LEAP (Leadership Engagement Acceleration & Partnership) - an EPSRC Digital Health Hub
Lead Research Organisation:
University of Bristol
Department Name: Electrical and Electronic Engineering
Abstract
The LEAP Digital Health Hub is a partnership of the South West's leading Universities, more than 20 supporting companies nationally, many NHS Trusts & Health Boards, 4 social care organisations, the region's Local Authorities, the West of England Academic Health Science Network (AHSN), the award-winning business incubator SETsquared and Health Data Research UK (HDRUK).
The 50+ partners that shaped this bid ranged from the research director for a provider of residential care homes, to a chief clinical information officer working in an intensive care unit; from the founder of a femtech startup to the head of the healthcare analytics team for a multinational consulting firm. In workshops through June and July 2022 they told us that Digital Health is as much about design and user experience as health data analysis; it is motivated by patient benefit but must also consider viable business models for industry.
All Hub partners will have access to dedicated physical office space in central Bristol alongside the EPSRC Centre for Doctoral Training (CDT) in Digital Health and Care. There, they will train, network and research together across disciplines and sectors. They will engage with partners across the UK- and beyond. Recognising that UK breakthroughs in Digital Health may be equally (or more) impactful abroad, the Hub's new "Global Digital Health Network" links the Hub to Digital Health expertise from the US, China, India, Nigeria and Australia (sections B1.2, B5).
The Hub's unique Skills and Knowledge Programme is designed to address the professional training needs of industry, health and social care providers and academia within the two Themes of Transforming Health & Care Beyond the Hospital and Optimising Disease Prediction, Diagnosis & Intervention. This is proposed to be the world's largest Digital Health taught programme.
The Hub's Fellowship programme will comprise 5 different schemes to develop future leaders, within not only academia, industry and the health/care sector, but also within the community - as patients or informal carers.
The Hub's Research programme focusses on pre-competitive research within the Hub's two thematic areas of Transforming Health and Care Beyond the Hospital and Optimising Disease Prediction, Diagnosis and Intervention. The Hub will add value by surfacing health priorities from its partner health and social care organisations, working with the West of England AHSN and also with Hub members such as Chief Nursing Information Officers, with charities, social care providers, patient and community groups.
The 50+ partners that shaped this bid ranged from the research director for a provider of residential care homes, to a chief clinical information officer working in an intensive care unit; from the founder of a femtech startup to the head of the healthcare analytics team for a multinational consulting firm. In workshops through June and July 2022 they told us that Digital Health is as much about design and user experience as health data analysis; it is motivated by patient benefit but must also consider viable business models for industry.
All Hub partners will have access to dedicated physical office space in central Bristol alongside the EPSRC Centre for Doctoral Training (CDT) in Digital Health and Care. There, they will train, network and research together across disciplines and sectors. They will engage with partners across the UK- and beyond. Recognising that UK breakthroughs in Digital Health may be equally (or more) impactful abroad, the Hub's new "Global Digital Health Network" links the Hub to Digital Health expertise from the US, China, India, Nigeria and Australia (sections B1.2, B5).
The Hub's unique Skills and Knowledge Programme is designed to address the professional training needs of industry, health and social care providers and academia within the two Themes of Transforming Health & Care Beyond the Hospital and Optimising Disease Prediction, Diagnosis & Intervention. This is proposed to be the world's largest Digital Health taught programme.
The Hub's Fellowship programme will comprise 5 different schemes to develop future leaders, within not only academia, industry and the health/care sector, but also within the community - as patients or informal carers.
The Hub's Research programme focusses on pre-competitive research within the Hub's two thematic areas of Transforming Health and Care Beyond the Hospital and Optimising Disease Prediction, Diagnosis and Intervention. The Hub will add value by surfacing health priorities from its partner health and social care organisations, working with the West of England AHSN and also with Hub members such as Chief Nursing Information Officers, with charities, social care providers, patient and community groups.
Organisations
- University of Bristol (Collaboration, Lead Research Organisation)
- TORBAY AND SOUTH DEVON NHS FOUNDATION TRUST (Collaboration)
- University of Bath (Collaboration)
- Velindre NHS Trust (Collaboration)
- ANEURIN BEVAN UNIVERSITY HEALTH BOARD (Collaboration)
- THE ROYAL WOLVERHAMPTON NHS TRUST (Collaboration)
- University of the West of England (Collaboration)
- NHS Wales Informatics Service (Collaboration)
- Sirona care & health (Collaboration)
- Royal United Hospital (Collaboration)
- Great Ormond Street Hospital (GOSH) (Collaboration)
- UNIVERSITY HOSPITALS BRISTOL AND WESTON NHS FOUNDATION TRUST (Collaboration)
- University of Exeter (Collaboration)
- Bristol Health Partners (Collaboration)
- Ulster University (Collaboration)
- Living With (Collaboration)
- North Bristol NHS Trust (Collaboration)
- The Care Forum Bristol (Collaboration)
- UCB SA (Collaboration)
- We The Curious (Collaboration)
- Royal Cornwall Hospitals NHS Trust (Collaboration)
- United Kingdom Research and Innovation (Collaboration)
- Cardiff University (Collaboration)
- NHS Bristol, North Somerset and South Gloucestershire ICB (Collaboration)
- University of Plymouth (Collaboration)
- Cardiff and Vale University Health Board (Collaboration)
- Royal United Hospital Bath NHS Trust (Collaboration)
- PLYMOUTH HOSPITALS NHS TRUST (Collaboration)
- UNIVERSITY OF BIRMINGHAM (Collaboration)
- The Inspire Foundation (Collaboration)
- Bristol Health Partners (Project Partner)
- Milbotix (Project Partner)
- Doctrin (Project Partner)
- University of Port Harcourt (Project Partner)
- Mayden (Project Partner)
- DDM Health (Project Partner)
- BJSS Limited (Project Partner)
- University Hospitals Bristol and Weston, NHS Foundation Trust (Project Partner)
- SETsquared Partnership (Project Partner)
- Graphnet Health Limited (Project Partner)
- St Monica's Trust (Project Partner)
- PUBLIC HEALTH WALES (Project Partner)
- Kinneir Dufort (Project Partner)
- West of England Combined Authority (Project Partner)
- West of England AHSN Limited (Project Partner)
- LV=GI (Project Partner)
- South Western Ambulance Service (Project Partner)
- ZINC VENTURES LIMITED (Project Partner)
- Bristol City Council (Project Partner)
- Health Education England (Project Partner)
- Elvie (Project Partner)
- Tunstall Healthcare (UK) Ltd (Project Partner)
- Human Data Sciences (Project Partner)
- SOMERSET NHS FOUNDATION TRUST (Project Partner)
- Oracle Cerner (Project Partner)
- Kooth plc (Project Partner)
- Ally Health (Project Partner)
- North Somerset Council (Project Partner)
- Aneurin Bevan Health Board (Project Partner)
- HCI Digital (Project Partner)
- Aspedan (Project Partner)
- Social Care Wales (Project Partner)
- DEVON PARTNERSHIP NHS TRUST (Project Partner)
- Torbay and South Devon NHS Fdn Trust (Project Partner)
- Proximie (Project Partner)
- NHS Bristol NSom/SGlos ICB CCIO (Project Partner)
- VELINDRE NHS TRUST (Project Partner)
- Beijing Institute of Technology (Project Partner)
- Solcom Limited (Project Partner)
- Royal United Hospital Bath NHS Fdn Trust (Project Partner)
- Okko Health (Project Partner)
- Holland and Barrett (Project Partner)
- Sirona Care & Health (CIC) (Project Partner)
- Huma (Project Partner)
- Biostress (Project Partner)
- Age UK (Project Partner)
- Dorothy House Hospice Care (Project Partner)
- Developing Health and Independence (Project Partner)
- Lindus Health (Project Partner)
- MICROSOFT LIMITED (Project Partner)
- St. John's Medical College (Project Partner)
- ROYAL DEVON UNIVERSITY HEALTHCARE NHS FOUNDATION TRUST (Project Partner)
- Federation for Informatics Professionals (Project Partner)
- BATH AND NORTH EAST SOMERSET COUNCIL (Project Partner)
- Sparck (Project Partner)
- Emm Technology Ltd (Project Partner)
- Northwestern Medicine (Project Partner)
- Monash University (Project Partner)
Publications
Brice S
(2025)
Survey of ambulance usage by patients in metropolitan and provincial cities in Indonesia for Emergency Medical Services utilization
in International Journal of Emergency Services
Brice SN
(2024)
Close-Up on Ambulance Service Estimation in Indonesia: Monte Carlo Simulation Study.
