08 December 2015 / Categories: News The power of predictive analytics Frailty is a common and growing multidimensional health and social care challenge associated with an increased risk of physical, cognitive and functional decline and adverse health outcomes in the ageing population. But can technology help predict when a person is likely to decline and allow for early intervention? CM2000’s monitoring technology already gathers real-time data on care visits and patient outcomes but we wanted to gather additional information on patients’ conditions, in line with NHS and Local Council requirements, developing predictive techniques to help identify those at risk. We are delighted to be working with Scotland’s thought leaders on developing innovative solutions that contribute to an efficient and sustainable health and social care system. Working in conjunction with Edinburgh Napier University (ENU), CM2000 are funding an innovative project to focus on the detection of frailty using data from a range of sources. This involves state-of-the art predictive tools. Adrian Smales, a Research Fellow at ENU, said: “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.” We are also conducting a Community Trial in East Dunbarton, and CM2000’s Director of Scotland, Brian Brown, has been at the forefront of all these developments. Brian is very excited about the future potential: “There is an enormous amount of data available which is currently under-utilised. This holds the key to understanding at what point intervention is required. We are excited to be working with ENU and a number of Scottish Councils on this ground-breaking work.” For more information on CM2000’s work on predictive analytics in Scotland, please call us on 0121 308 3010 or email email@example.com Previous Article Care & Dementia Show Round Up Next Article Protecting Lone Care Workers Print 14520 Rate this article: No rating Please login or register to post comments.