Application of machine learning to discover new multimorbidity phenotypes associated with poorer outcomes
Lead Research Organisation:
Swansea University
Department Name: Institute of Life Science Medical School
Abstract
Multi-morbidity is a poorly defined concept in which people suffer from more than one ongoing condition at the same time. The true extend of multi-morbidity is difficult to assess as there is no agreed definition for reporting. However, analysis of prescribing for chronic conditions and simple counts of different illnesses show that multimorbidity is becoming more common and is associated with poorer outcomes, such as how long people stay in hospital or premature mortality. It would be helpful to identify factors that predate the development of different morbidities to help understand how morbidities develop, which ones are commonly associated with others, to better understand the effectiveness of health services and individual treatments and to identify opportunities to prevent or delay the onset of these conditions.
Because we know so little about the development of these conditions we propose to use new analytical approaches from computer science, known as machine learning, to identify previously hidden or unknown relationships between different conditions. We will use detailed information from the medical records of the 3 million people of Wales held in the Secure Anonymised Information Linkage (SAIL) system. SAIL is a privacy protecting system in which records that have been stripped of all personal identifiers can be used to understand the development of diseases.
We will use the availability of new data on the results of laboratory investigations, such as changes in blood chemistry, to see if these predict the onset of conditions. If we do find useful patterns we will provide this knowledge back to NHS organisations to allow them to improve their services and intervene earlier to protect people's health.
By bringing together routinely collected and epidemiologic data at scale, this proposal exploits the potential of the fast-developing UK health informatics environment. Our team includes a mixture of health service researchers, computer scientists, clinical doctors and members of the public who have helped develop this proposal and will continue to be involved in the research and its dissemination.
Because we know so little about the development of these conditions we propose to use new analytical approaches from computer science, known as machine learning, to identify previously hidden or unknown relationships between different conditions. We will use detailed information from the medical records of the 3 million people of Wales held in the Secure Anonymised Information Linkage (SAIL) system. SAIL is a privacy protecting system in which records that have been stripped of all personal identifiers can be used to understand the development of diseases.
We will use the availability of new data on the results of laboratory investigations, such as changes in blood chemistry, to see if these predict the onset of conditions. If we do find useful patterns we will provide this knowledge back to NHS organisations to allow them to improve their services and intervene earlier to protect people's health.
By bringing together routinely collected and epidemiologic data at scale, this proposal exploits the potential of the fast-developing UK health informatics environment. Our team includes a mixture of health service researchers, computer scientists, clinical doctors and members of the public who have helped develop this proposal and will continue to be involved in the research and its dissemination.
Technical Summary
We will exploit the most deeply phenotyped population e-cohort in the UK, created by HDRUK investment, containing detailed multi-sourced data on a 2.5M population with GP records in Wales from 2000-2020, augmented with demographic, multiple disease registry, hospital inpatient, outpatient data and laboratory results from 2007. No other part of the UK has this depth of records in a stable population with low levels of migration and loss to follow up.
Useful algorithms will be adopted by the NHS with tracking of intervention and subsequent impact.
Objectives
A. complete the most deeply phenotyped population e-cohort in the UK using existing data from the Secure Anonymised Information Linkage (SAIL) system augmented with Census data
B. apply innovative machine learning approaches to validate and refine clusters of conditions detected across the adult life course
C. use cohort data to identify mechanistic pathways underlying disease combinations
D. report on prevalence, social patterning and health inequalities using small area, census, taxation, and household composition data
E. identify potential biomarkers predicting individual and multiple morbidities through longitudinal trajectories of values in routinely collected laboratory data
F. undertake a comprehensive analysis of variables used in established morbidity/comorbidity indices with multiple correspondence analysis and factor analysis of mixed data to identify clusters
G. provide new variables for linkage to the 20,000 Welsh participants in UK Biobank, 7,000 in Airwave and 15,000+ in Healthwise Wales and use algorithms for 40+ cohorts in DPUK for further studies into the genetics of shared mechanistic pathways
H. contribute data on incidence, prevalence and burden to the Global Burden of Diseases
I. contribute validated algorithms into NHS systems to allow for early NHS adoption, supporting precision medicine and impact measurement
Useful algorithms will be adopted by the NHS with tracking of intervention and subsequent impact.
