Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/1607
Appears in Collections:Computing Science and Mathematics Technical Reports
Peer Review Status: Refereed
Title: A Scalable Home Care System Infrastructure Supporting Domiciliary Care
Author(s): Gray, Philip
McBryan, Tony
Hine, Nick
Martin, Chris J
Gil, Nubia
Wolters, Maria
Mayo, Neil
Turner, Kenneth J
Docherty, Liam S
Wang, Feng
Kolberg, Mario
Contact Email: kjt@cs.stir.ac.uk
Citation: Gray P, McBryan T, Hine N, Martin CJ, Gil N, Wolters M, Mayo N, Turner KJ, Docherty LS, Wang F & Kolberg M (2007) A Scalable Home Care System Infrastructure Supporting Domiciliary Care. Scottish Funding Council. Technical Report CSM, 173. Department of Computing Science and Mathematics, University of Stirling.
Keywords: Home Care
Software Architecture
Policy-Based Management
Context-Sensitive System
Multimodal System
Dynamic Reconfiguration
Systems Integration
Telecommunication in medicine
Management information systems
Interactive multimedia.
Issue Date: Aug-2007
Date Deposited: 4-Sep-2009
Publisher: Department of Computing Science and Mathematics, University of Stirling
Series/Report no.: Technical Report CSM, 173
Abstract: Technology-mediated home care is attractive for older people living at home and also for their carers. It provides the information necessary to give confidence and assurance to everyone interested in the wellbeing of the older person. From a care delivery perspective, however, widespread deployment of home care technologies presents system developers with a set of challenges. These challenges arise from the issues associated with scaling from individual installations to providing a community-wide service, particularly when each installation is to be fitted to the particular but changing needs of the residents, their in-home carers and the larger healthcare community. This paper presents a home care software architecture and services that seek to address these challenges. The approach aims to generate the information needed in a timely and appropriate form to inform older residents and their carers about changing life style that may indicate a loss of well-being. It unites sensor-based services, home care policy management, resource discovery, multimodal interaction and dynamic configuration services. In this way, the approach offers the integration of a variety of home care services with adaptation to the context of use.
Type: Technical Report
URI: http://hdl.handle.net/1893/1607
Affiliation: University of Dundee
University of Glasgow
University of Dundee
University of Dundee
University of Dundee
University of Edinburgh
University of Edinburgh
Computing Science
University of Stirling
Computing Science and Mathematics - Division
Computing Science

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