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Smart Senior Residences: How to Improve Services Efficiency and Quality by Exploiting Big Data and Ambient Intelligence
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Author(s): Bruno Bouchard (Université du Québec à Chicoutimi (UQAC), Canada), Kevin Bouchard (Université du Québec à Chicoutimi (UQAC), Canada), Sebastien Gaboury (Université du Québec à Chicoutimi (UQAC), Canada)and Abdenour Bouzouane (Université du Québec à Chicoutimi (UQAC), Canada)
Copyright: 2018
Pages: 21
Source title:
Big Data Management and the Internet of Things for Improved Health Systems
Source Author(s)/Editor(s): Brojo Kishore Mishra (C. V. Raman College of Engineering, India)and Raghvendra Kumar (LNCT Group of Colleges, India)
DOI: 10.4018/978-1-5225-5222-2.ch005
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Abstract
Population aging is the most significant social transformations of our century. In this context, affordable senior housing with supportive services is a key component to the world's long-term care continuum. One of the main issues is how to cost-efficiently provide adapted (and increasingly complex) care services in senior residences to an exponentially growing number of people considering staff shortage. The rise in operating costs (energy, food, etc.) forces companies to find new ways to stay competitive. In that context, this chapter tries to propose avenues of solutions by giving some answers to a simple question: how to optimize the work of the staff to meet the growing demand considering the context of staff shortage. More precisely, this chapter studies methods and strategies to exploit Ambient Intelligence and Big Data to increase the number of residents an employee can support by automating a part of his daily work.
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