Objectives
A. complete the most deeply phenotyped population e-cohort in the UK using existing data from the Secure Anonymised Information Linkage (SAIL) system augmented with Census data
B. apply innovative machine learning approaches to validate and refine clusters of conditions detected across the adult life course
C. use cohort data to identify mechanistic pathways underlying disease combinations
D. report on prevalence, social patterning and health inequalities using small area, census, taxation, and household composition data
E. identify potential biomarkers predicting individual and multiple morbidities through longitudinal trajectories of values in routinely collected laboratory data
F. undertake a comprehensive analysis of variables used in established morbidity/comorbidity indices with multiple correspondence analysis and factor analysis of mixed data to identify clusters
G. provide new variables for linkage to the 20,000 Welsh participants in UK Biobank, 7,000 in Airwave and 15,000+ in Healthwise Wales and use algorithms for 40+ cohorts in DPUK for further studies into the genetics of shared mechanistic pathways
H. contribute data on incidence, prevalence and burden to the Global Burden of Diseases
I. contribute validated algorithms into NHS systems to allow for early NHS adoption, supporting precision medicine and impact measurement
Planned Impact
Impact summary
The beneficiaries of this research are:
1. People with multiple medical conditions that are being sub-optimally treated by partially effective therapies, or those that cause significant side effects
2. General population
3. Clinicians
4. NHS management
5. Research community
6. Government and NHS policy community
7. UK industry and competitiveness
Specific benefits to these groups are listed below:
Better insight into clustering of morbidities, their causes and the development of better targeted therapies will provide significant benefits to a wide range of beneficiaries through:
A. Fewer people whose lives are blighted by the impact of their morbidities and side effects of sub-optimal therapies will improve their quality of life and creativity, reduce demands on the NHS and for long term social care, increase the proportion of the population able to continue as active contributors to wealth generation (through income tax, reduced call on early pensions, enhanced economic productivity)
B. As better understanding of the causes of multimorbidity are identified and preventive strategies are put in place fewer people should develop these conditions at earlier ages leading to improved population health, wellbeing and productivity. Fewer members of the public will be required to undertake premature carer roles.
C. Improved sustainability and productivity of the NHS through reduced demand, freeing resources to be used for anticipatory and elective care with proven benefits (e.g. earlier identification of cancer and joint replacements that prolong independence and economic activity) and the ability of the NHS to cope better with surges in demand (e.g. influenza). The creation of a total population platform for understanding the development of multimorbidity will also provide the basis for testing novel service redesign and innovative policy approaches to improving NHS efficiency and effectiveness.
D. The development of deeply phenotyped cohorts of patients available to the wider research community through trusted privacy protecting environments will stimulate further research into the aetiology, biological and social determinants of illnesses and support and enhance UK Life Sciences global competitiveness in developing new therapies and approaches to management using artificial intelligence and machine learning. This project will lead to significant advances in multidisciplinary approaches in methodology and application to challenging 'Big data' research questions.
E. The sharing of data and methodological approaches across the two principle sites and NHS organisations (and subsequently through HDR UK and other initiatives) will increase the provision of skill sets and skilled people to the UK workforce.
The beneficiaries of this research are:
1. People with multiple medical conditions that are being sub-optimally treated by partially effective therapies, or those that cause significant side effects
2. General population
3. Clinicians
4. NHS management
5. Research community
6. Government and NHS policy community
7. UK industry and competitiveness
Specific benefits to these groups are listed below:
Better insight into clustering of morbidities, their causes and the development of better targeted therapies will provide significant benefits to a wide range of beneficiaries through:
A. Fewer people whose lives are blighted by the impact of their morbidities and side effects of sub-optimal therapies will improve their quality of life and creativity, reduce demands on the NHS and for long term social care, increase the proportion of the population able to continue as active contributors to wealth generation (through income tax, reduced call on early pensions, enhanced economic productivity)
B. As better understanding of the causes of multimorbidity are identified and preventive strategies are put in place fewer people should develop these conditions at earlier ages leading to improved population health, wellbeing and productivity. Fewer members of the public will be required to undertake premature carer roles.
