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Search the SBRI Healthcare and NHS Cancer Programme Innovation Open call portfolio.
If you would like further information on any of the companies listed in the Directory please contact the SBRI Healthcare PMO by email sbri@lgcgroup.com or tel: +44 20 8843 8125.
We would be happy to make introductions to the companies or provide any further feedback you require.
At a glance
Directory search results
Maldaba
| Project | Easy-to-use health guide (My Health Guide) |
|---|---|
| Description |
Maldaba is developing My Health Guide, a ground-breaking app focussed on empowering the lives of learning-disabled adults. Adults with learning difficulties have a tailored solution to their medical and day-to-day life needs, enabling them to capture information and communicate preferences and wishes far more effectively than before. |
| Funding | £ 517,462 |
| Competition | Competition 7 - Telehealth and Telecare for People with Learning Disabilities |
| Competition Date | May 2014 |
| Health Innovation Network Partner | UCLPartners AHSN , South London AHSN , Yorkshire and Humber AHSN |
| Website | https://www.maldaba.co.uk/ |
Maldaba
| Project | Improving Annual Health Checks and Design EMIS interoperability |
|---|---|
| Description |
This project will open up a digital communication pathway between primary care and service users so that Annual Health Check (AHC) and Health Action Planning (HAP) processes will be more inclusive and provide better access to health and care services, including health promotion. |
| Funding | £ 595,150 |
| Competition | Competition 20 – Autism and Learning Disabilities |
| Competition Date | May 2022 |
| Categories | Health inequalities , Autism and Learning Disabilities |
| Health Innovation Network Partner | UCLPartners AHSN , South London AHSN , Yorkshire and Humber AHSN |
| Website | https://www.maldaba.co.uk/ |
Bering Ltd
| Project | Scalable integration and mathematical scrutiny of health and social care records for rapid identification of at at-risk patients |
|---|---|
| Description |
Bering is developing a mathematical model able to predict unplanned emergency hospital admissions with 91% accuracy. The model points to key factors that determine individual risk, allowing for initiation of a person-centred intervention. |
| Funding | £ 743,261 |
| Competition | Competition 7 - Integrated Care |
| Competition Date | May 2014 |
| Categories | Health inequalities , Injuries & Accidents |
| Health Innovation Network Partner | Kent Surrey Sussex AHSN |
| Website | https://www.beringresearch.com/ |