in Interactive journal of medical research
Bryant E
(2025)
Co-developing an evidence-based AI Virtual Assistant for young people with ADHD: Recommendations from Experts by Lived Experience
in Journal of Medical Internet Research
Palmer G
(2025)
On the optimization of heterogeneous ambulance fleet allocations
in IMA Journal of Management Mathematics
Shaw H
(2025)
The DECIDE Framework: Describing Ethical Choices in Digital-Behavioral-Data Explorations
in Advances in Methods and Practices in Psychological Science
Shi M
(2025)
Looking for the crystal ball in unscheduled care: a systematic literature review of the forecasting process
in Health Care Management Science
Thompson L
(2025)
A digital intervention for capturing the real-time health data needed for epilepsy seizure forecasting: a feasibility study protocol (the ATMOSPHERE study)
in JMIR Research Protocols
Williams E
(2026)
An optimisation framework for resource allocation in palliative and end-of-life care.
in Scientific reports
| Description | 1) Regional collaborations deliver meaningful research for local communities We built a region-wide community linking universities, NHS and social-care providers, charities, industry and people with lived experience. Through sandpits, workshops and networking, partners identified real local health and care challenges and formed new research teams to address them. This has created an enduring collaboration platform that helps ensure research questions reflect local priorities and routes to real-world use. What we learned: some partnerships need longer to mature, ethics and contracting (especially with NHS organisations) can slow progress, and industry engagement can be uneven, insights could shape a future Hub's support and timelines. 2) Direct community involvement is highly valuable, but needs careful guidance and support Public and patient involvement brought new questions andinsights. Participants reported feeling heard and confident to stay involved, including under-represented groups. To make this work well, we must provide clear facilitation, accessibility and inclusive design (e.g., venue navigation, live captioning, scheduling, childcare considerations, and simple digital access). We ran the Festival of Digital Health in Summer 2025 and feedback showed learners want practical, activity-based learning and cross-sector connections, so we shifted to a more agile training offer (podcasts, regional workshops, short YouTube content, modular online courses). From this we learned that finding appropriate groups, time constraints and variable PPIE experience among researchers require ongoing guidance and training. 3) Researchers-in-Residence de-risk projects that lack specialist expertise LEAP's Researchers-in-Residence provided in-house capability across human-computer interaction, AI/data science and software development. Research projects funded by LEAP could request up to 20% of a Researchers time for consultation or secondment, enabling rapid technical problem-solving, filling expertise gaps, accelerating project start-up and improving research quality. This model reduced risk for teams new to certain methods and improved the feasibility of early-stage ideas. Research project leads were overwhelmingly positive about this scheme. 4) A new research-review process improved transparency, timeliness and inclusivity We piloted two review innovations when making our research project call: a paid peer review and public and patient comment form. For the peer review, each proposal received three reviews; reviewers were paid £150 for returns within two weeks, achieving 96% on-time reviews. Administrative checks, reviewer assignment and an all-day panel were completed within one month of call close. Further, public-facing summaries invited 436 comments from patient and public networks. These were synthesised for the panel to inform funding decisions. Together these approaches improved review quality, broadened participation, increased trust in research and sped-up the review process. The process is effective but administratively intensive, so future calls will budget dedicated support. |
| Exploitation Route | The outcomes of this hub will be taken forward by partners across academia, health and social care, industry and community organisations. The regional collaborations established through the Hub have created stable relationships that can now be used to co design future research proposals, service innovation projects and funding bids that address the unmet needs identified by local communities. NHS and social care partners are well placed to apply these findings to improve pathways, shape digital health priorities and inform real world implementation. The learning from direct community involvement, including improved facilitation methods, inclusive design practices and accessible engagement models, can now be adopted by other research teams and institutions to strengthen co production and make projects more relevant to those they serve. The Researchers in Residence model has demonstrated its value in de risking early stage ideas and supporting projects lacking specialist expertise. Universities, NHS partners and industry collaborators can use this approach to accelerate feasibility testing, improve design quality and support interdisciplinary research. Finally, the new peer review processes piloted through the Hub (paid peer review and open commenting) provide practical templates for more transparent, timely and inclusive funding decision making that can be replicated by other funders and research programmes. |
| Sectors | Digital/Communication/Information Technologies (including Software) Education Healthcare |
| Description | Through extensive engagement with patients, carers, young people, older adults and under represented communities, the Hub has increased public understanding of digital health issues and improved confidence in engaging with research. The Community Innovator Scheme has had particularly meaningful impact, attracting strong public interest and resulting in six co designed projects involving innovators, academics and industry partners. This has generated new routes for lived experience insight to shape research priorities and has increased motivation for communities to remain involved in ongoing digital health work. The award has also influenced the wider research system. Lived experience feedback revealed new research priorities, including unmet needs. The Hub's open review process, which generated 436 public comments, improved the transparency and quality of funding decisions and is informing future grant applications and collaborations. There are also signs of economic and translational impact. Flexible funding enabled rapid prototyping with SMEs and technology developers, while the Festival of Digital Health brought together academia, healthcare and industry, strengthening networks and positioning the region as an emerging centre for digital health innovation. Engagement with healthcare professionals provided clearer articulation of practical needs, such as prediction tools that integrate into clinical workflows, helping steer future applied research. Overall, the award has improved public engagement with digital health, strengthened regional capability, and laid strong foundations for future innovation and cross sector collaboration. |
| First Year Of Impact | 2025 |
| Description | Explainable Artificial Intelligence methods for the Bristol Medical School |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Our work on Explainable AI directly informed new postgraduate teaching materials used within the Bristol Medical School's Health Data Science programme. This has enhanced the training of researchers and practitioners in explainable machine-learning methods, improving local workforce capability in digital health and data-driven clinical practice. |
| Description | I contributed to the NHS England ADHD Taskforce report. |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Impact | The taskforce reports, published in 2025 have had a wide ranging impact on understanding of the issues and opportunities facing NHS England in relation to treatment and support for ADHD. I am working with colleagues who are exploring priority actions emerging from the report. |
| URL | https://www.england.nhs.uk/2025/11/nhs-england-responds-to-adhd-taskforce-final-report/ |
| Description | Our mathematical modelling work influenced Welsh Government decisions around mental health services. |
| Geographic Reach | National |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| Description | Supporting Digital Good |
| Geographic Reach | Europe |
| Policy Influence Type | Contribution to a national consultation/review |
| Impact | The report led government departments to recognise that there is no strong causal evidence linking smartphone or social-media use to population-level harms in children. This prompted a shift in policy practice, with DSIT now prioritising investment in better causal research, improved digital-usage data in UK cohorts, and the co-development of research agendas with young people to inform future online-safety policy. |
| URL | https://www.gov.uk/government/publications/understand-the-impact-of-smartphones-and-social-media-on-... |
| Description | UKRI Rapid Evidence Synthesis |
| Geographic Reach | National |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| Description | ICURe Explore 12 week programme - CMW |
