Elderly Support To Inspired Ageing (ESTIA)
Elderly Support To Inspired Ageing (ESTIA)
In parallel to major demographic change occurring in societies today, austerity measures in the UK have had a considerable impact on local authority budget including social care for the elderly. This work reports on novel research, which aims to harness the value and the power of sharing economy based on digital platforms augmented by surveys to support elderly people in the UK. The Elderly Support To Inspired Ageing (ESTIA) digital platform aims to help the elderly people achieve independent, comfortable living at their home for longer. The three tools of the project are: (1) A contact/scheduling board where all carers and clinicians can share information; (2) A sensing platform that collects data from the house and the supported person’s activity; and (3) An on-demand service through which home care services and training can be commissioned. The ESTIA platform will provide a dynamic, shared-economy (Uber-like) market place for domiciliary care services. In essence, this project aims to provide more efficient care services with less administration cost. Finally, platforms such as ESTIA optimised for individual care, may demonstrate a structured transition from state supported to community supported care. This paper reports on initial analysis and the set-up of the ESTIA digital platform.
Elderly support, Sharing economy, Digital platform, Domiciliary care, Independent ageing
Bourikas, Leonidas
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Allott, Nick
6415c31a-7cd5-433d-94fc-f6b085831faa
Bahaj, Abubakr
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Connelly, John
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Gauthier, Stephanie
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James, Patrick
da0be14a-aa63-46a7-8646-a37f9a02a71b
4 July 2017
Bourikas, Leonidas
5faf69fc-1b5a-4613-ae9f-cd135092af9c
Allott, Nick
6415c31a-7cd5-433d-94fc-f6b085831faa
Bahaj, Abubakr
a64074cc-2b6e-43df-adac-a8437e7f1b37
Connelly, John
074927c0-0670-4dc3-9eaf-0de29490f26f
Gauthier, Stephanie
4e7702f7-e1a9-4732-8430-fabbed0f56ed
James, Patrick
da0be14a-aa63-46a7-8646-a37f9a02a71b
Bourikas, Leonidas, Allott, Nick, Bahaj, Abubakr, Connelly, John, Gauthier, Stephanie and James, Patrick
(2017)
Elderly Support To Inspired Ageing (ESTIA).
Passive Low Energy Architecture: Design to Thrive, , Edinburgh, United Kingdom.
03 - 05 Jul 2017.
8 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In parallel to major demographic change occurring in societies today, austerity measures in the UK have had a considerable impact on local authority budget including social care for the elderly. This work reports on novel research, which aims to harness the value and the power of sharing economy based on digital platforms augmented by surveys to support elderly people in the UK. The Elderly Support To Inspired Ageing (ESTIA) digital platform aims to help the elderly people achieve independent, comfortable living at their home for longer. The three tools of the project are: (1) A contact/scheduling board where all carers and clinicians can share information; (2) A sensing platform that collects data from the house and the supported person’s activity; and (3) An on-demand service through which home care services and training can be commissioned. The ESTIA platform will provide a dynamic, shared-economy (Uber-like) market place for domiciliary care services. In essence, this project aims to provide more efficient care services with less administration cost. Finally, platforms such as ESTIA optimised for individual care, may demonstrate a structured transition from state supported to community supported care. This paper reports on initial analysis and the set-up of the ESTIA digital platform.
More information
Published date: 4 July 2017
Venue - Dates:
Passive Low Energy Architecture: Design to Thrive, , Edinburgh, United Kingdom, 2017-07-03 - 2017-07-05
Keywords:
Elderly support, Sharing economy, Digital platform, Domiciliary care, Independent ageing
Identifiers
Local EPrints ID: 419715
URI: http://eprints.soton.ac.uk/id/eprint/419715
PURE UUID: 5746c9b5-c9fa-4011-94e5-2fd907be439a
Catalogue record
Date deposited: 19 Apr 2018 16:31
Last modified: 16 Mar 2024 04:21
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Contributors
Author:
Leonidas Bourikas
Author:
Nick Allott
Author:
John Connelly
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