Title |
Deployment of assistive living technology in a nursing home environment: methods and lessons learned
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Published in |
BMC Medical Informatics and Decision Making, April 2013
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DOI | 10.1186/1472-6947-13-42 |
Pubmed ID | |
Authors |
Hamdi Aloulou, Mounir Mokhtari, Thibaut Tiberghien, Jit Biswas, Clifton Phua, Jin Hong Kenneth Lin, Philip Yap |
Abstract |
With an ever-growing ageing population, dementia is fast becoming the chronic disease of the 21st century. Elderly people affected with dementia progressively lose their autonomy as they encounter problems in their Activities of Daily Living (ADLs). Hence, they need supervision and assistance from their family members or professional caregivers, which can often lead to underestimated psychological and financial stress for all parties. The use of Ambient Assistive Living (AAL) technologies aims to empower people with dementia and relieve the burden of their caregivers.The aim of this paper is to present the approach we have adopted to develop and deploy a system for ambient assistive living in an operating nursing home, and evaluate its performance and usability in real conditions. Based on this approach, we emphasise on the importance of deployments in real world settings as opposed to prototype testing in laboratories. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | <1% |
United Kingdom | 2 | <1% |
Malaysia | 1 | <1% |
France | 1 | <1% |
Germany | 1 | <1% |
Colombia | 1 | <1% |
Norway | 1 | <1% |
Singapore | 1 | <1% |
Mexico | 1 | <1% |
Other | 0 | 0% |
Unknown | 320 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 58 | 18% |
Student > Ph. D. Student | 55 | 17% |
Researcher | 41 | 12% |
Student > Bachelor | 34 | 10% |
Student > Doctoral Student | 20 | 6% |
Other | 47 | 14% |
Unknown | 76 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 44 | 13% |
Nursing and Health Professions | 42 | 13% |
Medicine and Dentistry | 38 | 11% |
Psychology | 32 | 10% |
Social Sciences | 24 | 7% |
Other | 62 | 19% |
Unknown | 89 | 27% |