Publication Type

Conference Proceeding Article

Publication Date

3-2016

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

Health Information Technology

Research Areas

Software and Cyber-Physical Systems

Publication

2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

Identifier

10.1109/PERCOMW.2016.7457133

Publisher

IEEE

City or Country

Sydney

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://doi.org/10.1109/PERCOMW.2016.7457133

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