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
Link To Document :
بازگشت