C. Improved sustainability and productivity of the NHS through reduced demand, freeing resources to be used for anticipatory and elective care with proven benefits (e.g. earlier identification of cancer and joint replacements that prolong independence and economic activity) and the ability of the NHS to cope better with surges in demand (e.g. influenza). The creation of a total population platform for understanding the development of multimorbidity will also provide the basis for testing novel service redesign and innovative policy approaches to improving NHS efficiency and effectiveness.
D. The development of deeply phenotyped cohorts of patients available to the wider research community through trusted privacy protecting environments will stimulate further research into the aetiology, biological and social determinants of illnesses and support and enhance UK Life Sciences global competitiveness in developing new therapies and approaches to management using artificial intelligence and machine learning. This project will lead to significant advances in multidisciplinary approaches in methodology and application to challenging 'Big data' research questions.
E. The sharing of data and methodological approaches across the two principle sites and NHS organisations (and subsequently through HDR UK and other initiatives) will increase the provision of skill sets and skilled people to the UK workforce.
Publications
Dhafari TB
(2024)
A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods.
in Journal of clinical epidemiology
Zghebi SS
(2020)
Development and validation of the DIabetes Severity SCOre (DISSCO) in 139 626 individuals with type 2 diabetes: a retrospective cohort study.
in BMJ open diabetes research & care
Rafferty J
(2021)
Journal of Biomedical Informatics 2021
in Ranking Sets of Morbidities using Hypergraph Centrality
Tsvetanova A
(2021)
Missing data was handled inconsistently in UK prediction models: a review of method used.
in Journal of clinical epidemiology
Mulick AR
(2022)
Novel multimorbidity clusters in people with eczema and asthma: a population-based cluster analysis.
in Scientific reports
Harper G
(2019)
Quantifying multi-morbidity in an ethnically-diverse inner city population: the health burden of households
in International Journal of Population Data Science
Rafferty J
(2021)
Ranking sets of morbidities using hypergraph centrality.
in Journal of biomedical informatics
Lyons J
(2023)
Trajectories in chronic disease accrual and mortality across the lifespan in Wales, UK (2005-2019), by area deprivation profile: linked electronic health records cohort study on 965,905 individuals.
in The Lancet regional health. Europe
Lyons J
(2020)
Validating the QCOVID risk prediction algorithm for risk of mortality from COVID-19 in the adult population in Wales, UK.
in International journal of population data science
Description | Member of the Bevan Commission Working Group |
Geographic Reach | Local/Municipal/Regional |
Policy Influence Type | Participation in a guidance/advisory committee |
Description | Member of the Welsh Government COVID-19 Technical Advisory Group |
Geographic Reach | National |
Policy Influence Type | Participation in a guidance/advisory committee |
Description | A multidisciplinary research network to tackle multimorbidity |
Amount | £37,000 (GBP) |
Funding ID | P123221 |
Organisation | University of Manchester |
Sector | Academic/University |
Country | United Kingdom |
Start | 01/2019 |
End | 12/2020 |
Description | Assembling the data jigsaw: powering robust population research in MSK disease |
Amount | £1,300,000 (GBP) |
Organisation | Nuffield Foundation |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2020 |
End | 12/2023 |
Description | Controlling COVID-19 through enhanced population surveillance and intervention (Con-COV): a platform approach |
Amount | £833,046 (GBP) |
Funding ID | MR/V028367/1 |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 07/2020 |
End | 07/2021 |
Description | Data phenotyping longitudinal multimorbidity trajectories in cardiovascular disease: a statistical machine learning approach using nationwide electronic healthcare records |
Amount | £301,553 (GBP) |
Organisation | Alan Turing Institute |
Sector | Academic/University |
Country | United Kingdom |
Start | 12/2019 |
End | 11/2022 |
Description | Senior Research Leaders Discretionary Award |
Amount | £60,000 (GBP) |
Funding ID | SRL2022-25-09 |
Organisation | Health and Care Research Wales |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2023 |
Title | Creation of the Wales multi-morbidity e-cohort |
Description | Development of a population-wide e-cohort, derived utilising data linkage techniques and including multi-sourced anonymised routine health and demographic data held within the SAIL Databank. The e-cohorts will be used to characterise multi-morbidity and its clustering, determinants and outcomes (association with mortality and healthcare utilisation). Building the e-cohort has involved multiple disciplines across organisations within the UK, and will be harmonised and compared with data on individuals across the UK. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | The e-cohort allows researchers to apply statistical analyses and machine learning methods to evaluate multi-morbidity clustering and determinants at a population level. |
