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CASE STUDY

From Fragmented Systems to Neighbourhood Solutions

Bringing systems, data and people together to deliver proactive care that lasts

Project | Shift to Personalised, Preventative Care

Specialisms |
Behavioural insights & Engagement, Graphic Scribes, Narrative Building, Organisational Development & Health Coaching, People Centred Design, Research

THE CHALLENGE

A single ICB area reported 600 most complex needs patients who accounted for 3,500 A&E attendances and  55,000 GP interactions in one year.

We discovered care was fragmented, inappropriately used, with professionals using disconnected systems and patients repeating their stories and getting lost navigating services.

Our work designed and launched ‘integrated neighbourhood teams’ at the place, which were energised and enabled to deliver proactive, preventative care to high-risk patients and, as a result, reduce demand on services.

Digital Neighbourhood GraphicScribe

OUR APPROACH

Working with 6 ICBs, 31 PCNs and 6 Vanguards across the South West, we engaged hundreds of professionals and thousands of residents and communities, we co-designed pilots and solutions that were tested at a small scale and scaled up. Our pilots included:

  • Using predictive AI to identify patients at risk
  • Forming multi-disciplinary teams to identify holistic needs and provide proactive care
  • A shared care record to streamline referrals.
Big Room full of people working together

THE IMPACT

We co-designed solutions with professionals and patients. This was Human-Centred Design, it enabled local systems to harness technology and work better and faster together.

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Sparking a dramatic move to people-centred, preventative care and stronger local collaboration, people where motivated, well and happier, Service use for health and care dropped.

2,500

People involved in pilots

3-31-6

3 ICB's, 31 vanguards ^ integrated pilots from across the South West

15

Tests of change now being scaled up

“Access to the best technology doesn’t drive change. Without collaboration across systems and people, even the most advanced data and AI systems won’t improve outcomes.“

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