High Impact Change Model: AI for System-wide Decision Support
Benefits
By analysing large volumes of data across the system, AI can help spot issues earlier, predict future needs, and personalise support. The aim is to provide more proactive, preventative care. Use cases include predicting falls, hospital readmission, mental health crisis, or homelessness for early intervention. Benefits include freeing up staff time, focusing skilled staff on complex cases, improving responsiveness and consistency in decision-making.
Details
- Tool name
- High Impact Change Model: AI for System-wide Decision Support
- Organisation
- Local Government Association
- Status
- planned
- AI method (as recorded)
- Natural Language Processing, Machine Learning, Other
- AI method (normalised tags)
- Natural Language Processing Machine Learning Other
- Usecase
- Predictive Analytics
- Owning team
- Local Government Association - Partners in Care and Health
- Date added
- Scrape date
- 15/04/2026
- Source note
- Part of the High Impact Change Model focusing on using data and intelligence for whole system decision support. The model outlines four ambition levels: Foundational, Developing, Established, and Exemplar for implementing AI in local government systems. A case study about preventing falls in Norfolk County Council is referenced but details are not provided in the scraped content. [Source]