| Amount | £30,000 (GBP) |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | |
| Description | Interpretable Machine Learning For Placenta Pathology Screening (KO - aligned with LEAP funded project) |
| Amount | £114,970 (GBP) |
| Organisation | Great Ormond Street Hospital Children's Charity (GOSHCC) |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | |
| Description | MRC Impact Accelerator Consultancy Award (aligned with LEAP funded project) |
| Amount | £800 (GBP) |
| Funding ID | MR/X502856_1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2025 |
| End | 11/2025 |
| Description | Mental Health Research Group at The University of Lincoln (aligned with LEAP funded project) |
| Amount | £10,960,000 (GBP) |
| Funding ID | NIHR505643 |
| Organisation | National Institute for Health and Care Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2026 |
| End | 04/2031 |
| Description | NIHR Advanced Fellowship (aligned with LEAP funded project) |
| Amount | £1,300,000 (GBP) |
| Organisation | National Institute for Health and Care Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2025 |
| End | 08/2030 |
| Description | UKRI ICURe AI-Focused Discover programme (aligned with LEAP funded project) |
| Amount | £2,500 (GBP) |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2025 |
| End | 01/2026 |
| Description | University of Bristol Public Engagement award |
| Amount | £1,000 (GBP) |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2025 |
| End | 11/2025 |
| Title | DECIDE paper |
| Description | Behavioral sciences now routinely rely on digital data, supported by digital technologies and platforms. This has resulted in an abundance of new ethical challenges for researchers and ethical-review boards. Several contemporary high-profile cases emphasize that ethical issues often surface after the research is published, once harm has already occurred. Consequently, implementing safeguards in digital-behavioral research is often reactionary and fails to adequately prevent harm. In response, we propose the DECIDE (Describing Ethical Choices in Digital-Behavioural Data Explorations) framework, which encourages ethical reflections and discussions throughout all stages of the research process. The framework presents several questions designed to help researchers view their work from new perspectives and uncover ethical issues they might not have anticipated. We provide several resources to support researchers with their ethical reflections and discussions, including (a) the DECIDE framework spreadsheet, (b) the DECIDE desktop app, (c) information documents, and (d) flowcharts. In this article, we provide suggestions on how to use each resource to encourage proactive discussions of how ethical issues may apply to specific research contexts. By promoting continuous ethical considerations, safeguards can be put in place throughout the research project, even after research commencement. The DECIDE framework shifts ethical reflection away from being reactive toward a more proactive endeavor, reducing the risk of harm and the misuse of digital-behavioral data. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2025 |
| Provided To Others? | Yes |
| Impact | It is already being used in Industry and by other researchers |
| URL | https://journals.sagepub.com/doi/10.1177/25152459251361013 |
| Title | We have developed a card/board game as part of the loneliness project |
| Description | We ran five co-production workshops with neurodiverse young people, which aimed to understand what neurodivergent young people would find helpful to reduce loneliness. This game was co-developed to help encourage casual conversations in a way that is fun. |
| Type Of Material | Technology assay or reagent |
| Year Produced | 2025 |
| Provided To Others? | No |
| Impact | These will come following publication. We are now seeking follow on funding. |
| Title | ATMOSPHERE seizure forecasting algorithm |
| Description | A machine learning pipeline for the seizure forecasting classifier |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2025 |
| Provided To Others? | No |
| Impact | We are working towards this being integrated into a medical device application. |
| Title | ATMOSPHERE wearable dataset |
| Description | Time series data of seizures and seizure precipitants, collected via a smartwatch and smartphone app. Participants: adults with a confirmed diagnosis of epilepsy, recruited via community pathways Length of data collection: Up to 6 months of data per participant. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2025 |
| Provided To Others? | No |
| Impact | This has not been published as an open access dataset. We may do so in the future once we have competed data collection and if we are able to anonymise the dataset. |
| Title | Children's perceptions about the role of robots in society, and how to use them to enhance social interactions |
| Description | Data collected from workshops in the form of written notes and discussions. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2026 |
| Provided To Others? | No |
| Impact | No notable impact yet. |
| Title | Ear and watch-based physiological measures compared against ground truths during a stress-inducing protocol |
| Description | We have collected physiological data from smart earphones (OpenEarable), a smartwatch (Empatica), and gold standard measures for electrodermal activity, heart rate, respiration rate, and temperature sensing. We are currently finalising the dataset but currently have 31 participants (aiming for 40), which we intend to publish with the research paper output once the analysis has been completed. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2026 |
| Provided To Others? | No |
| Impact | None yet |
| Title | Mathematical Models for Capacity Planning of Health Services |
| Description | Integer and mixed-integer programming models were developed in multiple shapes and forms. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2025 |
| Provided To Others? | Yes |
| Impact | Using mathematical modelling, we were successful in analysing capacity shortages in the health system in the UK and Indonesia. |
| URL | https://academic.oup.com/imaman/article/36/4/691/8190187 |
| Description | ATmOSPhErE Artificial intelligence To Optimise Seizure Prediction to Empower people with Epilepsy: moving from prototype to a minimum viable product |
| Organisation | Royal United Hospital Bath NHS Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | LEAP funded research project led by the University of Bristol. Bristol supplying significant in-kind funding from Co-Is and PI. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | University partners are leading on multiple interdisciplinary work packages. Neurostanics are providing expertise and Co-I time. NHS trusts are providing clinical and R&D expertise. NIHR Health Tech RC providing commercialisation and device regulations support. Garmin offering software developer kit. Exeter providing in-kind funding for Co-I. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | ATmOSPhErE Artificial intelligence To Optimise Seizure Prediction to Empower people with Epilepsy: moving from prototype to a minimum viable product |
| Organisation | The Royal Wolverhampton NHS Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | LEAP funded research project led by the University of Bristol. Bristol supplying significant in-kind funding from Co-Is and PI. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | University partners are leading on multiple interdisciplinary work packages. Neurostanics are providing expertise and Co-I time. NHS trusts are providing clinical and R&D expertise. NIHR Health Tech RC providing commercialisation and device regulations support. Garmin offering software developer kit. Exeter providing in-kind funding for Co-I. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | ATmOSPhErE Artificial intelligence To Optimise Seizure Prediction to Empower people with Epilepsy: moving from prototype to a minimum viable product |
| Organisation | Ulster University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project led by the University of Bristol. Bristol supplying significant in-kind funding from Co-Is and PI. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | University partners are leading on multiple interdisciplinary work packages. Neurostanics are providing expertise and Co-I time. NHS trusts are providing clinical and R&D expertise. NIHR Health Tech RC providing commercialisation and device regulations support. Garmin offering software developer kit. Exeter providing in-kind funding for Co-I. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | ATmOSPhErE Artificial intelligence To Optimise Seizure Prediction to Empower people with Epilepsy: moving from prototype to a minimum viable product |
