ARMED (Advanced Risk Modelling for Early Detection), developed by HAS Technology, combines pioneering predictive data analytics modelling with innovative wearable technology.
With over 20 years’ experience of delivering results in IT operations and working in the public and private sector, as well as engaging with key institutional and business stakeholders, Adrian’s knowledge will be an asset to the organisation.
Adrian brings a great deal of expertise into the role which will build on his PhD research into Health Informatics and Frailty. The ability for understanding and deploying predictive models taking account of frailty components of a person applied through academic research will be unparalleled and will significantly enhance the ARMED solution.
The appointment of Adrian Smales as a Data Scientist underlines the company’s commitment to growing the innovative service to transform social care, enable individuals to live as independently as possible and make radical cost efficiencies with the health sector.
Brian Brown, Director of ARMED at HAS Technology Group commented: “Adrian’s wealth of experience will be an invaluable support to the team as ARMED continues with its innovative approach to health and wellbeing.
“Data is playing a more important part in service delivery, digital transformation and future redesign and Adrian’s knowledge will help to further strengthen our in-house specialisms in this sector.”
Adrian Smales added: “The opportunity to further enhance fall prevention technology to have a positive impact for users is an exciting prospect and I’m really looking forward to the challenge of making further improvements and to be able to digitally transform social care.”
As part of his role, Adrian will bring together computer science, extract, analyse and interpret large amounts of data from a range of sources, using algorithms, data mining and artificial intelligence.
With a proven success rate and 25:1 save to spend ratio, ARMED has quickly expanded, and gained Microsoft recognition, demonstrating how AI and deep learning can revolutionise preventative care.
To find out more about ARMED technology, visit https://www.armedprevention.co.uk/