Manchester City Council

Outcome of Expression of Interest: Not shortlisted

Both Council’s have been in a discovery phase using Assistive Living Technology to increase opportunities for people to continue to live at home.  One strand of work has involved the use of movement sensors to track daily routines and respond when that pattern is broken. We intend to expand that discovery using sensors to assess whether people might have a UTI, based on frequency of trips to the bathroom. By monitoring movement activity we could detect the signs of a UTI early and intervene by activating a visit from someone from our health and social care integrated neighbourhood teams. In Manchester & Wigan we know that 2800 people had an emergency admission to hospital from a social care setting in a nursing home due to a UTI.  


Early intervention, triggered by a technology alert would improve the lives of local people and save money by preventing unnecessary hospital admission.   Both Council’s have a number of SMEs and larger digital partners they have been working with including Republic of Things, Alcover and Grandcare.        We have tested out with internal Housing Departments, Housing Partners including Southways Housing.  Nursing homes and the NHS Continence Team are also keen to participate.

Discovery evidence

Manchester’s AT Smart Homes pilot has been funded by the Innovate UK National IoT Demonstrator project, CityVerve. This project ended in July 2018 and a final evaluation has yet to be published. A final Innovate UK closure report is available but this is Commercially Restricted and cannot be published. However, an extract of the report relating to Smart Homes can be shared in confidence directly with your assessors.  


Wigan’ PPT Scheme was funded via the Housing and Technology Capital fund, implementation started in 2017.   Wigan implemented a number of solutions which promote independent living and also support Nursing homes. User findings demonstrated delivery of key benefits such as:

  • Being easy to use by residents
  • Reassured residents to feel confident and remain at home independently
  • Residents needed less home care visits
  • Nursing Home  – reduced hours spent on night monitoring
  • Nursing Home – fall monitoring reduced A&E/GP visits


Both schemes have proven the Technology can provide valuable assistance, we now have knowledge, skills and learning  which we would like to bring together in collaboration to explore a common issue we experience to reduce A & E Admissions in our respective localities and wider GM Borough.

  • Introduction to user research
  • Introduction to digital business analysis
  • Agile for teams