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, Michael (Misha) Pavel

Research output: Contribution to journalArticlepeer-review

16 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
StatePublished - 2007
Externally publishedYes

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Continuous activity monitoring and intelligent contextual prompting to improve medication adherence.'. Together they form a unique fingerprint.

Cite this