After the success of an initial research project, the Scottish Funding Council (SFC) has approved a follow-on innovation project for a collaboration between CM2000 and Edinburgh Napier University. The total funding is £40,000, and which is partially funded by CM2000.
The research team involves Prof Bill Buchanan, who is leading a major drive towards improved health and social using new information architectures, and Adrian Smales, whose current work focuses on the early signs of illness using Big Data methods.
Established in 1999, CM2000 are widely recognised as the market leading supplier of fully integrated and hosted electronic monitoring, scheduling and financial management solutions to both Council and Independent sector Homecare Providers in the UK. Our award winning solutions bring significant cashable savings and efficiencies as well as increased quality and safeguarding to the domiciliary care sector.
CM2000 currently provide scheduling and monitoring services directly to 49 Councils, 13 of which in Scotland (84 in total), and over 700 Independent Providers. Based in Sutton Coldfield in the West Midlands and Inverclyde within Inverclyde, Scotland, CM2000 is ideally located to service the needs of Local Authority and independent Homecare Providers throughout the UK.
CM2000 have developed and commercialised a mobile platform that enables an individual, social or clinical worker to be verifiably identified at a moderated location, such as a patient’s home. This allows tracking of community health and social care provision and ‘Time and Attendance’ monitoring of in-the-field staff. Currently CM2000 collect 10 million data points each and every month. This allows for the ability in capturing the individual’s assessment goal information quickly and easily at the point of care delivery.
Working with Edinburgh Napier University, CM2000 aim to leverage their existing capability to gather digitally additional in-home assessments of patients conditions in accord with NHS/Local Council requirements around frailty, and develop big data predictive techniques to help identify patients at risk, so pre-empting expensive hospital based care. This capability can help Health care providers internationally save £mills, and is at the heart of the opportunity the project aims to seize.
Currently, patient information can only be effectively captured in controlled environments such as hospitals, care homes or a GP surgery. The scope of this project is to significantly extend the effectiveness of CM2000’s mobile platform by applying the Edinburgh Napier University research into advanced predictive analytic techniques (Bayesian Inference / Decision Theory) and incorporating patient focused data capture with real-time personalised feedback.This technology will significantly contribute to governmental goals to promote social healthcare by allowing data capture and analysis in uncontrolled environments, such as a patient’s home.