long-term, these tools could enable the better delivery of preventative and personalised care, by opening up new types of data collection and analysis to enhance understandings of mental health. Creating systemic change Realising the potential for data-driven technologies in mental healthcare depends on accessing robust and high-quality data. It will require the NHS to build a trustworthy system that meets the expectations of patients, healthcare professionals and the public. Efforts must also be directed towards improving current processes for capturing, analysing and sharing data in mental health. However, technology alone will not lead to better care. Delivering sustained change will require the NHS to translate data-driven insights into meaningful clinical interventions. This will hinge on NHS organisations' ability to assess their own readiness for change and consider the full range of factors impacting the long-term adoption and success of data-driven tools. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://reform.uk/sites/default/files/2019-07/Using%20data-driven%20technology%20to%20transform%20me... |
| Description | Scientifica Advisory Board of the Human-Behaviour Change Project |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | The Human Behaviour-Change Project (HBCP) is creating an online 'Knowledge System' that uses Artificial Intelligence, in particular Natural Language Processing and Machine Learning, to extract information from intervention evaluation reports to answer key questions about the evidence. It is a collaboration between behavioural scientists, computer scientists and system architects. There is strong engagement of the scientific community as the project evolves, with an International Advisory Board and peer review panels to comment on specific components. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Service user input to strategy |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Patients, carers and/or patient groups |
| Results and Impact | A meeting was held to gather service user views and priorities on CRIS work for the current COVID pandemic and beyond. This was valuable for informing strategy and has led to a number of research initiatives (e.g., subsequent algorithm development for long COVID ascertainment) |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.maudsleybrc.nihr.ac.uk/posts/2021/september/using-cris-to-map-the-impact-of-the-covid-19... |
| Description | Shelford Group AI meeting talk |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | The Shelford Group medical directors have identified artificial intelligence as a strategic priority for shared learning to accelerate adoption and inform national policy. This was a talk at their AI workshop |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://shelfordgroup.org/artifical-intelligence/ |
| Description | Spotlight on CogStack with Prof Richard Dobson and Dr James Teo |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | AI clinical coding technology CogStack promises a more efficient way to read and code patient health records, freeing up time and improving research. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://future.nhs.uk/AIVirtualHub/view?objectID=30417520 |
| Description | Talk at NHSX weekly stand up |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Talk to NHSX at their weekly standup |
| Year(s) Of Engagement Activity | 2019 |
| Description | Wellcome Trust AI in mental health advisory group meeting |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Wellcome Trust AI in mental health advisory group meeting. WT wanted to develop a strategy for funding of AI in mental health |
| Year(s) Of Engagement Activity | 2018 |
| Description | Will AI make clinicians redundant? Just the opposite |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Press release analysing the impact of CogStack |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://ai-med.io/opinion/will-ai-make-clinicians-redundant-just-the-opposite/ |
| Description | Yuezhou Zhang: Depression and Circadian Rhythm in mHealth |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | Predicting Depressive Symptom Severity Through Individuals' Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study |
| Year(s) Of Engagement Activity | 2021 |