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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
Bering Ltd
Project | Brave AI: Supporting communities through anticipatory care outside of hospitals |
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Description |
Brave AI is a clinical decision support tool for prediction of all-cause unplanned hospital admissions over a 12-month period using only Primary Care records. Brave interfaces with routinely-collected patient information and provides patient-level predictions at a Primary Care Network (PCN) level. The insights produced by Brave can be used by proactive teams of healthcare professionals to deliver personalised care planning in our communities, enable self-management at home, and anticipate exacerbations of chronic conditions. |
Funding | £ 499,258 |
Competition | Competition 26 - Urgent & Emergency Care |
Competition Date | July 2024 |
Categories | Urgent & Emergency Care |
Health Innovation Network Partner | Health Innovation Kent Surrey Sussex |
Website | https://www.beringresearch.com/ |
Know Your Own Health
Project | The KYOH wellbeing snapshot and integration toolkit |
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Description |
The Know Your Own Health (KYOH) Wellbeing Snapshot & Integration Toolkit enables GP surgeries to offer personalised supported self-care in their practice as a step towards delivering integrated care. |
Funding | £ 79,545 |
Competition | Competition 7 - Integrated Care |
Competition Date | May 2014 |
Health Innovation Network Partner | Health Innovation Kent Surrey Sussex |
Website | http://kyoh.org/ |
We Predict
Project | Identifying individuals at risk of becoming complex patients |
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Description |
We Predict offer predictive analytics as a service to the health sector. The company uses epidemiology and statistics to analyse data and predict outcomes to improve patient experience, planning and health. The early stages of the project focusing on predicting patient complexity and the likelihood of unplanned admission to hospital within the next 12 months for particular population cohorts. |
Funding | £ 83,333 |
Competition | Competition 7 - Integrated Care |
Competition Date | May 2014 |