• DocumentCode
    1855945
  • Title

    Continuous Activity Monitoring and Intelligent Contextual Prompting to Improve Medication Adherence

  • Author

    Lundell, J. ; Hayes, T.L. ; Vurgun, S. ; Ozertem, Umut ; Kimel, J. ; Kaye, J. ; Guilak, F. ; Pavel, M.

  • Author_Institution
    Intel Corp., Beaverton
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    6286
  • Lastpage
    6289
  • 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.
  • Keywords
    geriatrics; patient care; patient monitoring; telemedicine; context aware prompting systems; continuous activity monitoring; medication adherence; older adults; Alarm systems; Biomedical monitoring; Context awareness; Recruitment; Retirement; Testing; Artificial Intelligence; Drug Monitoring; Equipment Design; Equipment Failure Analysis; Humans; Monitoring, Ambulatory; Motor Activity; Patient Compliance; User-Computer Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353792
  • Filename
    4353792