| Organisation | University of Birmingham |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project led by the University of Bristol. Bristol supplying significant in-kind funding from Co-Is and PI. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | University partners are leading on multiple interdisciplinary work packages. Neurostanics are providing expertise and Co-I time. NHS trusts are providing clinical and R&D expertise. NIHR Health Tech RC providing commercialisation and device regulations support. Garmin offering software developer kit. Exeter providing in-kind funding for Co-I. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | ATmOSPhErE Artificial intelligence To Optimise Seizure Prediction to Empower people with Epilepsy: moving from prototype to a minimum viable product |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project led by the University of Bristol. Bristol supplying significant in-kind funding from Co-Is and PI. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | University partners are leading on multiple interdisciplinary work packages. Neurostanics are providing expertise and Co-I time. NHS trusts are providing clinical and R&D expertise. NIHR Health Tech RC providing commercialisation and device regulations support. Garmin offering software developer kit. Exeter providing in-kind funding for Co-I. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Co-designing technological solutions to loneliness with at-risk populations |
| Organisation | The Care Forum Bristol |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | LEAP funded research project led by the University of Bristol. Also supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | University of Bath Co-Is collaborating around prototype development. The Care Forum providing user group recruitment and support in-kind, plus workshop facilitation through a procurement contract. PWFL providing in-kind expertise, plus a subcontracted software developer. |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | Co-designing technological solutions to loneliness with at-risk populations |
| Organisation | University of Bath |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project led by the University of Bristol. Also supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | University of Bath Co-Is collaborating around prototype development. The Care Forum providing user group recruitment and support in-kind, plus workshop facilitation through a procurement contract. PWFL providing in-kind expertise, plus a subcontracted software developer. |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | Co-designing technological solutions to loneliness with at-risk populations |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project led by the University of Bristol. Also supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | University of Bath Co-Is collaborating around prototype development. The Care Forum providing user group recruitment and support in-kind, plus workshop facilitation through a procurement contract. PWFL providing in-kind expertise, plus a subcontracted software developer. |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | Co-developing a multilingual AI-powered virtual assistant, to increase engagement with the CareADHD app for young people aged 16-25 with ADHD: reducing health inequalities during transition. |
| Organisation | Torbay and South Devon NHS Foundation Trust |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call and supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS partners providing domain expertise, Digital Futures programme at Torbay NHS Trust providing significant digital programming and technological development work as in-kind contribution. Exeter supplying significant in-kind funding from Co-Is and PI. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Co-developing a multilingual AI-powered virtual assistant, to increase engagement with the CareADHD app for young people aged 16-25 with ADHD: reducing health inequalities during transition. |
| Organisation | University of Exeter |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call and supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS partners providing domain expertise, Digital Futures programme at Torbay NHS Trust providing significant digital programming and technological development work as in-kind contribution. Exeter supplying significant in-kind funding from Co-Is and PI. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Co-developing the SmartADHD Chatbot, working with Digital Futures Lab, Torbay and South Devon NHS Foundation Trust |
| Organisation | Torbay and South Devon NHS Foundation Trust |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We have worked together to co-develop and initially evaluate an AI enabled Chatbot for young people with ADHD. To help them access curated and trustworthy healthcare information about living with ADHD. |
| Collaborator Contribution | The Digital Futures Lab provided digital expertise and clinical perspectives, to help guide the project. They also provided all the necessary software licences and AI programming expertise (David Hallett) to create the chatbot prototype. They have supported dissemination of findings, attended joint trainings and are co-authors on publications (in press / in preparation) |
| Impact | "We do not have accepted publications to share. We have presented on this work in various settings. 1. LEAP Networking event, 4th Feb 2025 (El Bryant) 2. University of Exeter, Children and Young People's research collaboration, monthly meeting, 9th Mary 2025 (El Bryant) 3. Elizabeth Blackwell Institute Workshop, University of Bristol, 6th May 2025 (El Bryant) 4. LEAP showcase, May 2025, Recorded presentation (El Bryant) 5. LEAP blog, Sept 2025 6. MindTech Digital Youth, Risk, resilience, and the road to intervention, County Hall London, 13th Nov 2025, Chatbot demonstration (Anna Price)" |
| Start Year | 2024 |
| Description | FAL-VITAE Falls and Activity Lexicon: using Video and IMU Technology for remote Assessment and Evaluation |
| Organisation | Bristol Health Partners |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | LEAP funded research project - University of Bristol is a collaborator and University of Exeter is the lead. Bristol providing some Co-I funding in-kind. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | This project combines leading expertise in IMUs, machine learning (Exeter, Bath) and computer vision (Bristol) for assessing physical activity of older people with a unique technological solution (JockeyCam), to obtain comprehensive information from ecologically valid scenarios (Plymouth, NHS, Bath) on movements, environmental objects and interactions, direction of visual attention and fall dynamics (Exeter, Bristol, Bath). Bristol Health Partners contributing Senior Project Manager time and involvement in considering the translational potential and pathways for the project work, as well as community engagement and increasing diversity of the participant population. Exeter and Plymouth providing in-kind part-funding for Co-Is and PI. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | FAL-VITAE Falls and Activity Lexicon: using Video and IMU Technology for remote Assessment and Evaluation |
| Organisation | University of Bath |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project - University of Bristol is a collaborator and University of Exeter is the lead. Bristol providing some Co-I funding in-kind. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | This project combines leading expertise in IMUs, machine learning (Exeter, Bath) and computer vision (Bristol) for assessing physical activity of older people with a unique technological solution (JockeyCam), to obtain comprehensive information from ecologically valid scenarios (Plymouth, NHS, Bath) on movements, environmental objects and interactions, direction of visual attention and fall dynamics (Exeter, Bristol, Bath). Bristol Health Partners contributing Senior Project Manager time and involvement in considering the translational potential and pathways for the project work, as well as community engagement and increasing diversity of the participant population. Exeter and Plymouth providing in-kind part-funding for Co-Is and PI. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | FAL-VITAE Falls and Activity Lexicon: using Video and IMU Technology for remote Assessment and Evaluation |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project - University of Bristol is a collaborator and University of Exeter is the lead. Bristol providing some Co-I funding in-kind. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | This project combines leading expertise in IMUs, machine learning (Exeter, Bath) and computer vision (Bristol) for assessing physical activity of older people with a unique technological solution (JockeyCam), to obtain comprehensive information from ecologically valid scenarios (Plymouth, NHS, Bath) on movements, environmental objects and interactions, direction of visual attention and fall dynamics (Exeter, Bristol, Bath). Bristol Health Partners contributing Senior Project Manager time and involvement in considering the translational potential and pathways for the project work, as well as community engagement and increasing diversity of the participant population. Exeter and Plymouth providing in-kind part-funding for Co-Is and PI. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | FAL-VITAE Falls and Activity Lexicon: using Video and IMU Technology for remote Assessment and Evaluation |