Description | Novo Nordisk collaboration for advancing understanding of multimorbidity in metabolic disease |
Organisation | Novo Nordisk |
Country | Denmark |
Sector | Private |
PI Contribution | Novo Nordisk is a Danish multinational pharmaceutical company headquartered in Bagsværd, Denmark, with production facilities in eight countries, and affiliates or offices in 5 countries. Novo Nordisk manufactures and markets pharmaceutical products and services specifically diabetes care medications and devices. Novo Nordisk is also involved with hemostasis management, growth hormone therapy and hormone replacement therapy. The company makes several drugs under various brand names, including Levemir, Tresiba, NovoLog, Novolin R, NovoSeven, NovoEight and Victoza. Novo Nordisk employs more than 40,000 people globally, and markets its products in 180 countries. |
Collaborator Contribution | Novo Nordisk works with the University of Manchester and the University of Oxford on innovation in statistical machine learning for advancing understanding of multimorbidity and polypharmacy in metabolic disease. |
Impact | None so far. |
Start Year | 2020 |
Description | 28/01/2020 Big Data and Public Health. Sandra Macara BMA Memorial Lecture |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Industry/Business |
Results and Impact | PRESENTATION TO BIG DATA AND PUBLIC HEALTH, SANDRA MACARA MEMORIAL LECTURE IN CARDIFF |
Year(s) Of Engagement Activity | 2020 |
Description | Academia Europaea Induction - Trusted Research Environments, Munich |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Academia Europaea Induction - Trusted Research Environments, Munich |
Year(s) Of Engagement Activity | 2023 |
Description | Alzheimer's Disease Data Initiative Working Group |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Washington and London |
Year(s) Of Engagement Activity | 2018,2019 |
Description | Big data and public health |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Sanda Macara BMA Memorial Lecture, Cardiff |
Year(s) Of Engagement Activity | 2020 |
Description | Conducting research through globally accessible trusted research environments, University of Sydney |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Conducting research through globally accessible trusted research environments, University of Sydney, 11/11/22 |
Year(s) Of Engagement Activity | 2022 |
Description | Consumer Panel for Data Linkage, Development of Wales Multi-morbidity Cohort |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Swansea |
Year(s) Of Engagement Activity | 2019 |
Description | Consumer Panel meeting - Januray 2021 |
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 | Topics covered; • UCL - AIM project proposal • Public Health Wales - The mental health in shielded children and children living in shielded households • HDR UK - How has COVID-19 impacted non-COVID-19 healthcare service use and provision in Wales? • Examining associations between complications of pregnancy and incident cardiovascular disease |
Year(s) Of Engagement Activity | 2021 |
Description | Consumer Panel meeting - June 2020 |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Patients, carers and/or patient groups |
Results and Impact | 16 members of the public who meet on a quarterly basis to provide public persepctive on health data research projects. This meeting covered the topics of; PPI/E impact pathway for the BREATHE Hub Contact Tracing App deliberation project PPI/E plan |
Year(s) Of Engagement Activity | 2020 |
Description | Consumer Panel meeting - September 2020 |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Patients, carers and/or patient groups |
Results and Impact | 16 members of the public who meet on a quarterly basis to provide public persepctive on health data research projects. This meeting covered the topics of; Agriculture community wellbeing study Summary of work carried out by HDR UK during the pandemic Health Foundation; Networked Data Labs Wales - discussion on topic selection |
Year(s) Of Engagement Activity | 2020 |
Description | Creating a national approach: the SAIL Databank |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Joint UK-Switzerland Research Symposium, Zurich |
Year(s) Of Engagement Activity | 2019 |
Description | Data linkage research- opportunities for enhanced UK/Australia collaboration |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Data linkage research- opportunities for enhanced UK/Australia collaboration, University of New South Wales, 08/11/22 |
Year(s) Of Engagement Activity | 2022 |
Description | Dementias Platform UK: Data Portal |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation to MRC Oversight Board, London |
Year(s) Of Engagement Activity | 2019 |
