RMAIS-EMBC2010 - 32nd Annual International Conference of...

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Abstract —There has been compelling evidence that outpatients, especially those who are elderly or taking multiple complexly scheduled drugs, are not taking their medicines as directed, leading to unnecessary disease progression, complications, functional disabilities, lower quality of life, and even mortality. Existing technologies for monitoring and improving drug adherence are either costly or too complicated for general patients to use. In this paper, we introduce the detailed design and the complete prototype of a marketable Radio-Frequency Identification (RFID)-based Medication Adherence Intelligence System (RMAIS) that can be conveniently used at a residential home by ordinary patients. RMAIS is designed to maintain patients' independence and enable them to take multiple daily medicine dosages of the right amount at the right time. The system is patient-centered and user-friendly by reminding a patient of the prescribed time for medication and dispensing it in a fully automatic and fool-proof way. This is achieved mainly due to its novel design of a motorized rotation platform and the smooth integration of a scale, an RFID reader, and the rotation platform. In addition, this system has an Internet-based notification function that is used to alert the patient when it is time to take medicine as well as report deviations from the prescribed schedule to the primary care physicians or pharmacists. I. INTRODUCTION According to the national council report [1], “In the United States and around the world, there is compelling evidence that patients are not taking their medicines as prescribed, resulting in significant consequences.” Medication noncompliance can result in unnecessary disease progression, complications, lower quality of life, and even mortality. As medical science has made possible new therapies and medicines to effectively treat more chronic or fatal diseases, medication schedules and conflicts between medicines have become more complicated and difficult for general patients to grasp. This problem is even worse for elderly patients who are forgetful or have dementia. The growing need for in-home healthcare devices is best described in [4] as the population growth of retirement-age Americans is projected to overload the current healthcare system and inevitably cause it to fail in less than ten years. Manuscript received April 1, 2010. This work was supported in part by the National Science Foundation under Grant CNS-0627318. Corey McCall, Branden Maynes and Cliff C. Zou are with the School of Electrical Engineering and Computer Science, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816 USA (phone: 407- 823-5015; fax: 407-823-5835; e-mail: czou@eecs.ucf.edu). Ning J. Zhang is with College of Health and Public Affairs, University
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RMAIS-EMBC2010 - 32nd Annual International Conference of...

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