| Organisation | University of Exeter |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project - University of Bristol is a collaborator and University of Exeter is the lead. Bristol providing some Co-I funding in-kind. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | This project combines leading expertise in IMUs, machine learning (Exeter, Bath) and computer vision (Bristol) for assessing physical activity of older people with a unique technological solution (JockeyCam), to obtain comprehensive information from ecologically valid scenarios (Plymouth, NHS, Bath) on movements, environmental objects and interactions, direction of visual attention and fall dynamics (Exeter, Bristol, Bath). Bristol Health Partners contributing Senior Project Manager time and involvement in considering the translational potential and pathways for the project work, as well as community engagement and increasing diversity of the participant population. Exeter and Plymouth providing in-kind part-funding for Co-Is and PI. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | FAL-VITAE Falls and Activity Lexicon: using Video and IMU Technology for remote Assessment and Evaluation |
| Organisation | University of Plymouth |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project - University of Bristol is a collaborator and University of Exeter is the lead. Bristol providing some Co-I funding in-kind. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | This project combines leading expertise in IMUs, machine learning (Exeter, Bath) and computer vision (Bristol) for assessing physical activity of older people with a unique technological solution (JockeyCam), to obtain comprehensive information from ecologically valid scenarios (Plymouth, NHS, Bath) on movements, environmental objects and interactions, direction of visual attention and fall dynamics (Exeter, Bristol, Bath). Bristol Health Partners contributing Senior Project Manager time and involvement in considering the translational potential and pathways for the project work, as well as community engagement and increasing diversity of the participant population. Exeter and Plymouth providing in-kind part-funding for Co-Is and PI. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Improving the usability, accessibility, and inclusivity of digital dyadic cardiac rehabilitation for people living with heart failure |
| Organisation | Plymouth Hospitals NHS Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS partner providing domain expertise and patient recruitment. HCI providing expertise and co-design contributions, subcontract for software development consultancy. SAHA providing expertise and stakeholder recruitment |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Improving the usability, accessibility, and inclusivity of digital dyadic cardiac rehabilitation for people living with heart failure |
| Organisation | University of Exeter |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS partner providing domain expertise and patient recruitment. HCI providing expertise and co-design contributions, subcontract for software development consultancy. SAHA providing expertise and stakeholder recruitment |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Novel Wearable-based Stress Detection Using Earables and Smartwatches |
| Organisation | Royal United Hospital Bath NHS Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call |
| Collaborator Contribution | NHS partner providing clinical expertise and patient recruitment. TOBI providing expertise and specialist hardware through procurement contract |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Novel Wearable-based Stress Detection Using Earables and Smartwatches |
| Organisation | University of Bath |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call |
| Collaborator Contribution | NHS partner providing clinical expertise and patient recruitment. TOBI providing expertise and specialist hardware through procurement contract |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | PRIDE: Planning & Resource Integration in Digital Environments - The Case of Frail, Elderly Patients, and Palliative Care |
| Organisation | Aneurin Bevan University Health Board |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call |
| Collaborator Contribution | NHS partners providing data, domain expertise. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | PRIDE: Planning & Resource Integration in Digital Environments - The Case of Frail, Elderly Patients, and Palliative Care |
| Organisation | Cardiff University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call |
| Collaborator Contribution | NHS partners providing data, domain expertise. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | PRIDE: Planning & Resource Integration in Digital Environments - The Case of Frail, Elderly Patients, and Palliative Care |
| Organisation | Cardiff and Vale University Health Board |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call |
| Collaborator Contribution | NHS partners providing data, domain expertise. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | PRIDE: Planning & Resource Integration in Digital Environments - The Case of Frail, Elderly Patients, and Palliative Care |
| Organisation | NHS Bristol, North Somerset and South Gloucestershire ICB |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call |
| Collaborator Contribution | NHS partners providing data, domain expertise. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | PRIDE: Planning & Resource Integration in Digital Environments - The Case of Frail, Elderly Patients, and Palliative Care |
| Organisation | NHS Wales Informatics Service |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call |
| Collaborator Contribution | NHS partners providing data, domain expertise. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | PRIDE: Planning & Resource Integration in Digital Environments - The Case of Frail, Elderly Patients, and Palliative Care |
| Organisation | Velindre NHS Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call |
| Collaborator Contribution | NHS partners providing data, domain expertise. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | PRISM: Prioritising Allocation of Scarce Perinatal Pathology Resource with ML-Assisted Placenta Pathology Screening |
| Organisation | Cardiff University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project led by the University of Bristol. Bristol supplying significant in-kind funding from Co-Is and PI. |
| Collaborator Contribution | NHS partners providing data, domain expertise. Cardiff University Co-I collaborating around HCI and user research |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | PRISM: Prioritising Allocation of Scarce Perinatal Pathology Resource with ML-Assisted Placenta Pathology Screening |
| Organisation | Great Ormond Street Hospital (GOSH) |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | LEAP funded research project led by the University of Bristol. Bristol supplying significant in-kind funding from Co-Is and PI. |
| Collaborator Contribution | NHS partners providing data, domain expertise. Cardiff University Co-I collaborating around HCI and user research |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | PRISM: Prioritising Allocation of Scarce Perinatal Pathology Resource with ML-Assisted Placenta Pathology Screening |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project led by the University of Bristol. Bristol supplying significant in-kind funding from Co-Is and PI. |
| Collaborator Contribution | NHS partners providing data, domain expertise. Cardiff University Co-I collaborating around HCI and user research |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | Predicting Rheumatoid Arthritis Disease Activity Study - PRADA Study |
| Organisation | Living With |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | LEAP funded Solo Fellowship. NHS fellow hosted by the University of Bristol. |
| Collaborator Contribution | This collaboration brings together Dr Hamann's (NHS) clinical experience of innovative digital development and implementation in healthcare with the wealth of academic and industry experience from Professor Clark, the Jean Golding Institute, AI4CI and Living With Ltd. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Predicting Rheumatoid Arthritis Disease Activity Study - PRADA Study |
| Organisation | North Bristol NHS Trust |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded Solo Fellowship. NHS fellow hosted by the University of Bristol. |
| Collaborator Contribution | This collaboration brings together Dr Hamann's (NHS) clinical experience of innovative digital development and implementation in healthcare with the wealth of academic and industry experience from Professor Clark, the Jean Golding Institute, AI4CI and Living With Ltd. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Predicting Rheumatoid Arthritis Disease Activity Study - PRADA Study |
| Organisation | United Kingdom Research and Innovation |
| Department | AI for Collective Intelligence |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded Solo Fellowship. NHS fellow hosted by the University of Bristol. |
| Collaborator Contribution | This collaboration brings together Dr Hamann's (NHS) clinical experience of innovative digital development and implementation in healthcare with the wealth of academic and industry experience from Professor Clark, the Jean Golding Institute, AI4CI and Living With Ltd. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Predicting Rheumatoid Arthritis Disease Activity Study - PRADA Study |
| Organisation | University of Bristol |
| Department | Jean Golding Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded Solo Fellowship. NHS fellow hosted by the University of Bristol. |
