Developing and evaluating technology-assisted workforce solutions to reduce burden on staff while maintaining patient outcomes (for example, diagnoses assisted by artificial intelligence, robotics to support surgery and care, remote monitoring of patients including hospital at home and virtual wards)
Background
Research objective: Research to optimise a public health, NHS, social care and wider health workforce that is effectively structured, trained, deployed and supported to deliver future effective and efficient models of healthcare which meet the needs of the UK’s ageing population.
Priority research topics: Developing future models of healthcare which effectively and efficiently meet the changing needs of the UK population. Developing, evaluating and understanding how to implement interventions to enable a diverse health and care workforce to deliver world-class care while addressing the current recruitment, retention and wellbeing issues such as:
Next steps
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Source
This question was published as part of the set of ARIs in this document:
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Related UKRI funded projects
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The project addresses the issue of staff retention in healthcare through an AI platform, aligning with the research objective.
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Why might this be relevant?
The project focuses on improving access to healthcare and reducing travel time, partially addressing the workforce burden issue.
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SwiftCare - INFORMATION SYSTEMS for HEALTH & WORK
Time-off work due to sickness, informal care giving, and health-related productivity losses are estimated to cost a staggering £100billion annually (Public Health England 2020). Poor mental health costs UK employer...
Funded by: Innovate UK
Why might this be relevant?
The project also aims to improve access to healthcare and reduce travel time, partially addressing the workforce burden issue.