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SBRI HEALTHCARE

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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

6
Companies funded
£1,728,019
Total funding

Directory search results

Upstream Health Ltd

Project Social AI empowering families for elderly support in the home
Description

Upstream believes that prevention is better than cure. Its mission is to facilitate the shift to earlier preventative care delivery and support people to stay well for longer in the places they want to be.

Upstream has developed a solution called Bridgit™. Bridgit provides a unique ecosystem of products that support patients to take the actions needed to keep themselves well, reassure family members that all is OK and enable stretched care teams to provide focused earlier interventions. Bridgit uses Microsoft’s AI capability and cloud services, along with new hardware devices (home hub and watch) specifically designed for accessibility by an elderly population. A population who may not have access to the internet or know how to use mobile applications.

Funding £ 657,436
Competition Competition 16 - Integrated Care and Social Care
Competition Date October 2019
Health Innovation Network Partner Yorkshire and Humber AHSN
Website https://bridgit.care/

Nelus AI

Project Frailty and outreach audiology screening, pathway redesign using AI/cognitive Bot
Description

Development of:
● An accessible interface, script and logic for conducting a bot administered validated frailty survey (e.g. PRISMA) in multiple outreach settings;
● The data structures for data collected at nodes in the patient pathway;
● Methodologies to ‘push’ timely information to key professionals in health, social care to catalyse their collaboration.

Elucidation of:
● How the BOT strengthens pathway integrity and resilience through enforced systematisation (i.e. to be effective, reliable and equitable);
● BOT and Screening technology interoperability;
● Key usability challenges that could prevent clinical and eHealth/ICT acceptance/uptake;
● Standards compliant secure data transfer across services;
● Complex analysis of data derived from diagnostic instruments and qualitative screening processes to standardise referral decision making and automate escalation throughout the patient pathway.

Funding £ 79,612
Competition Competition 16 - Integrated Care and Social Care
Competition Date October 2019
Website https://www.nelus.co.uk

Digital Home Visits Ltd (Vida)

Project Predictive analytics and home monitoring to improve domiciliary healthcare efficacy
Description

Using acoustic and motion sensors, carer notes and medical records, we aim to develop machine learning algorithms to detect changes in health and behaviour which signal the onset of health events relating to respiratory diseases.

These signals will be used to suggest interventions for early prevention to increase care efficacy.

Funding £ 79,918
Competition Competition 16 - Integrated Care and Social Care
Competition Date October 2019
Health Innovation Network Partner Imperial College Health Partners AHSN

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