Active Public Health & Healthcare Economics & Business

Aston University and Lee Mount Healthcare Limited KTP 24_25 R3

In plain English

AI plain-English summary

A care home’s software system will learn each resident’s patterns—sleep, movement, eating—and flag subtle changes that might signal a fall, infection, or worsening dementia before a human carer would notice. Most care homes still rely on paper notes or basic digital records that are updated only during staff rounds. This means early signs of deterioration—a resident who has stopped drinking, or is wandering more at night—can be missed for hours or days. The project aims to build a Smart Care Home platform that continuously pulls data from existing sensors, care logs, and wearable devices, then uses it to automatically update personalised care plans and alert staff to intervene earlier. If successful, the platform could reduce hospital admissions from care homes, ease the administrative burden on overstretched staff, and give residents more consistent, proactive care. It addresses a quiet but critical gap in the UK’s ageing infrastructure: the technology that underpins daily care decisions in residential settings. The project is a Knowledge Transfer Partnership between Aston University and Lee Mount Healthcare, focused on practical deployment rather than fundamental science.

View original technical description
To develop a Smart Care Home software platform to improve residents' quality of care by enhancing personalised care plans, enabling early health interventions and enhancing operational efficiency.

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Original classification

Knowledge Transfer Partnership

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.