Active Mental Health

Ulster University and Carecall (NI) Limited KTP 24_25 R2

In plain English

AI plain-English summary

A mental health organisation’s existing data—appointment records, assessment scores, session notes—will be turned into a live management tool rather than sitting in a database as a static record. The problem is that mental wellbeing services collect large amounts of client data but rarely use it to improve how the service itself runs. Managers lack real-time insight into whether clients are improving, which interventions work best, or where bottlenecks occur. Without this, services cannot systematically raise their quality or tailor care to what actually helps. The new software, called MINDSET, will apply digital algorithms to that routine data. It will flag when a client’s progress stalls, highlight which therapists or programmes achieve the best outcomes, and help managers allocate resources more effectively. If successful, the product could give any mental wellbeing organisation—from a small charity to a large NHS trust—a continuous, data-driven way to assure quality and improve client experience, without requiring extra staff or manual audits. The project is a direct commercial development, not fundamental science; its impact is practical and immediate.

View original technical description
To develop 'MINDSET', a novel software product that maximises the use of existing mental wellbeing service data and uses digital algorithms to help manage and continuously quality-assure services as well as provide insights to improve the client experience and efficacy in a mental wellbeing organisation

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Related Research

Grants with similar aims, by meaning.

Ulster University and Action Mental Health KTP 22-23 R1
University of Ulster and Carecall (NI) Limited
London Metropolitan University and Mobilise Care Limited KTP 23_24 R4
Queen’s University of Belfast and Positive Futures: Achieving Dreams Transforming Lives KTP 23_24 R2
University of Ulster and Advanced Care (NI) Limited

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.