Launch of EPSRC-funded SCAMPI Research Project: Self-Care Advice, Monitoring, Planning and Intervention

by Faculty Events


Thu, Mar 23, 2017

2 PM – 5 PM

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Bayes Business School, 106 Bunhill Row

106 Bunhill Row, London EC1Y 8TZ, UK

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The new EPSRC-funded SCAMPI project will develop a new form of digitalised toolkit that will allow someone living in their own home with a chronic condition, together with their relatives, carers and healthcare professionals, to self-manage both their care of the condition and life with it. People will interact with the new toolkit through a new form of care plan that will be visual, natural and simple-to-use. The new care plan will enable someone living at home with a chronic condition to customise their life and care according to their individual needs and preferences, with pro-active support for thinking about important care goals and qualities, as well as the means to achieve those goals and qualities. The person will also be able to share the plan with named relatives, their carers and targeted healthcare professionals such as specialist nurses and their GPs, and make joint decisions about customising the care plan so that the person’s needs can be met more effectively, even when these other people are elsewhere, using web technologies.

Moreover, the visual care plan will update regularly with care-specific feedback from discrete and cost-effective sensor devices placed around the person’s home. Using the available data from these sensors as input to different artificial intelligence algorithms, a person’s visual care plan will indicate the degree to which the care goals and qualities of the person as specified in the plan are being achieved, and if needed, flag potential risk indicators along with care recommendations when a goal or quality is not being achieved. This intelligence-led feedback is predicted to support self-care and reduce the need for routine interventions from healthcare professionals in the management of chronic conditions.

The SCAMPI Project Consortium
To research and develop this new digitized toolkit, leading researchers in computer science, the health sciences and digital business at City, University of London have joined forces. The lead will include Drs Dympna O’Sullivan and Simone Stumpf (Computer Science), Profs Paul Burstow and Julienne Meyer and Dr Shashi Hirani (Health Sciences), and Profs Feng Li and Neil Maiden (Cass). The team will develop the first version of the toolkit to support with people with two conditions – dementia and Parkinson’s disease. And to engage people with these conditions, their families, carers and disease experts in the co-design and evaluation of the toolkit, the researchers will work closely with the Alzheimer’s Society and Parkinson’s UK.

Moreover, to maximise impact from SCAMPI, the team will work with 6 London-based Care Commissioning Groups (CCGs) – Sutton CCG and the CWHHE Collaborative of 5 CCGs. Digital entrepreneurs Evalucom Consulting will seek to commercialise the research results so that the elements of the toolkit can be made quickly and widely available.

The Launch Event Agenda
The event will provide you to learn more about the project and planned toolkit, meet the consortium, and provide inputs into research and development:
  1. An introduction and overview of the SCAMPI project [Prof Neil Maiden, City]
  2. SCAMPI in the context of healthcare grand challenges [Nigel Birch, EPSRC]
  3. How SCAMPI will implement future health/social care and industrial strategies [Prof Paul Burstow, City]
  4. Delivering a cost-effective and sustainable SCAMPI toolset [Prof Feng Li, City]
  5. A first presentation of the future SCAMPI toolkit [Dr Simone Stumpf, City]]
  6. How SCAMPI can support people with dementia [Colin Capper, Alzheimer’s Society]
  7. How project can support people with Parkinson’s [Shaun Sidhu]
  8. Panel session: How to optimise the SCAMPI toolkit's effectiveness [Prof Julienne Meyer, Dr Simone Stumpf, Prof Paul Burstow, Prof Feng Li]
The event will also provide opportunities for networking and individual conversations with members of the project team.


Bayes Business School, 106 Bunhill Row

106 Bunhill Row, London EC1Y 8TZ, UK