Continuous activity monitoring and intelligent contextual prompting to improve medication adherence.

Jay Lundell, Tamara L. Hayes, Sengul Vurgun, Umut Ozertem, Janna Kimel, Jeffrey Kaye, Farzin Guilak, Misha Pavel

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

Poor medication adherence is a serious medical problem, particularly in older adults. Various solutions have been developed to remind people to take their medications, but these systems are usually simple time-based alarm systems that are not particularly effective. We describe a system that is context aware, and that utilizes information about past patterns of behavior plus the current context to provide prompts at the appropriate time and place. A case study from our initial deployment of the system to eleven older adults illustrates the possibilities and advantages of context aware prompting systems.

Original languageEnglish (US)
Pages (from-to)6287-6290
Number of pages4
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Publication statusPublished - 2007
Externally publishedYes

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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