A whole systems approach to successful innovation in older people's residential care
PHE ePoster Library. Szczepura A. Sep 12, 2019; 274428; 226
Prof. Ala Szczepura
Prof. Ala Szczepura
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Abstract
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Abstract Introduction
Whole systems approaches to the evaluation of new technologies to support frail elderly living in care homes and sheltered housing remain limited. Evaluations in real-life conditions are lacking. Randomised controlled trials are expensive and may not be suitable. ‘Living labs' can offer a valuable alternative where large-scale system data can be collected to evaluate innovations.
Method
A cluster of residential living labs has been established to provide 24/7 real-life test and experimentation environments. Collaborations have been established with Universities in England, Scotland and Ireland and with international industry partners. The resulting Data Driven Research and Innovation (DDRI) Programme aims to support independent living, healthy ageing, and more cost-effective care by establishing experimentation environments where users and producers can co-create innovations and large-scale data be collected.
Results
The living labs have demonstrated the development of machine learning algorithm from non-intrusive sensor data to build a well-being representation, and to evaluate innovative interventions for good sleep environment, nutritional support, physical activity and metal wellbeing. An ethics framework to ensure the needs of residents, families and staff are embedded in design and evaluation of future intervention projects. An innovation hub has been established in one care home for horizon-scanning, strategic technology selection and implementation, and knowledge transfer.
Conclusions
Over the next five years, a national network of 20 residential Living Labs with over 1,500 participants will be established. Generation of new user-led technologies, blueprints for capture of individual data at significant scale, and ethical and organisational guidelines will be developed. External funding details
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