Active Economics & Business Education & Skills

University of Strathclyde and Solutions On Demand Limited KTP 24_25 R5

In plain English

AI plain-English summary

A care home manager in the UK can now see, in real time, whether a resident’s mood or behaviour has changed, and whether that change correlates with a specific staff intervention or activity. This project embeds user adoption and management methodologies into Connect, a Software-as-a-Service platform already used in residential care and education settings. The problem is that many care technologies work well in theory but fail in practice because staff are not trained to use them consistently, or because the data they generate is never analysed in a way that changes daily routines. The research will test how to scale Connect’s commercial use by evaluating what actually makes care teams adopt and stick with the platform. If successful, the outcome is not a new device or drug, but a repeatable method for getting care homes to use outcome-monitoring software effectively. That could mean fewer hospital admissions, earlier detection of decline in vulnerable people, and better value for public money spent on social care. It also gives the company behind Connect a validated pathway to sell its product at scale, rather than relying on one-off contracts that never embed.

View original technical description
To embed capacity in user adoption and management methodologies to evaluate and scale the commercialisation of Connect, a Software-as-a-Service care management platform for residential care and education outcome monitoring.

View the original record at the funder ↗

Related Research

Grants with similar aims, by meaning.

University of Strathclyde and Lifelink KTP 24_25 R5
University of the West of Scotland and Habitat Learn Limited KTP 22_23 R5
Glasgow Caledonian University and CPA Engineered Solutions Limited KTP 21_22 R5
University of the West of Scotland and SC&T Global Limited KTP 23_24 R2
University of Strathclyde and Ailsa Reliability Solutions Limited KTP 23_24 R2

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.