Scottish Knowledge Exchange Awards name CM2000 & ENU as finalists

Date: 02nd Mar 2018

CM2000’s risk escalation tool, ARMED – (Advanced Risk Modelling for Early Detection), developed with Edinburgh Napier University (ENU), East Dunbartonshire Health & Social Care Partnership, Loreburn Housing Association, and the Digital Health and Care Institute Innovation Centre, was shortlisted within the Multiparty Collaboration Award category at the Scottish Knowledge Exchange Awards 22nd February 2018.

The announcement was made at The Scottish Knowledge Exchange Awards ceremony, run by Interface, which recognises the impacts achieved through collaborative business and academic partnerships.

ARMED combines ground-breaking technology and predictive analytics and is designed to predict people at risk of falling in their homes, therefore preventing falls whilst allowing people to be more active.

Brian Brown, Director for Scotland, CM2000 said:

“We are delighted that our innovative prevention tool ARMED has been recognised within these awards. By enabling self-management and early intervention, hospital admissions can be prevented. Working with ENU, DHI and Service Users from both East Dunbartonshire HSCP and Loreburn Housing Association has been a real privilege. We are thrilled to be finalists in these prestigious awards.”

Adrian Smales, a Research Fellow at ENU explained the background to the project:

“We have a long-term vision of using data to detect the early signs of illness and apply new methods that should lead to improved care and better outcomes for all.”

One of the Judges, Dr Stuart Fancey, Director of Research and Innovation at The Scottish Funding Council, said:

“The calibre of entries to this year’s awards was very impressive – as was the diversity. The Scottish Funding Council is delighted to see universities and innovation centres playing such a strong role in the successes of Scotland’s businesses and public sector.”

With innovative wearable technology and Health and Social Care data, ARMED helps to identify and predict those at risk of falling, as well as indicating other frailty indicators. This allows for timely intervention and better self-management in the comfort of the Service User’s home, avoiding expensive hospital stays.

Find out more about ARMED.

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