Support dementia: using wearable assistive technology and analysing real-time data

Support provided to sufferers of Dementia by the National Health Service (NHS) is mainly in the form of personal attendants such as nurses and social workers. The main focus of this paper is to present how the use of assistive technologies can help early sufferers of Dementia patients to overcome barriers in achieving their daily activities and to illustrate how data analytics, such as Complex Event Processing (CEP) in real-time can allow better monitoring of these patients. This activity will contribute to research work which is to provide a suitable framework to accurately analyse real-time data from assistive technology and wearable devices for remote healthcare, particularly monitoring early sufferers of dementia in order to promote good quality independent living

Report on the development of a prototype tool for measuring the context of care delivery in learning disability settings

This report details the background and context to the development of a prototype tool to measure compliance with factors thought to be necessary for the delivery of safe and compassionate learning disability nursing care to people with learning disabilities in inpatient and community settings. It also details the origins, development, and testing of this tool, along with reporting on its initial psychometric properties. Next, the report details the development of the demonstrator prototype; and explores the feasibility of further developing this prototype through a business case; this includes an outline of a range of factors related to the delivery system itself. Finally the report concludes on the success of the work so far undertaken, and points to some of the limitations, as well as articulating possible next steps to take this important work forward in contributing to the delivery of safe and compassionate learning disability nursing care to people with learning disabilities