Publication Type
Conference Paper
Version
submittedVersion
Publication Date
1-2016
Abstract
With the growth in elderly population in Singapore, healthcare expenditure and prevalence of age-related illnesses are expected to increase. Non-adherence among the elderly is a common issue that leads to adverse health complications, particularly among those with chronic conditions. However, existing studies typically focus on identifying predictors of medication adherence, and provide neither user-friendly nor actionable solutions that can be easily adopted by the elderly. In this paper, we use the Internet of Things to monitor medication adherence and detect changes in medication consumption patterns among the elderly, thus enabling timely interventions by caregivers to take place. Sensor-enabled medication boxes are deployed in the residences of ten elderly participants for more than four months, since Jul 2015. Preliminary results indicate that our solution can effectively monitor medication intake patterns, and identify elderly who are non medication-adhering.
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
IEEE PerCom Workshop on Pervasive Technologies and care systems for sustainable Aging-in-place (PASTA)
Identifier
10.1109/PERCOMW.2016.7457133
City or Country
Australia
Citation
TOH, Xiaoping; TAN, Hwee Xian; TAN, Hwee-Pink; and TAN, Hwee-Pink.
Elderly medication adherence with the internet of things. (2016). IEEE PerCom Workshop on Pervasive Technologies and care systems for sustainable Aging-in-place (PASTA).
Available at: https://ink.library.smu.edu.sg/sis_research/4004
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/PERCOMW.2016.7457133