| Collaborator Contribution | This collaboration brings together Dr Hamann's (NHS) clinical experience of innovative digital development and implementation in healthcare with the wealth of academic and industry experience from Professor Clark, the Jean Golding Institute, AI4CI and Living With Ltd. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Predicting Rheumatoid Arthritis Disease Activity Study - PRADA Study |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded Solo Fellowship. NHS fellow hosted by the University of Bristol. |
| Collaborator Contribution | This collaboration brings together Dr Hamann's (NHS) clinical experience of innovative digital development and implementation in healthcare with the wealth of academic and industry experience from Professor Clark, the Jean Golding Institute, AI4CI and Living With Ltd. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Predicting patient readmission risk to support early discharge decisions |
| Organisation | NHS Bristol, North Somerset and South Gloucestershire ICB |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | LEAP funded Twin Fellowship. NHS fellow twinned with University of Bristol researcher and hosted at UOB |
| Collaborator Contribution | NHS providing domain expertise and onsite evaluation at ICB. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Predicting patient readmission risk to support early discharge decisions |
| Organisation | Sirona care & health |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | LEAP funded Twin Fellowship. NHS fellow twinned with University of Bristol researcher and hosted at UOB |
| Collaborator Contribution | NHS providing domain expertise and onsite evaluation at ICB. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Predicting patient readmission risk to support early discharge decisions |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded Twin Fellowship. NHS fellow twinned with University of Bristol researcher and hosted at UOB |
| Collaborator Contribution | NHS providing domain expertise and onsite evaluation at ICB. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Robots to enhance child to child social interactions |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Organisation of multiple engagement events with children and for researchers to engage children in research. |
| Collaborator Contribution | The University of Bristol provided mentoring value to the project with previous expertise in the co-design of robots. We The Curious provided a space at We The Curious installations for our demonstration which was visited by around 2,000 visitors during 6 months. We The Curious organised periodic workshops with children, collected data and transcribed. |
| Impact | "A workshop with children to increase the awareness of capaabilities of of off-the-shelf robots for children, and highlighting their limitations. Installation in the Bristol Science Museum We The Curious, with the same objectives as the previous point, visited by around 2,000 visitors in a span of 6 months." |
| Start Year | 2025 |
| Description | Robots to enhance child to child social interactions |
| Organisation | We The Curious |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Organisation of multiple engagement events with children and for researchers to engage children in research. |
| Collaborator Contribution | The University of Bristol provided mentoring value to the project with previous expertise in the co-design of robots. We The Curious provided a space at We The Curious installations for our demonstration which was visited by around 2,000 visitors during 6 months. We The Curious organised periodic workshops with children, collected data and transcribed. |
| Impact | "A workshop with children to increase the awareness of capaabilities of of off-the-shelf robots for children, and highlighting their limitations. Installation in the Bristol Science Museum We The Curious, with the same objectives as the previous point, visited by around 2,000 visitors in a span of 6 months." |
| Start Year | 2025 |
| Description | Simulation for Coordination of Orthopaedic Patient Elective Services (SCOPE) |
| Organisation | University of Exeter |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project - this project does not include University of Bristol but is funded by LEAP's first research call |
| Collaborator Contribution | £6,000 in-kind, NHS partners providing data, domain expertise |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Synthetic data generation for privacy-preserving prediction modelling in critical care |
| Organisation | North Bristol NHS Trust |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project led by the University of Bristol. Also supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS partners providing data, domain expertise. University of Exeter Co-I contributing expertise in the legal and ethical issues around data privacy in relation to synthetic data protection. Exeter providing in-kind funding for Co-I. |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | Synthetic data generation for privacy-preserving prediction modelling in critical care |
| Organisation | North Bristol NHS Trust |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provided insights into the intensive care unit data being analysed and artificial intelligence models being used for predictive tasks. Created a Python library to generate synthetic data based on existing medical data (still ongoing). I have attended multiple events for the synthetic generation of data for health applications, reporting back to the team. |
| Collaborator Contribution | The Royal Cornwall Hospital NHS Foundation Trust has been analysing ICU data and training predictive models. Other partners have provided feedback in the process. |
| Impact | Python library to generate synthetic data based on the statistics of a real intensive care unit dataset. |
| Start Year | 2025 |
| Description | Synthetic data generation for privacy-preserving prediction modelling in critical care |
| Organisation | Royal Cornwall Hospitals NHS Trust |
| Department | Royal Cornwall Hospital (Treliske) |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | Provided insights into the intensive care unit data being analysed and artificial intelligence models being used for predictive tasks. Created a Python library to generate synthetic data based on existing medical data (still ongoing). I have attended multiple events for the synthetic generation of data for health applications, reporting back to the team. |
| Collaborator Contribution | The Royal Cornwall Hospital NHS Foundation Trust has been analysing ICU data and training predictive models. Other partners have provided feedback in the process. |
| Impact | Python library to generate synthetic data based on the statistics of a real intensive care unit dataset. |
| Start Year | 2025 |
| Description | Synthetic data generation for privacy-preserving prediction modelling in critical care |
| Organisation | Royal Cornwall Hospitals NHS Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | LEAP funded research project led by the University of Bristol. Also supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS partners providing data, domain expertise. University of Exeter Co-I contributing expertise in the legal and ethical issues around data privacy in relation to synthetic data protection. Exeter providing in-kind funding for Co-I. |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | Synthetic data generation for privacy-preserving prediction modelling in critical care |
| Organisation | University Hospitals Bristol and Weston NHS Foundation Trust |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | LEAP funded research project led by the University of Bristol. Also supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS partners providing data, domain expertise. University of Exeter Co-I contributing expertise in the legal and ethical issues around data privacy in relation to synthetic data protection. Exeter providing in-kind funding for Co-I. |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | Synthetic data generation for privacy-preserving prediction modelling in critical care |
| Organisation | University Hospitals Bristol and Weston NHS Foundation Trust |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | Provided insights into the intensive care unit data being analysed and artificial intelligence models being used for predictive tasks. Created a Python library to generate synthetic data based on existing medical data (still ongoing). I have attended multiple events for the synthetic generation of data for health applications, reporting back to the team. |
| Collaborator Contribution | The Royal Cornwall Hospital NHS Foundation Trust has been analysing ICU data and training predictive models. Other partners have provided feedback in the process. |
| Impact | Python library to generate synthetic data based on the statistics of a real intensive care unit dataset. |
| Start Year | 2025 |
| Description | Synthetic data generation for privacy-preserving prediction modelling in critical care |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provided insights into the intensive care unit data being analysed and artificial intelligence models being used for predictive tasks. Created a Python library to generate synthetic data based on existing medical data (still ongoing). I have attended multiple events for the synthetic generation of data for health applications, reporting back to the team. |