Description | Development of a collaboration with NHS Wales organisations and Chicago Medical School to develop a system to evaluate the utility of artificial intelligence/machine learning to derive additional information from medical images to support research and ultimately efficient health service delivery and patient outcomes. |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Development of a collaboration with NHS Wales organisations and Chicago Medical School to develop a system to evaluate the utility of artificial intelligence/machine learning to derive additional information from medical images to support research and ultimately efficient health service delivery and patient outcomes. Presentation to SAIL Consumer Panel. |
Year(s) Of Engagement Activity | 2022 |
Description | International Collaborative Efforts on Injury Statistics and Methods 2016 |
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 | Research officer attended the biennial International Collaborative Efforts on Injury Statistics and Methods meeting, which includes injury epidemiologist experts from around the World to present and discuss new research and findings and provides a platfom to recieve feedback from leading experts in the field. The meeting provides an opportunity for individuals to collaborate and identify key areas for future research to improve survival and quality of life following injury. |
Year(s) Of Engagement Activity | 2016 |
Description | International Collaborative Efforts on Injury Statistics and Methods 2018 |
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 | Research officer attended the biennial International Collaborative Efforts on Injury Statistics and Methods meeting, which includes injury epidemiologist experts from around the World to present and discuss new research and findings and provides a platfom to recieve feedback from leading experts in the field. The meeting provides an opportunity for individuals to collaborate and identify key areas for future research to improve survival and quality of life following injury. |
Year(s) Of Engagement Activity | 2018 |
Description | Introduction to SAIL - Rural Health and Care Wales Stakeholder Group |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Industry/Business |
Results and Impact | Introduction to SAIL - Rural Health and Care Wales Stakeholder Group |
Year(s) Of Engagement Activity | 2023 |
Description | Making game changing improvements in the health of patients and populations |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Adelaide University, Australia |
Year(s) Of Engagement Activity | 2018 |
Description | Meeting with CMO Wales, Dr Frank Atherton, on big data and public health evaluation |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Swansea |
Year(s) Of Engagement Activity | 2019 |
Description | NIHR AI for Multiple Long Term Conditions Research Support Facility. Panel Discussion on Public and Patient, Involvement and Engagement |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | NIHR AI for Multiple Long Term Conditions Research Support Facility. Panel Discussion on Public and Patient, Involvement and Engagement. 16/09/22 |
Year(s) Of Engagement Activity | 2022 |
Description | Neuroimaging symposium - DPUK Data Portal, Sophia Gardens, Cardiff |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Neuroimaging symposium - DPUK Data Portal, Sophia Gardens, Cardiff |
Year(s) Of Engagement Activity | 2023 |
Description | Overview of Trusted Research Environment globally, Dementias Platform Australia, University of New South Wales |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Overview of Trusted Research Environment globally, Dementias Platform Australia, University of New South Wales, 08/11/22 |
Year(s) Of Engagement Activity | 2022 |
Description | PPI/E MuRMUR bid - public working group |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Public/other audiences |
Results and Impact | A regular public working group which has been established as part of the MuRMUR (Multi-morbidity) project. The group meet on a regular basis to provide public perspective on the projects under the MuRMUR banner. |
Year(s) Of Engagement Activity | 2020,2021 |
Description | Population Research Resources Workshop (ESRC, MRC, Wellcome) |
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 | London |
Year(s) Of Engagement Activity | 2019 |
Description | Presentation to Public Health Wales trainees |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Study participants or study members |
Results and Impact | SAIL databank, presentation to Public Health Wales trainees |
Year(s) Of Engagement Activity | 2023 |
Description | Presented at the ADRN Conference 2017 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Research Officer presentated at the ADRN Conference 2017 to promote new research carried out by the funding organisation and to provide a platform to highlight research to individuals from various backgrounds (academia, clinicans, students, various organising bodies). |
Year(s) Of Engagement Activity | 2017 |
Description | Presented at the ADRN Conference 2018 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Research Officer presentated at the ADRN Conference 2018 to promote new research carried out by the funding organisation and to provide a platform to highlight research to individuals from various backgrounds (academia, clinicans, students, various organising bodies). |
Year(s) Of Engagement Activity | 2018 |
