Health Innovation Manchester has awarded almost £100,000 in funding to three local organisations.
The organisations are developing digital healthcare solutions aimed at improving the health and wellbeing of citizens.
The projects being funded include an initiative to improve outcomes for patients at high risk of complex wounds. There is also an app to prevent falls amongst older people by encouraging them to exercise. Also included is a digital platform aimed at identifying and reducing the risk of obesity in children and young people.
To be awarded funding, organisations were required to demonstrate collaboration with NHS or social care partners and, potentially, academic or other industry partners.
Health Innovation Manchester is an academic health science centre that works with local universities and care providers in Manchester to drive new technological development.
Chief executive Ben Bridgewater said it was “vital that innovative digital products are brought to market quickly and efficiently” so that health and social care could meet the demands of modern patients.
A portion of the funding was awarded to the University of Manchester. The university is developing a ‘gamified’ exercise and health literacy app for older people.
Called Keep-On-Keep-Up, the app is aimed at older people with long-term health conditions. It encourages them to keep healthy through exercise and proper hydration and nutrition.
The funding will also support the establishment of a Community Interest Company between the University of Manchester, Reason Digital and New Charter Housing Trust to make the technology ready for market.
Manchester-based iQ Digital Health has received money to help tackle child obesity through the development of an informatics platform.
The NHS Children’s Health and Monitoring Platform (CHAMP) will collect measurements of children from Manchester’s School Health Service. It will make the data available to parents, carers, health care professionals, education leadership, academia, clinical and data scientists.
The aim of the platform is to help clinicians gain an understanding of child obesity patterns. It also aims to predict weight-related illness and identify children with the highest health risk.
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