| Collaborator Contribution | The Royal Cornwall Hospital NHS Foundation Trust has been analysing ICU data and training predictive models. Other partners have provided feedback in the process. |
| Impact | Python library to generate synthetic data based on the statistics of a real intensive care unit dataset. |
| Start Year | 2025 |
| Description | Synthetic data generation for privacy-preserving prediction modelling in critical care |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project led by the University of Bristol. Also supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS partners providing data, domain expertise. University of Exeter Co-I contributing expertise in the legal and ethical issues around data privacy in relation to synthetic data protection. Exeter providing in-kind funding for Co-I. |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | Synthetic data generation for privacy-preserving prediction modelling in critical care |
| Organisation | University of Exeter |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded research project led by the University of Bristol. Also supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS partners providing data, domain expertise. University of Exeter Co-I contributing expertise in the legal and ethical issues around data privacy in relation to synthetic data protection. Exeter providing in-kind funding for Co-I. |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | Synthetic data generation for privacy-preserving prediction modelling in critical care |
| Organisation | University of Exeter |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provided insights into the intensive care unit data being analysed and artificial intelligence models being used for predictive tasks. Created a Python library to generate synthetic data based on existing medical data (still ongoing). I have attended multiple events for the synthetic generation of data for health applications, reporting back to the team. |
| Collaborator Contribution | The Royal Cornwall Hospital NHS Foundation Trust has been analysing ICU data and training predictive models. Other partners have provided feedback in the process. |
| Impact | Python library to generate synthetic data based on the statistics of a real intensive care unit dataset. |
| Start Year | 2025 |
| Description | Tongue-computer interface for widening computer access |
| Organisation | The Inspire Foundation |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | LEAP funded Twin Fellowship. This project does not include University of Bristol but is funded by LEAP's Twin Fellowship call |
| Collaborator Contribution | INSPIRE Foundation providing end user advice. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Tongue-computer interface for widening computer access |
| Organisation | University of the West of England |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded Twin Fellowship. This project does not include University of Bristol but is funded by LEAP's Twin Fellowship call |
| Collaborator Contribution | INSPIRE Foundation providing end user advice. |
| Impact | None to date, project just started |
| Start Year | 2025 |
| Description | Turning data into actionable NHS policy insights: developing data visualisation methods for population health management (PHM) of inequalities in cancer and cardiovascular disease outcomes |
| Organisation | NHS Bristol, North Somerset and South Gloucestershire ICB |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | "The LEAP Fellowship has led to research collaborations within the University of Exeter and the extended academic network (a) Internal Exeter networks - I have collaborated with the Research Software Engineering (RSE) on a £15K HDRUK-funded project to develop visualisation methods for health inequalities in primary care." |
| Collaborator Contribution | n/a |
| Impact | The collaboration has led to data visualisation dashboards for falls in heart failure cohorts (UniExeterRSE/population-health-dashboard: Prototype interactive dashboard for population health and health inequalities data.) |
| Start Year | 2025 |
| Description | Turning data into actionable NHS policy insights: developing data visualisation methods for population health management (PHM) of inequalities in cancer and cardiovascular disease outcomes |
| Organisation | University of Exeter |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | "The LEAP Fellowship has led to research collaborations within the University of Exeter and the extended academic network (a) Internal Exeter networks - I have collaborated with the Research Software Engineering (RSE) on a £15K HDRUK-funded project to develop visualisation methods for health inequalities in primary care." |
| Collaborator Contribution | n/a |
| Impact | The collaboration has led to data visualisation dashboards for falls in heart failure cohorts (UniExeterRSE/population-health-dashboard: Prototype interactive dashboard for population health and health inequalities data.) |
| Start Year | 2025 |
| Description | Working towards data-driven care |
| Organisation | Royal United Hospital Bath NHS Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Acquisition of data from patients suffering from a specific medical condition (axSpA), and obtaining clinical insights into real consultations with patients. |
| Collaborator Contribution | Analysing collected data and started the creation of a dashboard to inspect overall and individual medical cases. |
| Impact | Python library to automatically anaylise the dataset and provide a dashboard to interact with patients data. |
| Start Year | 2025 |
| Description | Working towards data-driven care |
| Organisation | UCB SA |
| Department | UCB Pharma |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Acquisition of data from patients suffering from a specific medical condition (axSpA), and obtaining clinical insights into real consultations with patients. |
| Collaborator Contribution | Analysing collected data and started the creation of a dashboard to inspect overall and individual medical cases. |
| Impact | Python library to automatically anaylise the dataset and provide a dashboard to interact with patients data. |
| Start Year | 2025 |
| Description | Working towards data-driven care |
| Organisation | University of Bath |
| Department | Bath Institute for Rheumatic Diseases (BIRD) |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Acquisition of data from patients suffering from a specific medical condition (axSpA), and obtaining clinical insights into real consultations with patients. |
| Collaborator Contribution | Analysing collected data and started the creation of a dashboard to inspect overall and individual medical cases. |
| Impact | Python library to automatically anaylise the dataset and provide a dashboard to interact with patients data. |
| Start Year | 2025 |
| Description | Working towards data-driven care |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Acquisition of data from patients suffering from a specific medical condition (axSpA), and obtaining clinical insights into real consultations with patients. |
| Collaborator Contribution | Analysing collected data and started the creation of a dashboard to inspect overall and individual medical cases. |
| Impact | Python library to automatically anaylise the dataset and provide a dashboard to interact with patients data. |
| Start Year | 2025 |
| Description | Working towards data-driven care: Exploring new methods and new technologies to optimise secondary care clinical dashboards presenting patient-generated health data and predictive analytics |
| Organisation | Royal United Hospital |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | LEAP funded Twin Fellowship. NHS fellow twinned with University of Bristol researcher (HCI expertise) and hosted at UOB. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS fellow will provide clinical expertise and onsite evaluation. Industry partners providing expertise (not costed). |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | Working towards data-driven care: Exploring new methods and new technologies to optimise secondary care clinical dashboards presenting patient-generated health data and predictive analytics |
| Organisation | UCB SA |
| Department | UCB Pharma |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | LEAP funded Twin Fellowship. NHS fellow twinned with University of Bristol researcher (HCI expertise) and hosted at UOB. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS fellow will provide clinical expertise and onsite evaluation. Industry partners providing expertise (not costed). |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | Working towards data-driven care: Exploring new methods and new technologies to optimise secondary care clinical dashboards presenting patient-generated health data and predictive analytics |
| Organisation | University of Bath |
| Department | Bath Institute for Rheumatic Diseases (BIRD) |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | LEAP funded Twin Fellowship. NHS fellow twinned with University of Bristol researcher (HCI expertise) and hosted at UOB. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS fellow will provide clinical expertise and onsite evaluation. Industry partners providing expertise (not costed). |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Description | Working towards data-driven care: Exploring new methods and new technologies to optimise secondary care clinical dashboards presenting patient-generated health data and predictive analytics |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | LEAP funded Twin Fellowship. NHS fellow twinned with University of Bristol researcher (HCI expertise) and hosted at UOB. Supported by a LEAP Researcher in Residence based at Bristol Uni. |
