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Daily Newsletter

29 July 2025

Daily Newsletter

29 July 2025

Lee Mount Healthcare and Aston University partner for care system

The system aims to automate tasks that are carried out on a routine basis and compliance reporting.

Rachana Saha July 28 2025

Lee Mount Healthcare and Aston University are set to develop a ‘Smart Care Home’ system, incorporating AI into a care home setting.

The development and integration of this system are expected to enhance the quality of care provided for residents.

Using machine learning, the system aims to automate compliance reporting and tasks that are carried out on a routine basis. It will also tailor care to individual resident needs by using health metrics, care preferences, and other data.

The Smart Care Home system is anticipated to enhance care quality while reducing costs, enabling staff to dedicate more time to resident interaction by alleviating administrative burdens.

The collaboration is structured as a Knowledge Transfer Partnership (KTP), supported by Innovate UK funding.

KTPs are designed to help businesses enhance their productivity and competitiveness using technology, insights, and skills.

Lee Mount Healthcare director Manjinder Boo Dhiman said: “As a company, we’ve always focused on innovation and breaking barriers, and this KTP builds on many years of progress towards digitisation.

“We hope by taking the next step into AI, we’ll also help to improve the image of the care sector and overcome stereotypes, to show that we are forward thinking and can attract the best talent.”

For the development of this system, Lee Mount Healthcare is collaborating with the Aston Centre for Artificial Intelligence Research and Application (ACAIRA) at Aston University.

ACAIRA focuses on creating AI solutions to solve significant health, societal, and environmental issues, working with industry partners to drive change on multiple levels.

Aston University School of Computer Science and Digital Technologies Applied AI and Robotics lecturer Dr Roberto Alamino said: “For practical applications of machine learning, it’s important to establish a common language between us as researchers and the users of the technology we are developing. We need to fully understand the problems they face so we can find feasible, practical solutions.”

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