Description | Presented at the World Safety Conference 2016 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Research officer attended and presented at World Safety Conference 2016 in Tempere, Finland, which included thousands of attendees from all over the World and from varying backgrounds (academia, clinicans, students etc.). Research was presented on a new healthcare service for Wales and provided a platform to promote the research and gain feedback and discussion from individuals working in similar industries or similar expertise. |
Year(s) Of Engagement Activity | 2016 |
Description | Proposal for a Population Data Science Research Institute (PDRSI) - presentation to Swansea University faculties |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Other audiences |
Results and Impact | Proposal for a Population Data Science Research Institute (PDRSI) - presentation to Swansea University faculties 13/12/22 |
Year(s) Of Engagement Activity | 2022 |
Description | Royal College of Physicians. Cardiovascular, metabolic and kidney disease: crosscutting science and best practice in multimorbidity |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | London |
Year(s) Of Engagement Activity | 2019 |
Description | Saving the NHS through Data Science |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Health and Care Research Wales conference, Cardiff |
Year(s) Of Engagement Activity | 2018 |
Description | Statistical Methods for Covid-19: Mortality Statistics - Wales (Royal Statistical Society) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Statistical Methods for Covid-19: Mortality Statistics - Wales. Presentation to Royal Statistical Society four nation meeting on COVID-19 mortality, 23/03/22 |
Year(s) Of Engagement Activity | 2022 |
Description | Statistical Methods for Covid-19: Mortality Statistics - Wales (Welsh Government) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Policymakers/politicians |
Results and Impact | Statistical Methods for Covid-19: Mortality Statistics - Wales. Presentation to Welsh Government COVID-19 Technical Advisory Group, 25/03/22 |
Year(s) Of Engagement Activity | 2022 |
Description | Swansea Volunteer Management Network Meeting |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Third sector organisations |
Results and Impact | Around 30 volunteer managers from a wide range of third sector organisations from across the Swansea area meet on a regular basis to support one another and share good practice, this is a reccuring bimonthly meeting. In the October 2020 meeting, Lynsey Cross delivered a presentation on the PPI/E work which is carried out by HDR UK. From this presentation a number of working relationships have been forged and a new member of the public has applied to become a member of the Consumer Panel. |
Year(s) Of Engagement Activity | 2020,2021 |
Description | Swansea Volunteer Management Network Meeting |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Third sector organisations |
Results and Impact | Around 30 volunteer managers from a wide range of third sector organisations from across the Swansea area meet on a regular basis to support one another and share good practice, this is a reccuring bimonthly meeting. In the October 2020 meeting, Lynsey Cross delivered a presentation on the PPI/E work which is carried out by HDR UK. From this presentation a number of working relationships have been forged and a new member of the public has applied to become a member of the Consumer Panel. |
Year(s) Of Engagement Activity | 2021 |
Description | Symposium on Big Data in Healthcare. Distributed team science: real world and cohort data |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Partnership between Weizmann Institute of Science and Nature Medicine, Tel Aviv |
Year(s) Of Engagement Activity | 2019 |
Description | Technology Sector Symposium, Developing a Health Data Research Platform |
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 | London |
Year(s) Of Engagement Activity | 2019 |
Description | Update for SAIL Consumer Panel |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Other audiences |
Results and Impact | Update for SAIL Consumer Panel. 29/06/22 |
Year(s) Of Engagement Activity | 2022 |
Description | Using an advanced routine healthcare data systems to improve population health, clinical care and inform policy: the COVID-19 pandemic and beyond |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Using an advanced routine healthcare data systems to improve population health, clinical care and inform policy: the COVID-19 pandemic and beyond. Maurice Bloch Lecture, Glasgow University, 26/01/22. https://youtu.be/2B4Ak0YuOng |
Year(s) Of Engagement Activity | 2022 |
URL | https://youtu.be/2B4Ak0YuOng |
Description | Weizmann Institute of Science, Big Data Meeting, Tel-Aviv |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Tel-Aviv |
Year(s) Of Engagement Activity | 2019 |
Description | Working with Swansea University on the ARDC Secure eResearch Platform, Monash University |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Working with Swansea University on the ARDC Secure eResearch Platform, Monash University, 15/11/22 |
Year(s) Of Engagement Activity | 2022 |