| Collaborator Contribution | NHS fellow will provide clinical expertise and onsite evaluation. Industry partners providing expertise (not costed). |
| Impact | None to date, project just started |
| Start Year | 2024 |
| Title | Tongue-computer interface |
| Description | "Description: This project involves the development of a wearable, form-fitted, tongue-computer interface to allow the tongue to control a computer pointing device, giving computer access to individuals unserved by traditional routes. The tongue-computer interface is intended to improve independence for the user, assisting with care outside the hospital and facilitating remote interaction between professionals and patients. Most recent stage of development: Prototype design - miniature, encapsulatable electronics for flexible printed circuit board, with microcontroller software and wireless interface. Current source of funding: LEAP Digital Health Hub Twin Fellowship" |
| Type | Management of Diseases and Conditions |
| Current Stage Of Development | Initial development |
| Year Development Stage Completed | 2026 |
| Development Status | Actively seeking support |
| Impact | None to report. |
| Title | ATMOSPHERE app |
| Description | Self-management app. The ATMOSPHERE app is a mobile app designed to help people with epilepsy to track their seizures and forecast the likelihood of having seizures |
| Type Of Technology | Software |
| Year Produced | 2025 |
| Impact | None |
| Title | Mimic III synthetic data generation |
| Description | A Python library that creates synthetic data based on a real dataset with a Mimic-III data structure. |
| Type Of Technology | Software |
| Year Produced | 2025 |
| Impact | No impact yet. |
| Title | Semantic matcher |
| Description | It allows the matching between a text description and a pool of people's descriptions with a ranking and explanations. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2025 |
| Impact | No real impact yet. |
| Description | (SWAIH 2024) Annual Meeting, Exeter - exhibition stand |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Engagement with healthcare analysts in the south west with LEAP's activities. Resulted in funding proposals and applications for the executive fellowship scheme. |
| Year(s) Of Engagement Activity | 2024 |
| Description | 33rd European Conference on Operational Research (EURO24) presentation - Leadership Engagement Acceleration & Partnership (LEAP) Digital Health Hub: Driving Sustainable Digital Healthcare |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | 33rd European Conference on Operational Research (EURO24). Copenhagen, Denmark. June 30 - July 3 2024. Daniel Gartner presented the LEAP programme at the EURO24 conference in Copenhagen. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Digital Health Seminar Series |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Other audiences |
| Results and Impact | LEAP researchers are running a Digital Health Seminar Series to provide an interdisciplinary space for digital health researchers, with talks from academia, industry, and healthcare. We aim to improve communication and collaboration across these disciplines by creating a space to come together. We have had two talks so far with about 30 people in person (academics) and 50 people online (mix of industry, NHS, public, charities) each time. |
| Year(s) Of Engagement Activity | 2025 |
| Description | EPSRC Digital Health Policy Event, London |
| 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 | Poster presentation about LEAP to digital health policy makers and other stakeholders |
| Year(s) Of Engagement Activity | 2024 |
| Description | Event series - AI & ML for Healthcare Professionals (MPN) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | A series of events, including invited talks with the Jean Golding Institute in Bristol, and co-production focus groups with healthcare professionals to help develop LEAP's AI for Clinicians training course |
| Year(s) Of Engagement Activity | 2024,2025 |
| Description | LEAP Executive Fellow events |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | A series of events for LEAP's Executive Fellow cohort (two held so far). This cohort comprises senior leaders, including C-suite executives and founders from industry, the NHS, public sector, and third-sector organisations in the South West and Wales. These events engage fellows in networking, opportunities to share best practice within the cohort, talks with digital health pioneers, and opportunities to feed into other key Hub activities. |
| Year(s) Of Engagement Activity | 2024,2025 |
| Description | LEAP PhD Fellowships Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Postgraduate students |
| Results and Impact | March 2024 - 20 attendees (sold out), co-creation for LEAP PhD Fellowship |
| Year(s) Of Engagement Activity | 2024 |
| Description | LEAP Research Sandpits |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Four sold-out themed sandpit events in June 2024 designed to bring together researchers and problem owners to form new collaborations and project ideas. The four sandpit events we held in June 2024 served as an important catalyst for ideas and collaborations that would eventually become proposals for our first research funding call. Each framed around one of the Hub's research themes, the sandpits consisted of invited talks from problem owners, networking sessions and curated project ideation activities. Attendees were matched by the Hub with others from different sectors with complimentary expertise to ensure cross-pollination of ideas. The events were very well attended, attracting 174 attendees from industry, health and social care organisations, and academia. 84% reported that they came away with a project idea they felt they could turn into a proposal, and 76% noted that they made 3 or more valuable new connections at the events. These sandpits played a significant role in partnership forming for our first call, as 60% of the project teams applying had previously attended one of LEAP's sandpit events. |
| Year(s) Of Engagement Activity | 2024 |
| Description | LEAP Research Strategy Roadshow |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Other audiences |
| Results and Impact | A series of workshops and meetings from Jan-Mar 2024 in Bristol, Bath, Exeter, and Cardiff to widen LEAP's network and co-develop our research themes with partners |
| Year(s) Of Engagement Activity | 2024 |
| Description | LEAP fellowship presentation (MW) - Bath Institute for Rheumatic Diseases (BIRD) patient webinar |
| 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 | Patients informed of fellowship project research, opportunities to ask questions and become involved in research. |
| Year(s) Of Engagement Activity | 2025 |
| Description | LEAP research project (LG) - Dementia Researcher Podcast |
| 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 | Public/other audiences |
| Results and Impact | LEAP funded project discussed research on national dementia podcast. |
| Year(s) Of Engagement Activity | 2025 |
| URL | https://www.dementiaresearcher.nihr.ac.uk/podcast-dr-lis-grey-service-evaluation-intervention-develo... |
| Description | LEAP twin fellowship (CJ & LS) - virtual ward data sandpit |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | LEAP funded fellowship hosted a half-day research 'sand-pit' with staff from Sirona Health and Care. Participants included the Head of Digital, Systems Safety and Transformation, the Clinical Lead for the Virtual Ward Service, and senior BI analysts. At the event we discussed access and availability of data held by Sirona, and what we could do with the data to support the Virtual Ward Service. |
| Year(s) Of Engagement Activity | 2025 |
| Description | LEAP website and social media |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | • LEAP's website has generated 31.9k views from 8.7k unique visitors since January 2024 • Our mailing list has grown to include nearly 900 individuals from 190 organizations, 94 of which are based in the South West and Wales • The Hub has a strong following on social media, with 675 followers on LinkedIn • Website includes regular blogs, recordings of events, and other resources |
| Year(s) Of Engagement Activity | 2024,2025 |
| URL | https://leap-hub.ac.uk/ |
| Description | MP Health and Care Operational Research 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 | This is a national network chaired by LEAP Co-I. It meets online monthly as well as supporting sub-groups focussed on specific areas of interest. The network regularly discusses the LEAP project and initiatives relevant to digital health. |
| Year(s) Of Engagement Activity | 2024,2025 |
| URL | https://arc-swp.nihr.ac.uk/research/projects/hacorn/ |
| Description | OR66 presentation - Leadership Engagement Acceleration & Partnership (LEAP): A Digital Health Hub for the South West and Wales |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Other audiences |
| Results and Impact | Daniel Gartner presented the LEAP programme at the OR66 conference in Bangor. Date: 10 -12 September 2024 |
| Year(s) Of Engagement Activity | 2024 |