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A Review of Medication Adherence Monitoring Technologies

WINLAB, Rutgers The State University of New Jersey, North Brunswick, NJ 08902, USA
State Co. for Internet Services, Ministry of Communications, P.O. Box 773, Basrah, Iraq
Electrical and Computer Engineering Department, Rutgers The State University of New Jersey, Piscataway, NJ 08854, USA
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in the IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON), New York City, NY, USA, 19–21 October 2017.
Appl. Syst. Innov. 2018, 1(2), 14;
Received: 1 April 2018 / Revised: 26 April 2018 / Accepted: 27 April 2018 / Published: 6 May 2018
(This article belongs to the Special Issue Healthcare System Innovation)
PDF [399 KB, uploaded 21 January 2019]


Medication non-adherence is a prevalent, complex problem. Failure to follow medication schedules may lead to major health complications, including death. Proper medication adherence is thus required in order to gain the greatest possible drug benefit during a patient’s treatment. Interventions have been proven to improve medication adherence if deviations are detected. This review focuses on recent advances in the field of technology-based medication adherence approaches and pays particular attention to their technical monitoring aspects. The taxonomy space of this review spans multiple techniques including sensor systems, proximity sensing, vision systems, and combinations of these. As each technique has unique advantages and limitations, this work describes their trade-offs in accuracy, energy consumption, acceptability and user’s comfort, and user authentication. View Full-Text
Keywords: medication intake; adherence monitoring; technology; pill bottle; sensor; wearable; RFID; computer vision; accuracy; energy medication intake; adherence monitoring; technology; pill bottle; sensor; wearable; RFID; computer vision; accuracy; energy
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Aldeer, M.; Javanmard, M.; Martin, R.P. A Review of Medication Adherence Monitoring Technologies. Appl. Syst. Innov. 2018, 1, 14.

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