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SBRI HEALTHCARE

Search our Innovation Portfolio

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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

4
Companies funded
£1,757,282
Total funding

Directory search results

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/

Know Your Own Health

Project The KYOH wellbeing snapshot and integration toolkit
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.
Supporting people to self-care can improve people’s quality of life, clinical outcomes and positively change their patterns of contact and behaviour with health and care services. It can also reduce unnecessary hospital admissions, result in fewer visits to the GP surgery and the risk of increasingly complex comorbidities.

Funding £ 79,545
Competition Competition 7 - Integrated Care
Competition Date May 2014
Health Innovation Network Partner Kent Surrey Sussex AHSN
Website http://kyoh.org/

We Predict

Project Identifying individuals at risk of becoming complex patients
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

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